An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study.
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| Title: | An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study. |
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| Authors: | Popham S; Verily Life Sciences, South San Francisco, CA, United States., Burq M; Verily Life Sciences, South San Francisco, CA, United States., Rainaldi EE; Verily Life Sciences, South San Francisco, CA, United States., Shin S; Verily Life Sciences, South San Francisco, CA, United States., Dunn J; Department of Biomedical Engineering, Duke University, Durham, NC, United States.; Department of Biostatistics & Bioinformatics, Duke University, Durham, NC, United States.; Duke Clinical Research Institute, Durham, NC, United States., Kapur R; Verily Life Sciences, South San Francisco, CA, United States. |
| Source: | JMIR biomedical engineering [JMIR Biomed Eng] 2023 Mar 07; Vol. 8, pp. e43726. Date of Electronic Publication: 2023 Mar 07. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: JMIR Publications Inc Country of Publication: Canada NLM ID: 101771351 Publication Model: Electronic Cited Medium: Internet ISSN: 2561-3278 (Electronic) Linking ISSN: 25613278 NLM ISO Abbreviation: JMIR Biomed Eng Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2561-3278 |
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| DOI: | 10.2196/43726 |
