| Literature DB >> 29060185 |
Maciej Kos, Iman Khaghani-Far, Christine M Gordon, Misha Pavel, Holly B Jimison.
Abstract
A key prerequisite for precision medicine is the ability to assess metrics of human behavior objectively, unobtrusively and continuously. This capability serves as a framework for the optimization of tailored, just-in-time precision health interventions. Mobile unobtrusive physiological sensors, an important prerequisite for realizing this vision, show promise in implementing this quality of physiological data collection. However, first we must trust the collected data. In this paper, we present a novel approach to improving heart rate estimates from wrist pulse photoplethysmography (PPG) sensors. We also discuss the impact of sensor movement on the veracity of collected heart rate data.Entities:
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Year: 2017 PMID： 29060185 PMCID： PMC5994914 DOI： 10.1109/EMBC.2017.8037141
Source DB: PubMed Journal: Conf Proc IEEE Eng Med Biol Soc ISSN： 1557-170X