An Architecture for Cloud-Assisted Clinical Support System for Patient Monitoring and Disease Detection In Mobile Environments-Reference-Cited by-同舟云学术

An Architecture for Cloud-Assisted Clinical Support System for Patient Monitoring and Disease Detection In Mobile Environments

Published:2018-05-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare
language:
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Author:

Agbo Cornelius C.¹,Mahmoud Qusay H.¹,Eklund J. Mikael¹

Affiliation:

1. Department of Electrical, Computer and Software Engineering, University of Ontario Institute of Technology, Oshawa, Ontario, Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3240925.3240944

Reference19 articles.

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2. W. Schwartz E. Luz and D. Menott. 2016. ECG-based heartbeat classification for arrhythmia detection: a survey. Computer Methods and Programs in Biomedicine (2016) 144---164. 10.1016/j.cmpb.2015.12.008 W. Schwartz E. Luz and D. Menott. 2016. ECG-based heartbeat classification for arrhythmia detection: a survey. Computer Methods and Programs in Biomedicine (2016) 144---164. 10.1016/j.cmpb.2015.12.008

3. A. Faragli et al. 2017. Cardiovascular screening in low-income settings using a novel 4-lead smartphone-based electrocardiograph (D-HeartÂő). International Journal of Cardiology (2017). A. Faragli et al. 2017. Cardiovascular screening in low-income settings using a novel 4-lead smartphone-based electrocardiograph (D-HeartÂő). International Journal of Cardiology (2017).

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