Evaluating the accuracy of heart rate sensors based on photoplethysmography for in-the-wild analysis-Reference-Cited by-同舟云学术

Evaluating the accuracy of heart rate sensors based on photoplethysmography for in-the-wild analysis

Published:2019-05-20 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare
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Author:

Barrios Liliana¹,Oldrati Pietro¹,Santini Silvia²,Lutterotti Andreas³

Affiliation:

1. Department of Computer Science, ETH Zurich, Zurich, Switzerland

2. Università della Svizzera Italiana (USI), Lugano, Switzerland

3. Neuroimmunology and Multiple Sclerosis Research, Department of Neurology University of Zurich, Zurich, Switzerland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3329189.3329215

Reference41 articles.

1. Report of the 1995 World Health Organization/International Society and Federation of Cardiology Task Force on the Definition and Classification of Cardiomyopathies

2. NY : IBM Corp Armonk. Released 2017. IBM SPSS Statistics for Windows Version 25.0. NY: IBM Corp Armonk. Released 2017. IBM SPSS Statistics for Windows Version 25.0.

3. Influence of Running Stride Frequency in Heart Rate Variability Analysis During Treadmill Exercise Testing

4. Liliana Barrios Pietro Oldrati Silvia Santini and Andreas Lutterotti. 2018. Recognizing Digital Biomarkers for Fatigue Assessment in Patients with Multiple Sclerosis. In PervasiveHealth. EAI. Liliana Barrios Pietro Oldrati Silvia Santini and Andreas Lutterotti. 2018. Recognizing Digital Biomarkers for Fatigue Assessment in Patients with Multiple Sclerosis. In PervasiveHealth. EAI.

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