Abstract
Purpose: To establish an individualized mobile health assistant manager for frailty detection and early intervention on smartphone application. Methods: A smartphone program was developed and elders were recruited for examination. The correlation analysis was performed for the screening ability and the effectiveness of intervention was discussed. Results: Twenty-two elders were participated and one was frail, while another was pre-frail. There were not any frailty signs among other 20 subjects. Both detection methods showed equally grouping results. Moreover, the correlation of physical activity counts and walking speed estimation between 2 methods demonstrated highly related (r = 0.747 & 0.800, respectively). However, the sample number of pre-frail subjects was too few to be analyzed in despite of the potential for getting better with 12 weeks intervention. Conclusion: The smartphone frailty screening system has a beneficial substitute for traditional manual measurements, as its immediately detection and exactly diagnosis. Besides, the computerized methods provide quantified data to represented the severity of frailty. It will help determination of intervention strategy for frailty syndrome and economized medical expenses and social expenditure.
Translated title of the contribution | Smartphone Application for Frailty Detection: Measurements of Physical Activity Counts and Walking Speed |
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Original language | Chinese (Traditional) |
Pages (from-to) | 27-34 |
Journal | 華人運動生物力學期刊 |
Volume | 17 |
Issue number | 2 |
DOIs | |
State | Published - Dec 2020 |
Keywords
- frailty syndrome
- early intervention
- delay disability
- individualized medicine
- electronic data processing