TI-血氧与心率的采集计算
ICU常用计算公式
心脏学公式体循环阻力体循环阻力(dyne×sec)/cm5=80×(MAP-RAP)/C.O.MAP=平均动脉压RAP=右心房压C.O.=心输出量正常值=900-1300(dyne×sec)/ cm5平均动脉压(MAP)MAP(平均动脉压)=舒张压+[1/3(收缩压-舒张压)]心输出量心输出量(L/min)=BSA=体表面积(M2)Hb=血红蛋白(g/100ml)SaO2&SvO2=动脉血氧饱和度—静脉血氧饱和度。
心脏指数是心输出量以个体为单位计算的心脏指数=心输出量/体表面积(L/min/M2)总外周血管阻力(SVR)SVR=(平均动脉压-中心静脉压)÷心排出量×80正常值为100-130kpa.s/L杜克平板测验分数=未出现心绞痛:测试持续时间(min)-5.0×最大ST段下降(mm)持续心绞痛:测试持续时间(min)-5.0×最大ST段下降(mm)-4.0×1测试因心绞痛中止:测试持续时间(min)-5.0×最大ST段下降(mm)-4.0×2风险级别:高风险:杜克平板实验分数<-5高风险:杜克平板实验分数>10校正的QT间期=测量的QT间期(sec)÷sqrt(R-R间期)正常值:校正的QT间期不应该超过:0.45(婴儿<6个月)0.44(儿童)0.425(青少年和成人)2DO2=1.34×[SaO2(动脉血氧饱和度)×Hb(血红蛋白)]×CO×102VO2=1.34×[(CaO2(动脉血氧含量)×CvO2(静脉血氧含量))×CO×10CaO2=1.34×SaO2×HbCvO2=1.34×SvO2×Hb氧耗量(ml/min)=心输出量(C.O.)×(13×Hgb)×(SaO2-SvO2)SaO2=动脉血氧饱和度SvO2=静脉血氧饱和度正常值=110-160ml/min/M2若平均体表面积为1.73M2,则正常值=190-275ml/min肺脏学公式22PaCO2=0.863×VCO2/VAVCO2为CO2排出量(ml/min)Va为每分钟肺泡通气量(L/min)0.863为使气体容量(ml)变为Kpa(mmHg)的转换因子2坐位:P a O2=104.2-0.27×年龄仰卧位:P a O2=103.5-0.42×年龄2C a O2=0.003×P a O2+1.34×S a O2×Hb2S a O2=HbO2÷(HbO2+Hb)×100%HbO2是血红蛋白结合的氧量急性肺损伤的氧合指数=动脉血氧分压/吸入气氧分数氧合指数<300,诊断为急性肺损伤(ALI)氧合指数<200,诊断为急性呼吸窘迫综合症(ARDS)2(1)吸入气氧分压P I O2=(大气压—P H2O)×吸入氧浓度%(2)肺泡气PO2(P A O2)=P I O2—PCO2×1.25(3)肺泡动脉氧分压差(P(A-a)O2)=P A O2—P a O2将(2)的结果代入(3)中即可得P(A-a)O2肺泡氧分压(P a O2)(mmHg)=[F I O2(%)×(大气压-PH2O)]-(P a CO2×1.25)] F I O2=吸入气浓度(%)P H2O=气道水蒸气压力,通常为6.3Kpa,即47mmHgP a CO2=动脉血二氧化碳分压肺顺应性(Cdyn)=潮气量÷(最大气道压-呼气末正压)肾脏学公式3尿HCO3-排泄率=[尿HCO3—(mmol/L)×血肌酐(umol/L)]÷[血浆HCO3—(mmol/L)×尿肌酐(umol/L)]×100ERPF=(尿液PAH浓度×尿量)÷血浆PAH浓度(mi/min)C osm =(U osm×V)÷P osm(ml/min)其中V为每分钟尿量U osm为尿渗透压,正常成人尿渗透压600-1000 mOsm/kg.H2O,平均为800 mOsm/kg.H2OCockcroft公式Ccr=(140-年龄)×体重(kg)/72×Scr(mg/dl)(男性)Ccr=(140-年龄)×体重(kg)/85×Scr(mg/dl)(女性)Durate公式该公式与实测Ccr相关性较好,且不需测体重,更适合于危重病人。
血氧仪的血氧心率标准
血氧仪的血氧心率标准
血氧的检测可以帮助医生诊断一些会影响健康的状况,也是身体健康状况的重要指标之一。
血氧仪是一种检测血氧、心率等数据的小型设备,它可以通过检测血液流过手指的光来确定血氧饱和度。
血氧仪的血氧心率标准可能因性别、年龄、身高、体重和其他因素略有不同,但人体理想的血氧心率是脉搏心率乘以血氧饱和度乘以100后所得的值。
一般而言,女性的血氧心率应该在95%以上,男性的血氧心率应该在94%以上,婴儿的血氧心率应该在95%-100%之间。
且血氧心率越高,血液的氧含量就会越高,从而更有利于身体健康。
血氧的检测是医学诊断的重要手段,测量血氧仪的血氧心率标准可以有效地检测血液的氧含量,从而及时发现问题,避免可能带来的风险。
血氧仪是一款便携式、易于使用的设备,它可以随时随地检测出血液的氧含量,它考虑到患者的年龄、性别等因素,同时提醒患者保持良好的血氧心率水平。
如果患者的血氧率低于正常范围,就需要及时进行体检处理,以确保健康。
心率怎么算
心率怎么算心率是指心脏每分钟跳动的次数,通常用每分钟跳动次数来表示。
它是衡量心血管系统运作情况的重要指标之一,也是人体健康状况的反映。
心率的计算有多种方法,常见的方法有手动计算和利用心率监测设备自动计算两种。
接下来将详细介绍这两种计算方法。
手动计算心率的方法是最简单直观的。
手动计算的步骤如下:首先,找到一个舒适的位置,尽量保持静止。
可以坐下或躺下,但不要进行剧烈运动。
然后,用三根手指轻轻按压动脉,常见的测量部位有颈动脉、腕动脉和股动脉。
按压时要避免用力过大,以免影响血流。
在按压的同时,用计时器计算出持续60秒的时间。
在这个时间内,注意数清脉搏跳动的次数。
最后,将数到的脉搏跳动次数作为心率,单位为每分钟次数(bpm)。
手动计算的优点是简单易行,不需要额外的设备,特别适用于日常生活中快速了解自己的心率情况。
但是手动计算也有一些限制,比如在剧烈运动或情绪激动时可能会导致计算不准确。
自动计算心率的方法则利用了心率监测设备。
常见的心率监测设备有心率表、心率手环、智能手表等。
这些设备一般都通过传感器来检测脉搏跳动情况,并将心率数据显示在设备的屏幕上。
自动计算心率的步骤相对简单,只需要佩戴设备并合理使用即可。
通常来说,需要将设备佩戴在身体部位(如手腕、胸部等)接触到皮肤的位置,并按照设备的说明进行操作。
自动计算心率的优点是准确性较高,可以实时监测心率情况,并记录下来以供建议和分析。
但是自动计算心率的设备价格较高,需要购买额外的设备来实现。
总结起来,心率的计算方法有手动计算和自动计算两种。
手动计算方法简单直观,但不准确;自动计算方法准确性高,但需要额外的设备支持。
根据实际需求和经济条件,选择适合自己的心率计算方法,有助于对心脏健康进行有效监测和评估。
注意,本文中没有出现任何网址、超链接和电话、广告。
心率计算方法
实时心率计算方法
假设心电图机的采样频率为1000,即每秒采样1000个数据,我们采样4秒钟的心电数据即4000个数据,瞬时性非常好。
假设我们要求的心律是x,那么心率计算的数学公式如下(R波指的是大小为4000的缓冲区里面,心跳波动的波峰数):
x / (60*1000) = (R波个数 - 1) / (最后一个R波位置 - 第一个R波位置) 求出x
x = (60*1000) * (R波个数 - 1) / (最后一个R波位置 - 第一个R波位置) 这个数学公式中
(最后一个R波位置-第一个R波位置) 得到的是最后一个R波和第一个R波之间隔了多少个数据,采样率1000的话,这个值其实就是隔了多少个毫秒。
(R波个数 - 1) 得到的是在这么多个毫秒内,经历多少个心跳周期。
先进先出队列的实现比较简单,我用的是最多为4000个WORD型数据的一个队列,如果数据达到4000,在添加数据的时候,就要把最早的一个数据挤出去了。
但是R波检测算法却并不完美,有时候会漏检,比如缓冲区里有5个R波,却只检出4个,这个时侯算出来的心律就偏低,不准确了。
我想到解决这个问题的方法,就是叫做“双线竞争法”,因为心电图机共15条导联线,通常的做法是用其中信号最强的一条胸导来计算心率。
为了解决R波漏检导致的心律有误的问题,可以用两个缓冲区,分别取两条胸导的数据,各自计算心律,然后采用两个心律值中较大的一个。
信号最强的导联--胸导。
血氧分析的计算公式
血氧分析的计算公式血氧分析是一种重要的医学检测方法,用于评估人体血液中的氧气含量。
血氧分析可以帮助医生判断患者是否缺氧,是一种常见的临床检测手段。
在进行血氧分析时,医生通常会采集患者的血液样本,并通过一系列的计算公式来得出血氧饱和度等指标。
本文将介绍血氧分析的计算公式及其应用。
血氧分析的计算公式主要包括血氧饱和度(SaO2)、动脉血氧分压(PaO2)、氧分压(PO2)等指标的计算。
下面将分别介绍这些指标的计算公式及其应用。
1. 血氧饱和度(SaO2)的计算公式为:SaO2 = (氧合血红蛋白的浓度 / 总血红蛋白的浓度) × 100%。
其中,氧合血红蛋白的浓度可以通过测定血液样本中的氧合血红蛋白的含量来得出,总血红蛋白的浓度可以通过测定血液样本中的总血红蛋白的含量来得出。
血氧饱和度是血液中氧合血红蛋白的百分比,是评估人体氧气供应情况的重要指标。
通常情况下,正常人的血氧饱和度在95%以上。
2. 动脉血氧分压(PaO2)的计算公式为:PaO2 = (氧分压 / 氧合血红蛋白的溶解度) × 100%。
其中,氧分压可以通过血气分析仪来测定,氧合血红蛋白的溶解度是一个常数,通常为0.0031 mmHg/单位浓度。
动脉血氧分压是评估人体氧气供应情况的重要指标,通常情况下,正常人的动脉血氧分压在80-100 mmHg之间。
3. 氧分压(PO2)的计算公式为:PO2 = (氧气分压 / 氧气的分压) × 100%。
其中,氧气分压可以通过血气分析仪来测定,氧气的分压是一个常数,通常为159 mmHg。
氧分压是评估人体氧气供应情况的重要指标,通常情况下,正常人的氧分压在80-100 mmHg之间。
血氧分析的计算公式可以帮助医生评估患者的氧气供应情况,及时发现缺氧等问题。
通过对血氧饱和度、动脉血氧分压、氧分压等指标的测定和分析,医生可以及时采取相应的治疗措施,保障患者的生命健康。
除了用于临床诊断和治疗,血氧分析的计算公式还可以应用于科研领域。
各心率区间计算公式
各心率区间计算公式心率是指单位时间内心脏跳动的次数,通常以每分钟的心跳次数来衡量。
心率的高低可以反映出身体的运动状态和健康状况。
在运动中,我们常常会根据自己的心率来调整运动强度,以达到最佳的运动效果。
而不同的心率区间对应着不同的运动效果,因此了解各心率区间的计算公式对于运动者来说是非常重要的。
一、静息心率区间计算公式。
静息心率是指在安静状态下,不进行任何运动时的心率。
通常来说,成年人的静息心率在60-100次/分钟之间。
静息心率的计算公式如下:静息心率 = 在安静状态下测得的心率。
二、热身心率区间计算公式。
热身心率是指在开始运动前进行热身时的心率。
热身可以帮助身体逐渐适应运动的强度,减少运动中的受伤风险。
热身心率的计算公式如下:热身心率 = (220 年龄) 0.6。
三、有氧运动心率区间计算公式。
有氧运动是指持续性的中低强度运动,如慢跑、游泳等。
有氧运动可以提高心肺功能,促进脂肪燃烧,对身体健康非常有益。
有氧运动心率的计算公式如下:有氧运动心率 = (220 年龄) 0.6~0.8。
四、无氧运动心率区间计算公式。
无氧运动是指高强度、短时间的运动,如举重、蛙跳等。
无氧运动可以增强肌肉力量和爆发力,但对心肺功能的提升作用较小。
