Paper Info
Title
Can Accelerometry Data Improve Estimates Of Heart Rate Variability From Wrist Pulse Ppg Sensors?
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.
Year
DOI
Venue
2017
10.1109/EMBC.2017.8037141
2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Field
DocType
Volume
Computer vision,Data collection,Computer science,Heart rate variability,Photoplethysmogram,Accelerometer,Pulse (signal processing),Artificial intelligence
Conference
2017
ISSN
Citations 
PageRank 
1094-687X
0
0.34
References 
Authors
4
6
Name
Order
Citations
PageRank
Maciej Kos100.34
Xuan Li212427.25
Iman Khaghani Far382.56
Christine M. Gordon400.34
Misha Pavel576099.04
Holly B. Jimison61812.30