Title :
Photoplethysmography-based ambulatory heartbeat monitoring embedded into a dedicated bracelet
Author :
Arberet, Simon ; Lemay, Mathieu ; Renevey, Ph ; Sola, Josep ; Grossenbacher, Olivier ; Andries, D. ; Sartori, Claudio ; Bertschi, M.
Author_Institution :
Swiss Center for Electron. & Microtechnol. (CSEM), Neuchatel, Switzerland
Abstract :
Ambulatory electrocardiogram (ECG) monitors have been intensely used since half century but are still associated to clinical/ambulatory cumbersome procedures. The question of this research is the following: what is the performance of a photoplethysmography (PPG)- based device located at the wrist in terms of heart rate variability (HRV) monitoring? PPG and ECG signals were recorded simultaneously on 4 subjects. Heart-beat (RR) intervals were estimated from both devices. For PPG signals, a multi-sensors approach based on the detection of local minima of the time-derivative was used to estimate RR time series. For ECG signals, an approach based on adaptive threshold was used (gold standard). The normalized differences observed on time-domain and frequency-domain HRV features were computed. Results based on 1565 minutes of recordings (N=94´000) showed an averaged correlation around 0:9 between the HRV features extracted from the PPG and ECG-based device. In view of these results, it appears that the wrist sensor opens the door towards a new generation of comfortable and easy-to-use cardiac HRV tool especially well adapted for long-term monitoring.
Keywords :
body sensor networks; cardiology; electrocardiography; feature extraction; frequency-domain analysis; medical signal processing; patient monitoring; photoplethysmography; time series; time-domain analysis; ECG signal; ECG-based device; HRV feature extraction; PPG signal; PPG-based device; RR time series; adaptive threshold; ambulatory electrocardiogram monitor; averaged correlation; clinical/ambulatory cumbersome procedures; comfortable cardiac HRV tool; dedicated bracelet; easy-to-use cardiac HRV tool; frequency-domain HRV features; heart rate variability monitoring; heart-beat interval; local minima detection; long-term monitoring; multisensors; normalized differences; photoplethysmography-based ambulatory heartbeat monitoring; time 1565 min; time-derivative; time-domain HRV features; wrist sensor; Abstracts; Electrocardiography; Gold; Hafnium; Heart beat; Heart rate variability; Monitoring;
Conference_Titel :
Computing in Cardiology Conference (CinC), 2013
Conference_Location :
Zaragoza
Print_ISBN :
978-1-4799-0884-4