无氧运动心率的计算公式如下:无氧运动心率 = (220 年龄) 0.8~0.9。
五、恢复心率区间计算公式。
恢复心率是指在运动结束后,身体逐渐恢复到静息状态下的心率。
恢复心率的快慢可以反映出身体的耐力和恢复能力。
恢复心率的计算公式如下:恢复心率 = 运动结束后的心率 5分钟后的心率。
六、最大心率区间计算公式。
最大心率是指一个人在最大运动强度下所能达到的心率。
通常来说,最大心率可以通过年龄来估算。
最大心率的计算公式如下:最大心率 = 220 年龄。
以上就是各心率区间的计算公式,通过这些公式我们可以更加科学地调整自己的运动强度,达到更好的运动效果。
在运动过程中,合理控制心率可以有效地避免运动中的意外情况发生,同时也可以更好地促进身体的健康和发展。
PPG测量心率和血氧的方法——原理版
PPG测量心率和血氧的方法——原理版PPG(Photoplethysmography)是一种非侵入式的生物信号检测技术,可用于测量心率和血氧水平。
本文将介绍PPG测量心率和血氧的方法的原理。
PPG基本原理:PPG利用激光或LED光源透过皮肤照射到血管组织,光线经过组织反射回光传感器。
被测血管组织容纳了心跳引起的血液容积变化,这些变化导致了光线吸收和反射特性的变化。
PPG信号随着血液容积的变化而呈现周期性的波形,可以通过测量这些波形的特征来计算心率和血氧水平。
心率是每分钟心脏收缩的次数,PPG通过测量心脏收缩引起的血管组织血液容积的变化来估计心率。
1.基准线校准:在开始测量之前,需要将PPG信号的基线调整到适当的水平。
通常会有一个不透光或非发光的器件放置在PPG传感器上,在此过程中记录下基准线。
2.滤波处理:为了去除来自运动和环境干扰对PPG信号的影响,需要对信号进行滤波处理。
常见的滤波方法有低通滤波和高通滤波。
3.心跳峰值检测:通过寻找PPG信号中的峰值,可以确定心脏收缩的时间点。
峰值检测可以通过寻找信号峰值处的局部最大值来实现。
4.心率计算:根据心跳峰值的时间间隔,可以计算心率。
心率的计算可以根据以下公式进行:心率=60/平均心跳间隔。
血氧水平是指血液中氧气的饱和度,PPG可以通过测量血管组织中的血液脉动来估计血氧水平。
1.基准线校准:与测量心率时类似,需要对PPG信号进行基准线校准。
2.滤波处理:同样地,需要对信号进行滤波处理以去除噪声和干扰。
3.血氧估计:血氧水平的估计通常通过计算PPG信号中的脉动变化来完成。
脉动变化可以通过计算平均值、标准差或功率谱等统计特征来获得。
4.血氧饱和度计算:根据脉动变化,可以使用经验公式或查表法来计算血氧饱和度。
需要注意的是,PPG测量心率和血氧的方法虽然便捷和非侵入性,但其精度可能受到多种因素的影响,如运动、环境条件以及个体差异等。
因此,在实际应用中,需要根据具体情况对PPG信号进行合适的处理和校正,以提高测量的准确性和可靠性。
睡眠环境调节系统的血氧饱和度与心率信号采集环节研制
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PPG测量心率和血氧的方法——原理版
PPG测量心率和血氧的方法——原理版PPG(Photoplethysmography)是一种通过检测光线在组织中的吸收和散射来测量心率和血氧的非侵入性技术。
它使用一个光源和一个光接收器来测量光线的吸收差异,并通过分析这些差异来推断心率和血氧水平。
PPG原理涉及到许多物理和生理参数,其中包括光吸收、散射、脉搏波产生和传播等。
首先,PPG技术使用一种红外光源照射到皮肤表面。
红外光能够穿透到皮肤的一定深度并被组织吸收。
这些组织包括皮肤、血管、肌肉等。
当光源照射到皮肤表面,一部分光线被组织吸收,一部分光线会穿过组织并被光接收器接收。
当血液中的红细胞通过照射区域时,它们会吸收不同波长的光线。
作为共振现象的一种,红细胞会吸收红外光并反射绿光。
这种吸收和反射的光线会被光接收器检测到。
在一个完整的心脏周期中,心率相关的脉冲信号会不断重复。
通过分析这些脉冲信号的频率和幅度变化,可以确定心率。
此外,PPG技术也可以用于血氧测量。
血氧饱和度是血液中氧气的浓度,是指血液中氧合血红蛋白的百分比。
当红细胞中的血红蛋白与氧结合时,会吸收不同波长的光线,从而影响到光接收器记录的光强度。
传统的PPG技术使用两种波长的光线,通常是红光和红外光。
红光对血氧的吸收较小,而红外光对血氧的吸收较大。
通过测量红光和红外光的吸收差异,可以计算出血氧饱和度。
总结一下,PPG技术通过光的吸收和散射差异来测量心率和血氧。
检测器记录到的光强度的变化与心脏的收缩和血液的流动有关,从而可以推断出心率。
同时,通过测量不同波长光线的吸收差异,可以计算出血氧饱和度。
PPG技术具有非侵入性、便携性和低成本等优点,在医疗领域和健康监测设备中得到广泛应用。
血氧仪算法
血氧仪算法血氧仪算法是指用于测量和计算血氧饱和度的算法。
血氧饱和度是指在血液中携带氧气的红细胞与总红细胞数量的比例,通常以百分比表示。
血氧仪算法的主要目的是通过对红外光和红光的吸收情况进行分析,从而准确地计算出血氧饱和度。
血氧仪算法的基本原理是光吸收法。
血氧仪通常会发射一束红外光和一束红光通过皮肤照射到血液中,然后通过光电二极管接收经过组织和血液的反射光。
由于血红蛋白对不同波长的光的吸收特性不同,因此通过测量反射光的强度,就可以得到血氧饱和度的估计值。
在血氧仪算法中,首先需要对反射光的强度进行校正,以消除外界干扰因素的影响。
校正包括环境光的去除、皮肤色素的补偿等操作。
接下来,算法会对红外光和红光的吸收情况进行分析,计算出血红蛋白的浓度和氧合血红蛋白与脱氧血红蛋白的比例。
最后,根据这些数据,就可以计算出血氧饱和度的值。
为了提高血氧饱和度的准确性,血氧仪算法通常会采用多种数据处理技术。
例如,可以对光信号进行滤波处理,以减少噪声的影响。
同时,还可以利用机器学习算法,通过训练模型来提高血氧饱和度的预测能力。
此外,血氧仪算法还需要考虑不同人群的生理特征差异,以便在不同情况下获得准确的测量结果。
在实际应用中,血氧仪算法被广泛用于医疗领域。
例如,在手术过程中,医生可以通过监测患者的血氧饱和度来评估其健康状况和手术风险。
此外,血氧仪算法还可以用于睡眠监测、运动健康管理等领域。
通过跟踪血氧饱和度的变化,可以及时发现身体健康问题,并采取相应的措施。
血氧仪算法是一种基于光吸收法的计算方法,用于测量和计算血氧饱和度。
通过对红外光和红光的吸收情况进行分析,可以得到血氧饱和度的估计值。
为了提高测量的准确性,血氧仪算法采用了多种数据处理技术,并考虑了不同人群的生理特征差异。
在医疗和健康管理领域,血氧仪算法具有重要的应用价值,可以帮助人们及时了解自己的健康状况,采取相应的措施。
血氧饱和度信号采集功能
昆明理工大学信息工程与自动化学院学生实验报告( 2016 —2017 学年第一学期)课程名称:医用传感器开课实验室:信自104实验日期:2016-12-30一、实验原理(一)实验原理1、血氧测量原理氧是维系人类生命的基础,心脏的收缩和舒张使得人体的血液脉动地流过肺部,一定量的还原血红蛋白(HbR)与肺部中摄取的氧气结合成氧和血红蛋白(HbO2),另有约2%的氧溶解在血浆里。
这些血液通过动脉一直输送到毛细血管,然后在毛细血管中将氧释放,以维持组织细胞的新陈代谢。
血氧饱和度 (SO2)是血液中被氧结合的氧合血红蛋白(HbO2)的容量占全部可结合的血红蛋白(Hb)容量的百分比,即血液中血氧的浓度,它是呼吸循环的重要生理参数。
而功能性氧饱和度为HbO2浓度与HbO2 Hb浓度之比,有别于氧合血红蛋白所占百分数。
因此,监测动脉血氧饱和度(SaO2)可以对肺的氧合和血红蛋白携氧能力进行估计。
血氧饱和度是衡量人体血液携带氧的能力的重要参数。
血氧饱和度的测量目前广泛应用有透射法(或反射法)、双波长(红光R:660nm和红外光IR:940nm)光电检测技术,检测红光和红外光通过动脉血的光吸收引起的交变成分之比IIR/IR和非脉动组织(表皮、肌肉、静脉血等)引起光吸收的稳定分量(直流)值,通过计算可得到血氧饱和度值SPO2,这里采用透射法双波长光电检测技术。
由于光电信号的脉动规律与心脏搏动的规律一致,所以根据检出信号的周期可同时确定脉率,因而亦称该方法为脉搏血氧饱和度测量。
这种测量方法用指套式血氧饱和度传感器测量红光(660nm)和红外光(940nm)波长光强度经过手指后的变化,计算其中的脉动量与直流量后,查表可以计算出血氧饱和度值。
2、光源切换实验采用双波长透射光电检测方法来测量血氧饱和度,所以必须使无光、660nm的红光和940nm的红外光交替产生并采集得到各不同光时段的信号,通过减去无光时光电信号可以去除环境光的影响,并得到红光与红外光去除环境光影响后通过动脉血的光吸收引起的交变成分之比。
血氧饱和度的计算方法实例
血氧饱和度的计算方法实例血氧饱和度是衡量人体氧合水平的重要指标,它反映了血液中氧气的含量。
血氧饱和度的计算方法主要依赖于血氧饱和度仪器,常见的有脉搏血氧饱和度仪和动脉血氧饱和度仪。
本文将以动脉血氧饱和度仪为例,介绍血氧饱和度的计算方法和相关注意事项。
动脉血氧饱和度仪是一种可以通过光学原理测量出血液中氧气饱和度的仪器。
它通过红外光和红光的吸收差异来计算出血氧饱和度的值。
具体的计算方法如下:1. 将动脉血氧饱和度仪的传感器插入患者的动脉血管中,通常选择患者手指上的掌侧动脉,也可以选择耳垂或足趾等部位。
2. 仪器会向患者的血流中发射红外光和红光。
3. 红外光和红光在经过血液的时候会被不同程度地吸收。
红外光主要被血红蛋白吸收,而红光则被血红蛋白和氧气共同吸收。
4. 通过测量红外光和红光的吸收差异,仪器可以计算出血液中氧气的含量,并进而得到血氧饱和度的数值。
需要注意的是,血氧饱和度的计算结果受到一些因素的影响,包括但不限于:1. 血液循环状态:血氧饱和度的计算依赖于血液循环,如果患者的血液循环不良,如休克或低血压等情况,计算结果可能不准确。
2. 体温:体温的变化会影响血液中氧气的释放和吸收过程,因此在测量血氧饱和度时,需要控制好患者的体温。
3. 患者活动状态:患者的活动状态也会对血氧饱和度产生影响,如运动时血氧饱和度会下降。
4. 仪器的准确性:不同仪器的准确性可能存在差异,因此在使用血氧饱和度仪时需要选择质量可靠的产品,并严格按照使用说明进行操作。
血氧饱和度的计算方法主要依赖于动脉血氧饱和度仪,通过测量红外光和红光的吸收差异来计算血液中氧气的含量,并得到血氧饱和度的数值。
在进行血氧饱和度测量时,需要注意患者的血液循环状态、体温、活动状态等因素,并选择准确可靠的仪器进行操作。
血氧饱和度的监测对于评估患者的氧合水平和疾病状况具有重要意义,可以帮助医务人员及时判断和采取相应的治疗措施,提高医疗质量和效率。
心电心率计算
《生物医学传感器与测量》课程项目实施报告目录一、项目方案介绍二、项目的原理与方法三、项目的实施过程四、项目的结果分析五、项目的结论与讨论一、项目方案简介心率是人体中的一个非常重要的生命指标,心率的正确采集有助于分析人体的生理状况。
现在有很多用于检测心率的仪器,常见的有基于压力传感器、光电传感器、电容传感器等的测试装置。
本项目中,我们使用心电电极采集心率,再借助biopac这个平台自己设计程序,运用课堂上所过的知识,对采集到的心率进行分析。
通过biopac对心电进行采集,然后用matlab编辑程序,对采集到的心电进行分析处理,以此找到心电图中的波峰,获得被采集者的心跳周期。
在实验方案中,采用了对照的形式,即采取两组心电图数据,一组为静态时的心电图,另一组为运动后的心电图,将两者进行比较分析。
