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

Fitness Trackers and Smart Pedometers/Accelerometers (543) Mobile Health (mhealth) (2777) Quantified Self and Wellness (72) mHealth for Wellness, Behavior Change and Prevention (2754) Wearable Devices and Sensors (825)

Published on in Vol 5, No 3 (2017): March

Estimating Accuracy at Exercise Intensities: A Comparative Study of Self-Monitoring Heart Rate and Physical Activity Wearable Devices

Estimating Accuracy at Exercise Intensities: A Comparative Study of Self-Monitoring Heart Rate and Physical Activity Wearable Devices

Estimating Accuracy at Exercise Intensities: A Comparative Study of Self-Monitoring Heart Rate and Physical Activity Wearable Devices

Authors of this article:

Erin E Dooley1 Author Orcid Image ;   Natalie M Golaszewski1 Author Orcid Image ;   John B Bartholomew1 Author Orcid Image
Article Authors Cited by (170) Tweetations (17) Metrics

Journals

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Books/Policy Documents

  1. Tamura T, Maeda Y. Seamless Healthcare Monitoring. View
  2. Arigo D, Pasko K. Encyclopedia of Behavioral Medicine. View
  3. Moissa B, Bonnin G, Boyer A. Perspectives on Wearable Enhanced Learning (WELL). View
  4. Cruz-Sandoval D, Favela J, Lopez-Nava I, Morales A. IoT in Healthcare and Ambient Assisted Living. View
  5. Arigo D, Pasko K. Encyclopedia of Behavioral Medicine. View
  6. Busch L, Schücker L, Utesch T, Strauss B. Trust and Communication. View
  7. Xiang L, Hu Y. Nanoporous Carbons for Soft and Flexible Energy Devices. View
  8. Bedolla J, Pines J. Evidence‐Based Emergency Care. View
  9. Collecchia G, De Gobbi R. AI in Clinical Practice. View
  10. Lin C, Tung F, Chen C. Cross-Cultural Design. View