DocumentCode
591229
Title
Sleep in the cloud: On how to use available heart rate monitors to track sleep and improve quality of life
Author
Eyal, S. ; Dagan, Y. ; Baharav, A.
Author_Institution
HypnoCore Ltd., Petach-Tikva, Israel
fYear
2012
fDate
9-12 Sept. 2012
Firstpage
329
Lastpage
332
Abstract
As the modern society accumulates sleep debt that jeopardizes health, performance and wellbeing, people become increasingly interested in self-assessment. We aim to enable sleep self-evaluation using available Heart Rate (HR) monitors, mobile and cloud technology. Sleep was evaluated using a proprietary ECG-based validated sleep diagnostic software adapted to HR data obtained from HR monitor belts (HRMs) which are widely used to monitor HR during physical activity. Data were transmitted and stored on an iPhone, using a dedicated application. Two wireless communication channels are used for HRMs: (P1) Wearlink and (P2) ANT+. The stored information was uploaded to the cloud and automatically analyzed. The functionality of an automated sleep monitoring and analysis, using HRMs, with either P1 or P2 transmission, iPhone, and cloud based SleepRate software analysis has been checked. HR belts with ANT+ were the most suitable for recording HR during sleep. Millions of people own HRMs to assess their training. Now they can use the same device to evaluate and improve their sleep, thus improving their daytime physical and cognitive performance , wellbeing and overall health.
Keywords
cloud computing; cognition; electrocardiography; medical computing; mobile handsets; patient diagnosis; patient monitoring; sleep; telemedicine; (P2) ANT+; ECG-based validated sleep diagnostic software; HR data; HR monitor belts; P1 transmission; P2 transmission; automated sleep monitoring; cloud based sleep rate software analysis; cloud technology; cognitive performance; daytime physical performance; heart rate monitoring; iPhone; mobile technology; physical activity; self-assessment; sleep debt; sleep self-evaluation; sleep tracking; stored information; wearlink; wireless communication channels; Belts; Heart rate; Indexes; Silicon; Sleep apnea; Stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing in Cardiology (CinC), 2012
Conference_Location
Krakow
ISSN
2325-8861
Print_ISBN
978-1-4673-2076-4
Type
conf
Filename
6420397
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