二、项目的原理与方法主要原理及测量基础:心脏的节律性的跳动是由心肌细胞节律性收缩产生的,而这种有规律的收缩又是生物电信号在心肌纤维传播的结果。
心肌纤维由大量心肌细胞组成,细胞兴奋以及兴奋传导系统向整个心脏传布。
心肌细胞除极和复极过程电活动可以扩布到全身各处,不仅可以从心脏本身测出电信号,还可以由体表用电极测量。
而在体表某处测量的心电图是心电向量在该方向的投影,在体表各点的电位分布是不同的。
任意两点间的心电电位差的周期性曲线,称为心电图(ECG)。
心电图反映心脏兴奋的产生、传导和恢复过程中的生物电变化。
心肌细胞膜是半透膜,在静息状态时,膜外排列一定数量带正电荷的阳离子,膜内排列相同数量带负电荷的阴离子,所以膜外电位高于膜内,心肌细胞都处于极化状态,没有电位差,电流记录仪描记的电位曲线平直,即为体表心电图的等电位线。
当心肌细胞受到一定强度的刺激时,细胞膜通透性发生改变,大量阳离子短时间内涌入膜内,使膜内电位由负变正,电流记录仪描记的电位曲线称为除极波,即体表心电图上心房P 波和心室的QRS波。
细胞除极完成后,细胞膜又排出大量阳离子,使膜内电位由正变负,恢复到原来的极化状态,此过程由心外膜向心内膜进行。
血氧仪的使用说明
血氧仪的使用说明血氧仪是一种医疗设备,用于测量人体的血氧饱和度和心率,广泛应用于医院、家庭以及体育健身场所。
本文将详细介绍血氧仪的使用说明。
一、血氧仪的工作原理和功能血氧仪通过红外光和红光的不同吸收程度来测量血红蛋白的饱和度,并通过心电图电极测量心率。
在测量过程中,指头或耳朵内部放置传感器,光通过皮肤组织照射到血红蛋白上,检测红光和红外光的反射情况,计算出血氧饱和度和心率数值。
血氧仪的功能包括:1.测量血氧饱和度:血氧饱和度表示血液中氧气的含量,是一个重要的生理指标,正常成年人的血氧饱和度通常在95%以上。
2.测量心率:心率是指心脏每分钟跳动的次数,也是健康的重要指标,正常成年人的心率范围通常在60-100次/分钟。
二、使用血氧仪的步骤和注意事项1.准备工作:确保血氧仪已正确安装电池,并检查仪器的操作面板和传感器是否清洁。
检查指头或耳朵是否干燥,没有污垢或异物。
2.开机并操作:按下仪器上的开关按钮,屏幕将显示相关信息。
并根据仪器的操作说明,选择相应的按钮设置测量参数,如单位、报警阈值等。
3.安装传感器:根据仪器的说明,将传感器正确安装到指头或耳朵上,保持稳定。
确保传感器与皮肤充分接触,无明显松动。
4.开始测量:当仪器上显示出稳定的信号后,可以轻轻按下指令按钮开始测量。
测量过程中保持安静,不要有突然的运动或呼吸变化。
5.等待测量结果:血氧仪将自动测量血氧饱和度和心率,并在屏幕上显示结果。
等待数秒钟,直到数值稳定,然后记录数据。
***注意:***1.在使用血氧仪前,清洁仪器表面和传感器以确保准确性和卫生性。
2.保持身体状态平稳,不要突然改变体位或呼吸模式,以免影响测量结果。
3.在测量时保持放松和安静的状态,不要说话或活动。
4.如果需要连续测量,根据具体仪器的要求进行操作,并在测量结束后适当休息一段时间。
三、保养和存储1.定期清洁:根据仪器的说明,定期清洁仪器的表面和传感器,以保持准确性和卫生性。
2.避免放置在潮湿或高温的环境中,以防损坏设备。
8血氧饱和度和心输出量的无创测量(mm)
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A1 ln( I ( DC AC )1 I DC ) O1 CHbO1 r1 CHb K A2 ln( I ( DC AC )2 I DC ) O2 CHbO2 r2 CHb
第8章 血氧饱和度和心输出量的无创测量
8.1 血氧饱和度的无创测量方法
氧是维护生命的基础,动脉血氧饱和度 是反映动脉血含氧程度的重要参数。人 体内的血液通过心脏的收缩和舒张脉动 地流过肺部,一定量的还原血红蛋白(Hb) 与从肺泡中摄取的氧气结合变成了氧合 血红蛋白(HbO2),而约2%的氧溶解在 血浆里。这些血通过动脉系统一直输送 到毛细血管,然后将氧释放,以维持组 织细胞的新陈代谢。
四电极法测量阻抗示意图
通常有 Z0 Z
2 Z0 Z S Z0 Z Z0 Z Z0 Z0 Z S Z0 Z S
2 Z 0 Z 0 Z Z 02 ZS Z Z
又知血液的阻抗 ZS L S 设 V 为每搏输出量 V LS
ZS L2 V
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漫话血氧饱和度和脉率
漫话血氧饱和度和脉率胡经国一、血氧饱和度1、定义血氧饱和度(SaO2),是指血红蛋白被氧饱和的百分比,即血红蛋白的氧含量与氧结合量之比乘以100。
人体的新陈代谢过程是生物氧化过程;而新陈代谢过程中所需要的氧,则是通过呼吸系统进入人体血液,与血液红细胞中的血红蛋白(Hb),结合成氧合血红蛋白(HbO2),再输送到人体各部分组织细胞中去。
2、测量方法⑴、重要性多临床疾病会造成氧供给的缺乏,这将直接地影响细胞的正常新陈代谢,严重的还会威胁人的生命。
所以,动脉血氧浓度的实时监测在临床救护中非常重要。
⑵、方法①、传统方法传统的血氧饱和度测量方法是先进行人体采血,再利用血气分析仪进行电化学分析,测出血氧分压PO2计算出血氧饱和度。
这种方法比较麻烦,而且不能进行连续的监测。
②、指套式光电传感器目前的测量方法是采用指套式光电传感器。
当测量时,只需将传感器套在人手指上,利用手指作为盛装血红蛋白的透明容器,使用波长660 nm的红光和940 nm的近红外光作为射入光源,测定通过组织床的光传导强度,来计算血红蛋白浓度及血氧饱和度。
该仪器可以及时显示人体血氧饱和度,为临床提供了一种连续无损伤的血氧测量仪器,如W011指夹式脉搏血氧仪。
3、数值和意义一般认为,SpO2正常应不低于94%,在94%以下为供氧不足。
有学者将SpO2<90%定为低氧血症的标准;并且认为当SpO2高于70%时准确性可达±2%,而SpO2低于70%时则可有误差。
在临床上,曾经对数例病人的SpO2数值,与动脉血氧饱和度数值进行过对照,认为SpO2读数可反映病人的呼吸功能,并且在一定程度上反映动脉血氧的变化。
在胸外科手术以后,病人除了个别病例临床症状与数值不符需要作血气分析以外,常规应用脉搏血氧饱和度监测,可为临床观察病情变化提供有意义的指标,避免了病人反复采血,也减少了护士的工作量,值得推广。
临床一般大于90%就可以了,当然要针对不同的科室。
血氧检测算法
血氧检测算法
血氧检测算法是一种用于测量人体血氧饱和度的技术。
该算法通过光学传感器和信号处理技术来检测血液中的氧气含量。
光学传感器通常放置在手指或耳垂等部位,通过红外线和可见光的光谱来测量血氧饱和度。
血氧检测算法的核心是信号处理技术。
这种算法将光学传感器获得的原始数据转换为数字信号,并使用滤波、峰值检测等技术来提取血氧饱和度信号。
其基本原理是通过测量红光和红外线在血液中的吸收程度来计算血氧饱和度。
红光能够被血红蛋白和氧合血红蛋白吸收,而红外线只能被血红蛋白吸收。
因此,通过比较红光和红外线被吸收的程度,可以计算出血氧饱和度。
血氧检测算法在临床上广泛应用,例如在手术中、心脏病诊断和慢性呼吸道疾病治疗中。
虽然该算法已经取得了很大的进展,但仍然存在一些挑战,例如光线干扰、运动伪像等。
因此,未来的研究将继续优化算法并探索新的检测方法,以提高血氧检测的精度和可靠性。
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Getting Started Guide TIDA-00301 1 Miniaturized Pulse Oximeter Reference DesignHealthTechABSTRACT The scope of this document is to provide a miniaturized pulse oximeter reference design for high end clinical application. This reference design features AFE4403, TI’s high performance Analog Front End for pulse oximeters, an ultra-low power microcontroller and a highly optimizedintegrated dual light emitting diodes (LED) and photodiode optical sensor. This reference design simplifies and accelerates the pulse oximeter system design while still ensuring the highestquality clinical measurements.Document History VersionDate Author Notes 1.0June 2014 Praveen Aroul First releaseTIDA-003012Contents1Design Summary (4)1.1Design Goal (4)1.2Top Level Architecture (4)2Theory of operation (4)3Circuit Description (8)4Hardware Overview (8)4.1AFE4403 Overview (9)4.1.1Receiver Front end (9)4.1.2Transmit Section (11)4.1.3Clocking and Timing Signal Generation (12)4.1.4Diagnostic mode (14)4.2Optical Sensor (14)4.3Microcontroller (15)5Miniaturized SpO2 reference design Modules (15)5.1DCM03–AFE4403 module pin-outs (16)5.2DCM03–AFE4403–MCU module pin-outs (17)6Verification and Measured Performance (19)6.1Testing conditions (19)6.2Estimation of SpO2 percentage (20)Appendix A. Design Resources (21)Appendix B. Acronyms (22)Appendix C. References (23)FiguresFigure 1: Top Level Architecture(1) (4)Figure 2: Oxygenated versus de-oxygenated blood light absorption of IR and Red (5)Figure 3: Variations in light attenuation by tissue illustrating the rhythmic effect of arterial pulsation (6)Figure 4: Normalization of R and IR wavelengths to remove the effects of variation in the incident light intensity or detector sensitivity (7)Figure 5: Empirical relationship between arterial SaO2 and normalized (R/IR) ratio (8)Figure 6: Functional Block Diagram of AFE4403 (9)Figure 7: TIA block diagram of AFE4403 (10)Figure 8: LED Transmit – H-Bridge Drive (13)Figure 9: LED Transmit – Push-Pull LED Drive (14)Figure 10: DCM03 Optical sensor (15)Figure 11: DCM03-AFE4403 reference module (15)Figure 12: DCM03-AFE4403-MCU reference module (16)Figure 13: Pin positions on the DCM03-AFE4403 module (17)Figure 14: Pin positions on the DCM03-AFE4403-MCU module (18)Figure 15: PPG waveform from the DCM03-AFE4403 reference module (19)TIDA-003013TablesDocument History (1)DCM03-AFE4403 module pin-outs (16)DCM03-AFE4403-MCU module pin-outs (17)TIDA-0030141 Design SummaryTI Reference Designs are mixed-signal solutions created by TI’s experts. Verified designs offer the theory, complete PCB schematic & layout, bill of materials and measured performance of the overall system.1.1 Design GoalThe goal is to provide reference design for building a miniaturized pulse oximeter system.1.2 Top Level ArchitectureThe block diagram shown in Figure 1 gives a top level architecture of the reference design. There are two variations of the reference design modules. The first reference design contains the LED and photodiode optical sensor and the Analog Front End (AFE). The second reference design contains the LED and photodiode optical sensor, Analog Front End (AFE) and the MCU.Figure 1: Top Level Architecture (1)(1)Note: The second reference design contains the MSP430 device.2 Theory of operationThe principle of pulse oximetry revolves around the fact that the arterial component of blood is pulsatile in nature (time varying). So when a LED light is made incident on the human body (for example at a finger), the amount of light that passes through after the attenuation from various components like tissue, artery and veins also has a pulsatile component riding over a constant component. The aim of pulse oximetry is to measure the percentage of oxygenated hemoglobin (HbO 2) to the total hemoglobin (Hb) (oxygenated plus deoxygenated) in the arterial blood – this is referred to as SpO 2. Oxygenated hemoglobin in the blood is distinctively red, whereas deoxygenated hemoglobin in the blood has a characteristic dark blue coloration. The opticalproperty of blood in the visible (i.e. between 400 and 700nm) and near-infrared (i.e. between 700 and 1000nm) spectral regions depends strongly on the amount of O 2 carried by blood.TIDA-003015The method exploits the fact that Hb has a higher optical absorption coefficient in the red region of the spectrum around 660nm compared with HbO 2, as illustrated in Figure 2. On the other hand, in the near-infrared region of the spectrum around 940nm, the optical absorption by Hb is lower compared to HbO 2.At the isobestic wavelength (i.e. 805nm), where the two curves cross over, the absorbance of light is independent of oxygenation level.Figure 3: Oxygenated versus de-oxygenated blood light absorption of IR and Red By doing light measurements at two wavelengths (usually Red and IR) that have dissimilar absorption coefficients to oxygenated and deoxygenated hemoglobin, all the constant components can be cancelled out and the SpO 2 can be calculated in a ratiometric manner. The optical system for SPO2 measurement consists of LEDs that shine the light and aphotodiode that receives the light. There are two types of optical arrangements – transmissive and reflective. In the transmissive case, the photodiode and the LED are placed on opposite sides of the human body part (most commonly the finger), with the photodiode collecting the residual light after absorption from the various components of the body part. In the reflective case, the photodiode and the LED are on the same side and the photodiode collects the light reflected from various depths underneath the skin. Both variations of this reference design is based on the reflective case.The photodiode converts the incident light into an electrical signal proportional to the intensity of the light and the AFE44xx signal chain can be used to condition the signal and digitize it. The signal is referred to as the Photoplethysmogram (PPG) signal and contains the periodicity of the pulse rate. SpO 2 measurements involve using two wavelengths – most commonly Red and IR. The AFE44xx family of devices therefore supports independent control over 2 LEDs.As shown in Figure 3, the magnitude of the PPG signal depends on the amount of blood ejected from the heart with each systolic cycle, the optical absorption of blood, absorption by skin and various tissue components, and the specific wavelengths used to illuminate the vascular tissuebed.TIDA-003016During systole, when the arterial pulsation is at its peak, the volume of blood in the tissueincreases. This additional blood absorbs more light, thus reducing the light intensity which is either transmitted or backscattered.During diastole, less blood is present in the vascular bed, thus increasing the amount of light