Open-Source, Step-Counting Algorithm for Smartphone Data Collected in Clinical and Nonclinical Settings: Algorithm Development and Validation Study
Marcin Straczkiewicz, Nancy L Keating, Embree Thompson, Ursula A Matulonis, Susana M Campos, Alexi A Wright, Jukka-Pekka Onnela, Taiane de Azevedo Cardoso, Daniel Rubin, Marcos Matabuena, Xuancong Wang · 2023
Read Open-Source, Step-Counting Algorithm for Smartphone Data Collected in Clinical and Nonclinical Settings: Algorithm Development and Validation Study by Marcin Straczkiewicz, Nancy L Keating, Embree Thompson, Ursula A Matulonis, Susana M Campos, Alexi A Wright, Jukka-Pekka Onnela, Taiane de Azevedo Cardoso, Daniel Rubin, Marcos Matabuena, Xuancong Wang (2023) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-10687676.txt.
Description
A peer-reviewed research article from Europe PMC (2023). BackgroundStep counts are increasingly used in public health and clinical research to assess well-being, lifestyle, and health status. However, estimating step counts using commercial activity trackers has several limitations, including a lack of reproducibility, generalizability, and scalability.
Catalog record
| CREATOR | Marcin Straczkiewicz, Nancy L Keating, Embree Thompson, Ursula A Matulonis, Susana M Campos, Alexi A Wright, Jukka-Pekka Onnela, Taiane de Azevedo Cardoso, Daniel Rubin, Marcos Matabuena, Xuancong Wang |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 43 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |