cHRV Uncovering Daily Stress Dynamics Using Bio-Signal from Consumer Wearables
Knowing the dynamics of ones daily stress is essential to effective stress management in the context of smart and connected health. However, there lacks a practical and unobtrusive means to obtain real-time and longitudinal stress information. In this paper, we attempt to derive a convenient HRV-based (heart rate variability) biomarker named cHRV, which can be used to reliably reflect stress dynamics. cHRVs key advantage lies in its low maintenance and high practicality. It can be efficiently calculated only using data from photoplethysmography (PPG) sensors, the mainstream heart rate sensor embedded in most of the consumer wearables like Apple Watch. Benefiting from the proliferation of wearables, cHRV is ideal for day-to-day stress monitoring. To evaluate its feasibility and performance, we have conducted 14 in-lab controlled experiments. The result shows that the proposed cHRV has strong correlation with the stress dynamics (r>0.95), therefore exhibits great potential for continuous stress assessment.
Stress,Psychological Biomarkers Heart Rate
Tian Hao Henry Chang Marion Ball Kun Lin Xinxin Zhu
Center for Computational Health,IBM T.J. Watson Research Center,Yorktown Heights,NY,U.S.A.
国际会议
第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)
苏州
英文
98-102
2017-08-21（万方平台首次上网日期，不代表论文的发表时间）