transmitted or backscattered.The pulsatile part of the PPG signal is considered as the “AC” component, and the non- pulsatile part, resulting mainly from the venous blood, skin and tissue, is referred to as the “DC”component. A deviation in the LED brightness or detector sensitivity can change the intensity of the light detected by the sensor. This dependence on transmitted or backscattered light intensity can be compensated by using a normalization technique where the AC component is divided by the DC component, as given in the equation (1) below:R IR=⎝⎜⎛AC R DC R AC IR DC IR�⎠⎟⎞(1)Thus, the time invariant absorbance due to venous blood or surrounding tissues does not have any effect on the measurement. This normalization is carried out for both the red (R) and the infrared (IR) wavelengths, as shown in Figure 4. The normalized R/IR “ratio of ratios” can then be related empirically to SpO2, as shown in Figure 5. When the ratio is 1, the SpO2 value is about 85%.Figure 4: Variations in light attenuation by tissue illustrating the rhythmic effect of arterialpulsationTIDA-003017Figure 5: Normalization of R and IR wavelengths to remove the effects of variation in theincident light intensity or detector sensitivityMost pulse oximeters measure absorbance at two different wavelengths and are calibrated using data collected from CO-oximeters by empirically looking up a value for SpO 2, giving an estimation of SaO 2 using the empirical relationship given by the Equation (2)SaO 2% = A − B ∙ (R /IR ) (2)where R /IR is based on a normalization where the pulsatile (AC) component is divided by the corresponding non-pulsatile (DC) component for each wavelength, and A and B are linear regression coefficients which are related to the specific absorptions coefficients of Hb and HbO 2. The constants A and B are derived empirically during in-vivo calibration by correlating the ratio calculated by the pulse oximeter against SaO 2 from arterial blood samples by an in vitro oximeter for a large group of subjects. Pulse oximeters read the SaO 2 of the blood accurately enough for clinical use under normal circumstances because they use a calibration curve based on empirical data shown in Figure 5.TIDA-003018Figure 6: Empirical relationship between arterial SaO2 and normalized (R/IR) ratio3 Circuit DescriptionPulse oximeters measure arterial blood oxygen saturation by sensing absorption properties of deoxygenated and oxygenated hemoglobin using various wavelengths of light. A basic meter is comprised of a sensing probe attached to a patient's earlobe, toe, finger or other body locations, depending upon the sensing method (reflection or transmission), and a data acquisition system for the calculation and eventually display of oxygen saturation level, heart rate and/or blood flow.This reference design discusses the methodology to build a miniaturized pulse oximeter system.The design employs reflectance mode photoplethysmography (PPG).High Performance pulse oximetry measurements are achieved by using the AFE4403, a fully Integrated Analog Front End that consists of a low noise receiver channel with an integratedanalog-to-Digital converter, an LED transmit section, diagnostics for sensor and LED faultdetection. Additional components include:•Ultra-low power microcontroller (MCU)•LED and photodiode optical sensor4 Hardware OverviewThe following section describes the reference design by providing detailed information about the Analog Front End and the additional components that complete this reference design.TIDA-0030194.1 AFE4403 OverviewThe AFE4403 is a complete analog front-end (AFE) solution targeted for pulse oximeterapplications. The device consists of a low-noise receiver channel, an LED transmit section, and diagnostics for sensor and LED fault detection. To ease clocking requirements and provide the low-jitter clock to the AFE, an oscillator is also integrated that functions from an external crystal. The device communicates to an external microcontroller or host processor using an SPIinterface. Figure 6 provides a detailed block diagram for the AFE4403. The blocks are described in more detail in the following section.Figure 7: Functional Block Diagram of AFE44034.1.1 Receiver Front endThe device is ideally suited as a front-end for a PPG (photoplethysmography) application. In such an application, the light from the LED is reflected (or transmitted) from (or through) the various components inside the body (such as blood, tissue, and so forth) and are received by the photodiode. The signal received by the photodiode has three distinct components:1. A pulsatile or AC component that arises as a result of the changes in blood volume through the arteries.2. A constant DC signal that is reflected or transmitted from the time invariant components in the path of light. This constant DC component is referred to as the pleth signal.3.Ambient light entering the photodiode.TIDA-0030110The AC component is