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

Formative Evaluation of Digital Health Interventions (2211) Wearable Devices and Sensors (822) New Methods (909) Tools, Programs and Algorithms (243)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43092, first published .
Development of an Open-source and Lightweight Sensor Recording Software System for Conducting Biomedical Research: Technical Report

Development of an Open-source and Lightweight Sensor Recording Software System for Conducting Biomedical Research: Technical Report

Development of an Open-source and Lightweight Sensor Recording Software System for Conducting Biomedical Research: Technical Report

Authors of this article:

Michael Single1 Author Orcid Image ;   Lena C Bruhin1 Author Orcid Image ;   Narayan Schütz1, 2 Author Orcid Image ;   Aileen C Naef1 Author Orcid Image ;   Heinz Hegi3 Author Orcid Image ;   Pascal Reuse1 Author Orcid Image ;   Kaspar A Schindler4 Author Orcid Image ;   Paul Krack4 Author Orcid Image ;   Roland Wiest5 Author Orcid Image ;   Andrew Chan4 Author Orcid Image ;   Tobias Nef1, 4 Author Orcid Image ;   Stephan M Gerber1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Single M, Bruhin L, Colombo A, Möri K, Gerber S, Lahr J, Krack P, Klöppel S, Müri R, Mosimann U, Nef T. A Transferable Lidar-Based Method to Conduct Contactless Assessments of Gait Parameters in Diverse Home-like Environments. Sensors 2024;24(4):1172 View
  2. Single M, Bruhin L, Naef A, Krack P, Nef T, Gerber S. Unobtrusive measurement of gait parameters using seismographs: An observational study. Scientific Reports 2024;14(1) View