Using a Quality-Controlled Dataset From ViSi Mobile Monitoring for Analyzing Posture Patterns of Hospitalized Patients: Retrospective Observational Study
Using a 1-year ViSi dataset from routine inpatient monitoring, we derived summary statistics of posture duration and posture transitions for each patient and analyzed the summary statistics to identify patterns in the patient population. This analysis revealed several types of patient posture habits. Before analysis, we also developed methodology to clean and preprocess routinely collected inpatient ViSi monitoring data, which is a major contribution of this study. The procedure developed for data cleaning and preprocessing can have broad application to other monitoring systems used in hospitals.
Authors
- Clancy J. Clark (ORCID: https://orcid.org/0000-0002-1258-2752)
- Emily J. Huang (ORCID: https://orcid.org/0000-0003-1964-5231)
- Yuexin Chen (ORCID: https://orcid.org/0009-0009-4689-0671)
Institutions
- Wake Forest University (US)
Publication Details
- Journal
- JMIR mhealth and uhealth
- Published
- 2024-11-06
- DOI
- https://doi.org/10.2196/54735
- Citations
- 1
- Primary Topic
- Stoma care and complications
- Type
- article
- Field-Weighted Citation Impact
- 0.57