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基于深度学习的运动心率测量系统
发布时间:2026-08-10 16:32:03

  

基于深度学习的运动心率测量系统(图1)

  ? 31 ? ? 12 ?·1912 ·?????????JOURNALOFELECTRONICMEASUREMENTANDINSTRUMENTATIONVol31No122017 ? 12 ?????:201704ReceivedDate:201704????:????????(81271659,61773408)????DOI:10.13382/j.jemi.2017.12.005??????????????? ??????????(?????? ???????? ???????????????430074)??:???????????????????????????,???????????????????(photoplethysmograph,PPG)?????。????? 15????????????????? PPG??,????????????(electrocardiogram,ECG)????????? ECG??,???????? PPG?????????(stackedautoencoder,SAE)???????,?? ECG????????,????????????????????,???????PPG????????????????????,??????????????? PPG?????????。? SAE????????? ECG??????,????,???????????? 1.1658bpm,??????????????????,???????????????????。???:??????;????;??;????????????:TN29;R318.6?????:A??????????:310.6110SportiveheartratemeasuringsystembasedondeeplearningRongFanwenZhengWeiChenRanGaoJunfeng(BiomedicalEngineeringCollege,SouthCentralUniversityforNationalities,Wuhan430074,China)Abstract:Themaindisadvantageofcurrentmethodsofdynamicheartratemeasurementisthelowaccuracy.Inordertoimprovetheproblem,deeplearningalgorithmwasintroducedtoextractthephotoplethysmograph(PPG)ofheartratevalue.Inthispaper,thepulsesignalsof15healthysubjectsparticipatedintheexperimentwasacquiredunderthedifferentvelocityastheinputofstackedautoencodersnetwork(SAE).Atthesametime,electrocardiograph(ECG)signalasthelabelofthatnetworkwasgatheredbyastandardECGcollectorwhichhashighantiinterference.Combiningwiththedeeplearningalgorithm,SAEwastrained,inwhichthepulsesignalwithstronginterferencewasfittedtothesignalofsinelikewavewiththecharacteristicofaccurateheartrate,inordertorealizetheextractionofheartrateundertheconditionofseriousdisturbanceundersportsconditions.TheexperimentalresultsshowthatcomparedwiththeoutputsignalofSAE,theproposedmethodobtainssmallererrorvalueoftheheartrate(1.1658bpm),whichshowstheeffectivenessofheartratemeasurementusingdeeplearningalgorithm,andprovidesanewwayforthesportiveheartratemeasurement.Keywords:sportiveheartratemeasurement;deeplearning;pulse;stackautoencodersnetwork0?...

  ? 31 ? ? 12 ?1912 ?????????JOURNALOFELECTRONICMEASUREMENTANDINSTRUMENTATIONVol31No122017 ? 12 ?????:201704ReceivedDate:201704????:????????(81271659,61773408)????DOI:10.13382/j.jemi.2017.12.005??????????????? ??????????(?????? ???????? ???????????????430074)??:???????????????????????????,????????????????ued体育官网???(photoplethysmograph,PPG)?????。????? 15????????????????? PPG??,????????????(electrocardiogram,ECG)????????? ECG??,???????? PPG?????????(stackedautoencoder,SAE)???????,?? ECG????????,????????????????????,???????PPG????????????????????,??????????????? PPG?????????。? SAE????????? ECG??????,????,???????????? 1.1658bpm,??????????????????,???????????????????。???:??????;????;??;????????????:TN29;R318.6?????:A??????????:310.6110SportiveheartratemeasuringsystembasedondeeplearningRongFanwenZhengWeiChenRanGaoJunfeng(BiomedicalEngineeringCollege,SouthCentralUniversityforNationalities,Wuhan430074,China)Abstract:Themaindisadvantageofcurrentmethodsofdynamicheartratemeasurementisthelowaccuracy.Inordertoimprovetheproblem,deeplearningalgorithmwasintroducedtoextractthephotoplethysmograph(PPG)ofheartratevalue.Inthispaper,thepulsesignalsof15healthysubjectsparticipatedintheexperimentwasacquiredunderthedifferentvelocityastheinputofstackedautoencodersnetwork(SAE).Atthesametime,electrocardiograph(ECG)signalasthelabelofthatnetworkwasgatheredbyastandardECGcollectorwhichhashighantiinterference.Combiningwiththedeued体育官网eplearningalgorithm,SAEwastrained,inwhichthepulsesignalwithstronginterferencewasfittedtothesignalofsinelikewavewiththecharacteristicofaccurateheartrate,inordertorealizetheextractionofheartrateundertheconditionofseriousdisturbanceundersportsconditions.TheexperimentalresultsshowthatcomparedwiththeoutputsignalofSAE,theproposedmethodobtainssmallererrorvalueoftheheartrate(1.1658bpm),whichshowstheeffectivenessofheartratemeasurementusingdeeplearningalgorithm,andprovidesanewwayforthesportiveheartratemeasurement.Keywords:sportiveheartratemeasurement;deeplearning;pulse;stackautoencodersnetwork0??????????????,?????????????????。????????????????????,?????????????????,?????????????????[1] ,????????????????????[2] ,??,???????,????????,???????????,??????????????????[3] 。?????????????????????????。??????????????????????