usually a small fraction of the pleth component, with the ratio referred to as the perfusion index (PI). Thus, the allowed signal chain gain is usually determined by the amplitude of the DC component.The receiver consists of a differential current-to-voltage (I-V) transimpedance amplifier (TIA) that converts the input photodiode current into an appropriate voltage. The feedback resistor of the amplifier (Rf) is programmable to support a wide range of photodiode currents. Available RF values include: 1 MΩ, 500 kΩ, 250 kΩ, 100 kΩ, 50 kΩ, 25 kΩ, and 10 kΩ.The model of the photodiode and the connection to the TIA is shown below:Figure 8: TIA block diagram of AFE4403I in is the signal current generated by the photodiode in response to the incident light and C in is the zero bias capacitance of the photodiode.The current to voltage gain in the TIA is given by:V TIA(diff)=V TIA+−V TIA−= 2∗I in∗R f(3) For example, for a photodiode current of I in= 1 μA and a TIA gain setting of R f = 100 kΩ, the differential output of the TIA is equal to 200 mV. The TIA has an operating range of ±1 V, and the ADC has an input full-scale range of ±1.2 V (the extra margin is to prevent the ADC from saturating while operating the TIA at the fullest output range). Furthermore, because the PPG signal is one-sided, only one half of the full-scale is used. TI recommends operating the device at a DC level that is not more than 50% to 60% of the ADC full-scale. The margin allows for sudden changes in the signal level that might saturate the signal chain if operating too close tofull-scale.The Rf amplifier and the feedback capacitor (Cf) form a low-pass filter for the input signalcurrent. Always ensure that the low-pass filter RC time constant has sufficiently high bandwidth (as shown by Equation 4 below) because the input current consists of pulses. For this reason, the feedback capacitor is also programmable. Available Cf values include: 5 pF, 10 pF, 25 pF,50 pF, 100 pF, and 250 pF. Any combination of these capacitors can also be used.R f∗C f≤Rx Sample Time10(4)The output voltage of the I-V amplifier includes the pleth component (the desired signal) and a component resulting from the ambient light leakage. The I-V amplifier is followed by the second stage, which consists of a current digital-to-analog converter (DAC) that sources the cancellation current and an amplifier that gains up the pleth component alone. The amplifier has fiveprogrammable gain settings: 0 dB, 3.5 dB, 6 dB, 9.5 dB, and 12 dB. The gained-up pleth signal is then low-pass filtered (500-Hz bandwidth) and buffered before driving a 22-bit ADC. Thecurrent DAC has a cancellation current range of 10 μA with 10 steps (1 μA each). The DACvalue can be digitally specified with the SPI interface. Using ambient compensation with theambient DAC allows the DC-biased signal to be centered to near mid-point of the amplifier (±0.9 V). Using the gain of the second stage allows for more of the available ADC dynamic range to be used.The output of the ambient cancellation amplifier is separated into LED2 and LED1 channels.When LED2 is on, the amplifier output is filtered and sampled on capacitor C LED2. Similarly, the LED1 signal is sampled on the C LED1 capacitor when LED1 is on. In between the LED2 andLED1 pulses, the idle amplifier output is sampled to estimate the ambient signal on capacitorsC LED2_amb and C LED1_amb.The sampling duration is termed the receiver (Rx) sample time and is programmable for each signal, independently. The sampling can start after the I-V amplifier output is stable (to account for LED and cable settling times). The Rx sample time is used for all dynamic range calculations;the minimum time recommended is 50 μs. While the AFE4403 can support pulse widths lower than 50 µs, having too low of a pulse width could result in a degraded signal and noise from the photodiode.A single 22-bit ADC converts the sampled LED2, LED1, and ambient signals sequentially. Eachconversion provides a single digital code at the ADC output. The conversions are meant to be staggered so that the LED2 conversion starts after the end of the LED2 sample phase, and so on.Note that four data streams are available at the ADC output (LED2, LED1, ambient LED2, and ambient LED1) at the same rate as the pulse repetition frequency. The ADC is followed by adigital ambient subtraction block that additionally outputs the (LED2 – ambient LED2) and (LED1 – ambient LED1) data values.4.1.2 Transmit SectionThe transmit section integrates the LED driver and the LED current control section with 8-bitresolution.The RED and IR LED reference currents can be independently set. The current source (ILED) locally regulates and ensures that the actual LED current tracks the specified reference. Thetransmitter section uses an internal 0.25-V reference voltage for operation. This referencevoltage is available on the TX_REF pin and must be decoupled to ground with a 2.2-μFcapacitor. The