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

Innovations and Technology in Cancer Care (400) Mobile Health (mhealth) (2748) Nutrition, Physical Activity, Healthy Lifestyle for Cancer Patients and Survivors (131)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47646, first published .
Open-Source, Step-Counting Algorithm for Smartphone Data Collected in Clinical and Nonclinical Settings: Algorithm Development and Validation Study

Open-Source, Step-Counting Algorithm for Smartphone Data Collected in Clinical and Nonclinical Settings: Algorithm Development and Validation Study

Open-Source, Step-Counting Algorithm for Smartphone Data Collected in Clinical and Nonclinical Settings: Algorithm Development and Validation Study

Authors of this article:

Marcin Straczkiewicz1 Author Orcid Image ;   Nancy L Keating2, 3 Author Orcid Image ;   Embree Thompson4 Author Orcid Image ;   Ursula A Matulonis4 Author Orcid Image ;   Susana M Campos4 Author Orcid Image ;   Alexi A Wright4 Author Orcid Image ;   Jukka-Pekka Onnela1 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Karas M, Olsen J, Straczkiewicz M, Johnson S, Burke K, Iwasaki S, Lahav A, Scheier Z, Clark A, Iyer A, Huang E, Berry J, Onnela J. Tracking amyotrophic lateral sclerosis disease progression using passively collected smartphone sensor data. Annals of Clinical and Translational Neurology 2024;11(6):1380 View