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

Development of Novel Medical Devices and Innovations for Existing Devices (88) Innovations and Technology for Physical Activity Education (813) Wearable Devices and Sensors (987) Fitness Trackers and Smart Pedometers/Accelerometers (610)

Published on in Vol 8 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43726, first published .
An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study

An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study

An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study

Authors of this article:

Sara Popham1 Author Orcid Image ;   Maximilien Burq1 Author Orcid Image ;   Erin E Rainaldi1 Author Orcid Image ;   Sooyoon Shin1 Author Orcid Image ;   Jessilyn Dunn2, 3, 4 Author Orcid Image ;   Ritu Kapur1 Author Orcid Image
Article Authors Cited by (6) Tweetations (10) Metrics

Journals

  1. Kowahl N, Shin S, Barman P, Rainaldi E, Popham S, Kapur R. Accuracy and Reliability of a Suite of Digital Measures of Walking Generated Using a Wrist-Worn Sensor in Healthy Individuals: Performance Characterization Study. JMIR Human Factors 2023;10:e48270 View
  2. de Graaf D, de Vries N, van de Zande T, Schimmel J, Shin S, Kowahl N, Barman P, Kapur R, Marks Jr W, van 't Hul A, Bloem B. Measuring Physical Functioning Using Wearable Sensors in Parkinson Disease and Chronic Obstructive Pulmonary Disease (the Accuracy of Digital Assessment of Performance Trial Study): Protocol for a Prospective Observational Study. JMIR Research Protocols 2024;13:e55452 View
  3. Shin S, Kowahl N, Hansen T, Ling A, Barman P, Cauwenberghs N, Rainaldi E, Short S, Dunn J, Shandhi M, Shah S, Mahaffey K, Kuznetsova T, Daubert M, Douglas P, Haddad F, Kapur R. Real-world walking behaviors are associated with early-stage heart failure: a Project Baseline Health Study. Journal of Cardiac Failure 2024;30(11):1423 View
  4. Medhi D, Kamidi S, Mamatha Sree K, Shaikh S, Rasheed S, Thengu Murichathil A, Nazir Z. Artificial Intelligence and Its Role in Diagnosing Heart Failure: A Narrative Review. Cureus 2024 View
  5. Feng K, Short S, Saeb S, Carroll M, Olivier C, Simard E, Swope S, Williams D, Eckstrand J, Pagidipati N, Shah S, Hernandez A, Mahaffey K. Resting Heart Rate and Associations With Clinical Measures From the Project Baseline Health Study: Observational Study. Journal of Medical Internet Research 2024;26:e60493 View

Books/Policy Documents

  1. Asiamah N, Danquah E, Sghaier S, Mensah H, Kouveliotis K. Sustainable Neighbourhoods for Ageing in Place. View