{"title":"用于移动心肺监测和报警的耳内光电容积脉搏图","authors":"B. Venema, V. Blazek, S. Leonhardt","doi":"10.1109/BSN.2015.7299367","DOIUrl":null,"url":null,"abstract":"In this work, we report on human trials with the MedIT in-ear photoplethysmography (PPG) measurement system. The system is evaluated with healthy subjects and people suffering from heart insufficiency, respectively. Physiological heart activity can be measured with a minimal error of 1.2 heartbeats per minute and a regression coefficient of 0.9975 compared with standard ECG. Respiration related information was extracted by combining PPG amplitude analysis and car-diorespirational coupling (cardiorespiratory sinus arrhythmia). The moments of inspiration and expiration were estimated with a Naive Bayes' classifier with high sensitivity and specificity of 81,4% and 86%, respectively. For automatic cardiological alarming, a feature space is defined that clearly demonstrates the separability of normal heart rhythm and heart insufficiency. The results demonstrate a promising perspective for a mobile and long-term cardiorespiratory monitoring and alarming with an unobtrusive and inexspensive PPG measurement technique that is fully compatible to modern communication devices.","PeriodicalId":447934,"journal":{"name":"2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"In-ear photoplethysmography for mobile cardiorespiratory monitoring and alarming\",\"authors\":\"B. Venema, V. Blazek, S. Leonhardt\",\"doi\":\"10.1109/BSN.2015.7299367\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, we report on human trials with the MedIT in-ear photoplethysmography (PPG) measurement system. The system is evaluated with healthy subjects and people suffering from heart insufficiency, respectively. Physiological heart activity can be measured with a minimal error of 1.2 heartbeats per minute and a regression coefficient of 0.9975 compared with standard ECG. Respiration related information was extracted by combining PPG amplitude analysis and car-diorespirational coupling (cardiorespiratory sinus arrhythmia). The moments of inspiration and expiration were estimated with a Naive Bayes' classifier with high sensitivity and specificity of 81,4% and 86%, respectively. For automatic cardiological alarming, a feature space is defined that clearly demonstrates the separability of normal heart rhythm and heart insufficiency. The results demonstrate a promising perspective for a mobile and long-term cardiorespiratory monitoring and alarming with an unobtrusive and inexspensive PPG measurement technique that is fully compatible to modern communication devices.\",\"PeriodicalId\":447934,\"journal\":{\"name\":\"2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN)\",\"volume\":\"107 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BSN.2015.7299367\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BSN.2015.7299367","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In-ear photoplethysmography for mobile cardiorespiratory monitoring and alarming
In this work, we report on human trials with the MedIT in-ear photoplethysmography (PPG) measurement system. The system is evaluated with healthy subjects and people suffering from heart insufficiency, respectively. Physiological heart activity can be measured with a minimal error of 1.2 heartbeats per minute and a regression coefficient of 0.9975 compared with standard ECG. Respiration related information was extracted by combining PPG amplitude analysis and car-diorespirational coupling (cardiorespiratory sinus arrhythmia). The moments of inspiration and expiration were estimated with a Naive Bayes' classifier with high sensitivity and specificity of 81,4% and 86%, respectively. For automatic cardiological alarming, a feature space is defined that clearly demonstrates the separability of normal heart rhythm and heart insufficiency. The results demonstrate a promising perspective for a mobile and long-term cardiorespiratory monitoring and alarming with an unobtrusive and inexspensive PPG measurement technique that is fully compatible to modern communication devices.