A Combination of Indoor Localization and Wearable Sensor–Based Physical Activity Recognition to Assess Older Patients Undergoing Subacute Rehabilitation: Baseline Study Results
Initiatives
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The study aimed to examine the ability of combination of physical activity and indoor location features, extracted at baseline, on a cohort of 154 rehabilitation-dwelling patients to discriminate between subacute care patients who are re-admitted to the hospital versus the patients who are able to stay in a community setting.
Note: All published information has been collected from the article referenced in the Marker Paper box below. Therefore, there may be variations with more advanced versions of the study.
- Start Year
- 2016
- End Year
- 2017
- Funding
- This research was mainly funded by an National Institutes of Health (NIH) grant, DHHS Agency for Health Care Research and Quality: RO1 HS024394.
Design
- Study design
- Patients' cohort
Marker Paper
Ramezani R, Zhang W, Xie Z, et al. A Combination of Indoor Localization and Wearable Sensor-Based Physical Activity Recognition to Assess Older Patients Undergoing Subacute Rehabilitation: Baseline Study Results. JMIR Mhealth Uhealth. 2019;7(7):e14090. Published 2019 Jul 10. doi:10.2196/14090
PUBMED 31293244
Recruitment
- Sources of Recruitment
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- Individuals
Number of participants
- Number of participants
- 154
- Number of participants with biosamples
Access
Availability of data and biosamples
| Data | |
| Biosamples | |
| Other |
Timeline
patients rehabilitation center
Participants aged older than 60 years were recruited from a subacute rehabilitation facility in Los Angeles. The study cohort contains patients who had been admitted to a subacute rehabilitation center for 21 days. After this period, patients were either re-admitted to hospital (H) or stayed in community (C; either at home or long-term care).
Selection Criteria
- Minimum age
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60
- Newborns
- Twins
- Countries
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- United States of America
- Territory
- Los Angeles
- Ethnic Origin
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- Health Status
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- Other criteria
- The inclusion criteria were broad, allowing any patient to participate as long as they were aged older than 60 years, English speaking, and able to consent with the exclusion criteria including movement disorders or paralysis of the upper or lower extremity. The diversity of cohort included patients who were a postsurgical, poststroke, and postclinical decompensation because of medical illnesses.
Recruitment
- Sources of recruitment
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- Specific population
- Specific Population
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- Clinic patients
Number of participants
- Number of participants
- 154
- Number of participants with biosamples
Data Collection Event
We analyzed physical activity sensor features to assess activity time and intensity. We also analyzed activities with regard to indoor localization.
- Start Date
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2016-06
- End Date
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2017-11
- Data sources
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Mobile data collection
- Smartwatch and wearables
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Mobile data collection