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

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
  2. Koffman L, Muschelli J. Evaluating Step Counting Algorithms on Subsecond Wrist-Worn Accelerometry: A Comparison Using Publicly Available Data Sets. Journal for the Measurement of Physical Behaviour 2024;7(1) View
  3. Fujii R, Tateishi T, Tanaka S. A Pilot Trial of Telerehabilitation for Chronic Stroke Survivors: A Case-series Study of Three Individuals. Progress in Rehabilitation Medicine 2024;9(0):n/a View
  4. Yi L, Hart J, Straczkiewicz M, Karas M, Wilt G, Hu C, Librett R, Laden F, Chavarro J, Onnela J, James P. Measuring Environmental and Behavioral Drivers of Chronic Diseases Using Smartphone-Based Digital Phenotyping: Intensive Longitudinal Observational mHealth Substudy Embedded in 2 Prospective Cohorts of Adults. JMIR Public Health and Surveillance 2024;10:e55170 View