Automated Cardiac Health Screening Using Smartphone and Wearable Sensors Through Anomaly Analytics-Reference-Cited by-同舟云学术

Automated Cardiac Health Screening Using Smartphone and Wearable Sensors Through Anomaly Analytics

Published:2018-12-11 Issue: Volume: Page:145-172
ISSN:2522-8595
Container-title:Mobile Solutions and Their Usefulness in Everyday Life
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Author:

Ukil Arijit,Bandyopadhyay Soma

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-93491-4_8

Reference55 articles.

1. American Heart Association, Heart Disease and Stroke Statistics – 2013. [Online]. Available: http://www.heart.org/HEARTORG/General/Cardiac-Arrest-Statistics_UCM_448311_Article.jsp . Accessed 20 Feb 2018

2. Clifford G, Clifton D (2012) Annual review: wireless technology in disease management and medicine. Ann Review Med 63:479–492

3. Alivecor. [Online]. Available: https://www.alivecor.com/ . Accessed 20 Feb 2018

4. KARDIABAND, Your personal EKG on your wrist: [Online] Accessed on 20 February, 2018. Available: https://www.alivecor.com/kardiaband/

5. Grimaldi D, Kurylyak Y, Lamonaca F, Nastro A (2011) Photoplethysmography detection by smartphone’s video camera. Proceedings of the 6th IEEE international conference on intelligent data acquisition and advanced computing systems, Prague, 2011, pp 488–491

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