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

Wearables and MHealth Viewpoints (75) Tools, Programs and Algorithms (236) mHealth for Data Collection and Research (907) Evaluation and Research Methodology for mHealth (193) Wearable Devices and Sensors (811)

Published on in Vol 10, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36762, first published .
SciKit Digital Health: Python Package for Streamlined Wearable Inertial Sensor Data Processing

SciKit Digital Health: Python Package for Streamlined Wearable Inertial Sensor Data Processing

SciKit Digital Health: Python Package for Streamlined Wearable Inertial Sensor Data Processing

Authors of this article:

Lukas Adamowicz1 Author Orcid Image ;   Yiorgos Christakis1 Author Orcid Image ;   Matthew D Czech1 Author Orcid Image ;   Tomasz Adamusiak1 Author Orcid Image
Article Authors Cited by (15) Tweetations (9) Metrics

Journals

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  10. Di J, Tuttle P, Adamowicz L, Lin W, Zhang H, Psaltos D, Selig J, Bai J, Karahanoglu F, Sheriff P, Seelam V, Williams B, Ghafoor S, Demanuele C, Santamaria M, Cai X. Monitoring Activity and Gait in Children (MAGIC) using digital health technologies. Pediatric Research 2024 View
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