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

Wearables and MHealth Viewpoints (80) Tools, Programs and Algorithms (275) mHealth for Data Collection and Research (981) Evaluation and Research Methodology for mHealth (210) Wearable Devices and Sensors (903)

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 (16) 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;96(3):750 View
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  12. Camerlingo N, Cai X, Adamowicz L, Welbourn M, Psaltos D, Zhang H, Messere A, Selig J, Lin W, Sheriff P, Demanuele C, Santamaria M, Karahanoglu F. Measuring gait parameters from a single chest-worn accelerometer in healthy individuals: a validation study. Scientific Reports 2024;14(1) View
  13. Scotland A, Cosne G, Juraver A, Karatsidis A, Penalver-Andres J, Bartholomé E, Kanzler C, Mazzà C, Roggen D, Hinchliffe C, Del Din S, Belachew S. DISPEL: A Python Framework for Developing Measures From Digital Health Technologies. IEEE Open Journal of Engineering in Medicine and Biology 2024;5:494 View
  14. Welbourn M, Sheriff P, Tuttle P, Adamowicz L, Psaltos D, Kelekar A, Selig J, Messere A, Mei W, Caouette D, Ghafoor S, Santamaria M, Zhang H, Demanuele C, Karahanoglu F, Cai X. In-Clinic and Natural Gait Observations master protocol (I-CAN-GO) to validate gait using a lumbar accelerometer. Scientific Reports 2024;14(1) View