This paper is in the following e-collection/theme issue:

Wearable Devices and Sensors (825) Novel Sensors and Data Acquisition Methods in Cardiology (191)

Published on in Vol 6, No 12 (2018): December

Data Integrity–Based Methodology and Checklist for Identifying Implementation Risks of Physiological Sensing in Mobile Health Projects: Quantitative and Qualitative Analysis

Data Integrity–Based Methodology and Checklist for Identifying Implementation Risks of Physiological Sensing in Mobile Health Projects: Quantitative and Qualitative Analysis

Data Integrity–Based Methodology and Checklist for Identifying Implementation Risks of Physiological Sensing in Mobile Health Projects: Quantitative and Qualitative Analysis

Authors of this article:

Jia Zhang1 Author Orcid Image ;   Laura Tüshaus1 Author Orcid Image ;   Néstor Nuño Martínez2, 3 Author Orcid Image ;   Monica Moreo1 Author Orcid Image ;   Hector Verastegui4 Author Orcid Image ;   Stella M Hartinger2, 3, 4 Author Orcid Image ;   Daniel Mäusezahl2, 3 Author Orcid Image ;   Walter Karlen1 Author Orcid Image
Article Authors Cited by (4) Tweetations (8) Metrics

Jia Zhang   1 , MSc ;   Laura Tüshaus   1 , PhD ;   Néstor Nuño Martínez   2, 3 , MSc ;   Monica Moreo   1 , MSc ;   Hector Verastegui   4 , Lic ;   Stella M Hartinger   2, 3, 4 , PhD ;   Daniel Mäusezahl   2, 3 , PhD ;   Walter Karlen   1 , Prof Dr

1 Mobile Health Systems Lab, Institute of Robotics and Intelligent Systems, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland

2 Department of Epidemiology & Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland

3 University of Basel, Basel, Switzerland

4 Universidad Peruana Cayetano Heredia, Lima, Peru

Corresponding Author:

  • Walter Karlen, Prof Dr
  • Mobile Health Systems Lab, Institute of Robotics and Intelligent Systems
  • Department of Health Sciences and Technology
  • ETH Zurich
  • Building BAA
  • Lengghalde 5
  • Zurich, 8092
  • Switzerland
  • Phone: 41 44 63 3 77 54
  • Email: walter.karlen@ieee.org