C2P: An Unobtrusive Smartwatch-Based Platform for Automatic Background Monitoring of Fatigue

Proceedings of the First International Workshop on Human-centered Sensing, Networking, and Systems Pub Date : 2017-11-05 DOI:10.1145/3144730.3144732

Vivek Chandel, Shalini Mukhopadhyay, D. Jaiswal, Dhaval Satish Jani, Sundeep Khandelwal, A. Pal

{"title":"C2P: An Unobtrusive Smartwatch-Based Platform for Automatic Background Monitoring of Fatigue","authors":"Vivek Chandel, Shalini Mukhopadhyay, D. Jaiswal, Dhaval Satish Jani, Sundeep Khandelwal, A. Pal","doi":"10.1145/3144730.3144732","DOIUrl":null,"url":null,"abstract":"Cardiopulmonary disease prognosis can achieve therapeutic edge if the disorders can be detected and attended to at an early stage. This work proposes 'Cardiopulmonary Care Platform (C2P)' which in its current initial phase, targets at subjects in the stage of Functional Capacity II as per the NYHA staging system by detecting physiological fatigue, and signs of dispnea and palpitation, using a smartwatch after the subject has undergone a spell of physically intensive activity. A novel and computationally efficient solution is devised to reconstruct breathing cycles from raw PPG signal recorded from the smartwatch, which enables the system to continuously monitor the subject's heart rate and breathing pattern online. The method achieves high accuracy when verified against a precalibrated flow-meter. Also a novel and an accurate up/down stairs detection algorithm using onboard atmospheric pressure sensor is discussed. We also present a study of physiological measurements like heart rate, breathing rate and breathing signal power as possible markers for fatigue.","PeriodicalId":303235,"journal":{"name":"Proceedings of the First International Workshop on Human-centered Sensing, Networking, and Systems","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the First International Workshop on Human-centered Sensing, Networking, and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3144730.3144732","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 7

Abstract

Cardiopulmonary disease prognosis can achieve therapeutic edge if the disorders can be detected and attended to at an early stage. This work proposes 'Cardiopulmonary Care Platform (C2P)' which in its current initial phase, targets at subjects in the stage of Functional Capacity II as per the NYHA staging system by detecting physiological fatigue, and signs of dispnea and palpitation, using a smartwatch after the subject has undergone a spell of physically intensive activity. A novel and computationally efficient solution is devised to reconstruct breathing cycles from raw PPG signal recorded from the smartwatch, which enables the system to continuously monitor the subject's heart rate and breathing pattern online. The method achieves high accuracy when verified against a precalibrated flow-meter. Also a novel and an accurate up/down stairs detection algorithm using onboard atmospheric pressure sensor is discussed. We also present a study of physiological measurements like heart rate, breathing rate and breathing signal power as possible markers for fatigue.

查看原文本刊更多论文

C2P:基于智能手表的疲劳自动后台监测平台

如果能在早期发现和治疗，心肺疾病的预后可以达到治疗的优势。这项工作提出了“心肺护理平台(C2P)”，在目前的初始阶段，根据NYHA分期系统，通过检测生理疲劳，以及呼吸和心悸的迹象，在受试者经历了一段时间的高强度运动后，使用智能手表，针对处于功能能力II阶段的受试者。设计了一种新颖且计算效率高的解决方案，从智能手表记录的原始PPG信号中重建呼吸周期，使系统能够在线连续监测受试者的心率和呼吸模式。通过对预校准流量计的验证，该方法具有较高的精度。本文还讨论了一种利用机载大气压力传感器的新颖、准确的上下楼梯检测算法。我们还提出了一项生理测量的研究，如心率、呼吸频率和呼吸信号功率，作为疲劳的可能标志。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Proceedings of the First International Workshop on Human-centered Sensing, Networking, and Systems

自引率

0.00%

发文量