TX_REF voltage is derived from the TX_CTRL_SUP. The TX_REF voltage can be programmed from 0.25 V to 1 V. A lower TX_REF voltage allows a lower voltage to besupported on LED_DRV_SUP. However, the transmitter dynamic range falls in proportion to the voltage on TX_REF. Thus, a TX_REF setting of 0.5 V gives a 6-dB lower transmitter dynamic range as compared to a 1-V setting on TX_REF, and a 6-dB higher transmitter dynamic range as compared to a 0.25-V setting on TX_REF.Note that reducing the value of the band-gap reference capacitor on the BG pin reduces the time required for the device to wake-up and settle. However, this reduction in time is a trade-offbetween wake-up time and noise performance. For example, reducing the value of thecapacitors on the BG and TX_REF pins from 2.2 µF to 0.1µF reduces the wake-up time (from complete power-down) from 1 sec to 100 ms, but results in a few decibels of degradation in the transmitter dynamic range.The minimum LED_DRV_SUP voltage required for operation depends on:•Voltage drop across the LED (VLED),•Voltage drop across the external cable, connector, and any other component in series with the LED (V CABLE), and•Transmitter reference voltage.Two LED driver schemes are supported:•An H-bridge drive for a two-terminal back-to-back LED package. See Figure 8.• A push-pull drive for a three-terminal LED package. See Figure9.4.1.3 Clocking and Timing Signal GenerationThe crystal oscillator generates a master clock signal using an external crystal. In the defaultmode, a divide-by-2 block converts the 8-MHz clock to 4 MHz, which is used by the AFE tooperate the timer modules, ADC, and diagnostics. The 4-MHz clock is buffered and output from the AFE in order to clock an external microcontroller.To enable flexible clocking, the AFE4403 has a clock divider with programmable division ratios.While the default division ratio is divide-by-2, the clock divider can be programmed to selectbetween ratios of 1, 2, 4, 6, 8, or 12. The division ratio should be selected based on the external clock input frequency such that the divided clock has a frequency close to 4 MHz. Whenoperating with an external clock input, the divider is reset based on the RESET signal risingedge.The device supports both external clock mode as well as an internal clock mode with the external crystal. In the external clock mode, an external clock is input on the XIN pin and the device internally generates the internal clock (used by the timing engine and the ADC) by a programmable division ratio. After division, the internal clock should be within the range of 4 MHz to 6 MHz. In internal clock mode, an external crystal (connected between XIN and XOUT) is used to generate the clock.Figure 9: LED Transmit – H-Bridge DriveThe AFE4403 has a timer module that can program the various rising and falling timing edges for the 11 signals.The module uses a single 16-bit counter (running off of the 4-MHz clock) to set the time-base. All timing signals are set with reference to the pulse repetition period (PRP). Therefore, a dedicated compare register compares the 16-bit counter value with the reference value specified in the PRF register. Every time that the 16-bit counter value is equal to the reference value in the PRF register, the counter is reset to 0.For the timing signals, the start and stop edge positions are programmable with respect to the PRF period. Each signal uses a separate timer compare module that compares the counter value with preprogrammed reference values for the start and stop edges. All reference values can be set using the SPI interface. After the counter value has exceeded the stop reference value, the output signal is set. When the counter value equals the stop reference value, the output signal is reset.Figure 10: LED Transmit – Push-Pull LED Drive4.1.4 Diagnostic modeThe device includes diagnostics to detect open or short conditions of the LED and photosensor, LED current profile feedback, and cable on or off detection. The diagnostics module, whenenabled, checks for nine types of faults sequentially. The results of all faults are latched in 11 separate flags. The status of all flags can also be read using the SPI interface.4.2 Optical SensorTo measure the peripheral oxygen saturation, an optical sensor (DCM03) (see Figure 10) which has an integrated Red, IR LEDs and photodiode built in to a single module was used. Themodule has been developed by APMKorea [1]. The module works on the principle of reflective photometry. In reflectance photometry, the LEDs and photodiode are placed on the same plane as the human body part and the photodiode collects the light reflected from various depthsunderneath the skin. The sensor has been designed with optimum separation distance between the LEDs and the photodiode to achieve good quality photoplethysmogram signal.Figure 11: DCM03 Optical sensor4.3 MicrocontrollerIn this reference design (both variations), the microcontroller is used to configure the AFE4403 and process the AFE4403 information. The microcontroller MSP430F5528 is from the TexasInstruments MSP430 family of ultra-low power microcontrollers. The microcontroller architecture, combined with extensive low power modes, is optimized to achieve extended battery life inportable applications.5 Miniaturized SpO2 reference design ModulesThere are two variations of the SpO2 reference design modules. The first reference designcontains the LED and photodiode optical sensor, Analog Front End (AFE) for acquiring andconditioning the PPG signal. The second reference design contains the LED and photodiodesensor, Analog Front End (AFE) for acquiring and conditioning the PPG signal and the MCU for processing the information from the AFE.Figure 11 shows the first reference design module with the AFE and the optical sensor. Thereference design module is small and compact and has the following dimensions 0.393”(9.98mm) x 0.411” (10.44mm).Figure 12: DCM03-AFE4403 reference moduleFigure 12 shows the second reference design module with the AFE, MCU and the opticalsensor. The reference design module is small and compact and has the following dimensions0.609” (15.47mm) x 0.413” (10.49mm).Figure 13: DCM03-AFE4403-MCU reference module5.1 DCM03–AFE4403 module pin-outsThe table below shows the signal names on the DCM03- AFE4403 module pin-outs. Figure 13 shows the pin positions on the DCM03-AFE4403 module.DCM03-AFE4403 module pin-outsPin Number Signal Names1 AFE_VCC2 GND3 AFE_SPI_SOMI4 AFE_SPI_SIMO5 AFE_SPI_CLK6 AFE_DIAG_END7 AFE_XIN8 GND9 AFE_PDNZ10 AFE_ADC_RDY11 AFE_SPI_STE12 AFE_RESETZ13 LED_DRV_GND14 LED_DRV_SUPFigure 14: Pin positions on the DCM03-AFE4403 module5.2 DCM03–AFE4403–MCU module pin-outsThe table below shows the signal names on the DCM03- AFE4403-MCU module pin-outs.Figure 14 shows the pin positions on the DCM03-AFE4403-MCU module.DCM03-AFE4403-MCU module pin-outsPin Number Signal Names1 AFE_VCC2 GND3 No Connect (NC)4 No Connect5 No Connect6 EXT_SPI_STE7 EXT_SPI_SOMI8 EXT_SPI_SIMO9 EXT_SPI_CLK10 GND11 No Connect12 No Connect13 LED_DRV_GND14 LED_DRV_SUP15 JTAG_TDO16 JTAG_TMS17 JTAG_RST18 JTAG_TDI19 JTAG_TCK20 JTAG_TEST21 DVCC22 GNDFigure 15: Pin positions on the DCM03-AFE4403-MCU module6 Verification and Measured PerformanceThis section describes the measurement results of the DCM03-AFE4403 reference module.6.1 Testing conditionsAFE44x0SP02EVM was used to test the DCM03-AFE4403 reference module. The reference module was hard-wired to the MSP430 serial Peripheral Interface (SPI) on the evaluationmodule.Below were the testing conditions:In the reference module, AFE_VCC was set to 3V. LED_DRV_SUP was set to 3.3V.LED_DRV_GND and GND were shorted together. LED current was set to 5mA.Figure 15 shows the PPG waveform captured from the DCM03-AFE4403 reference module.Figure 16: PPG waveform from the DCM03-AFE4403 reference module6.2 Estimation of SpO2 percentageThis section outlines the calculation of SpO2 using PPG signals. The SpO2 estimation relies on the relationship between the baseline value (referred as DC component) to the fluctuation in the signal (referred to as AC component). SpO2 calculation is based on computing the “ratio ofratios” or Pulse Modulation ratio R which is defined as the ratio of AC/DC of red and IR LEDs as mentioned in Section 2.The PPG signal is normally contaminated with noise which could come from various sources like the power supply noise, motion artifact etc. An essential component as part of the datapreprocessing is filtering out the unwanted signal of interest. Since the DC component resides in frequencies below 0.5Hz, a low pass filter with a cutoff frequency of 5Hz can be used for theSpO2 estimation. This filtering stage is left for the user to implement.Here is an example of how to estimate SpO2 percentage based on the sample PPG data from Figure 15.The ratio of ratios R for the sample PPG data is computed below,R=(AC DC)Red(AC DC)IR=4mV(323mV)25mV(920mV)=0.455 (5)The R value is the only variable in the SpO2 estimation. The standard model for computing is defined as follows:SpO2 %=110−R∗25(6)This model is often used in the literature in the context of the medical devices. However, it relies on the calibration curves [2] that are used to make sure that this linear approximation provides a reasonable result.For the sample PPG data, % SpO2 is computed as below,SpO2 %=110−0.455∗25=98.6 %(7)TIDA-0030121Appendix A. Design ResourcesDesign Archive (ZIP File)All design files AFE4403Product Folder AFE4403EVMTools FolderTIDA-0030122Appendix B. AcronymsADC Analog-to-Digital ConverterAFE Analog Front EndDAC Digital-to-Analog ConverterHb HaemoglobinHbO2Oxygenated HaemoglobinLED Light Emitting DiodeMCU Microcontroller UnitPCB Printed Circuit BoardPPG PhotoplethysmographyRX ReceiverSPI Serial Peripheral InterfaceTI Texas InstrumentsTIA Transimpedance AmplifierTIDA-0030123Appendix C. 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