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• W4383752362 abstract "Objective: It is important to improve caregiving skills to help reduce the strain on inexperienced caregivers. Previous studies on quantifying caregiving skills have predominantly relied on expensive equipment, such as motion-capture systems with multiple infrared cameras or acceleration sensors. To overcome the cost and space limitations of existing systems, we developed a simple evaluation system for transfer care skills that uses capacitive sensors composed of conductive embroidery fibers. The proposed system can be developed with a few thousand US dollars. Method: The developed evaluation system was used to compare the seating position and velocity of a care recipient during transfers from a nursing-care bed to a wheelchair between groups of inexperienced and expert caregivers. To validate the proposed system, we compare the motion data measured by our system and the data obtained from a conventional three-dimensional motion-capture system and force plate. Results: We analyze the relationship between changes in the center of pressure (CoP) recorded by the force plate and the center of gravity (CoG) obtained by the developed system. Evidently, the changes in CoP have a relation with the CoG. We show that the actual seating speed (vz) measured by the motion-capture system is related to the speed coefficient calculated from our sensor output. A significant difference exists in Vz between the inexperienced group and the physical therapists/occupational therapists’ group. Conclusions: The proposed system can effectively estimate a caregiver’s skill level in transferring patients from a bed to a wheelchair in terms of the seating position and velocity." @default.
• W4383752362 created "2023-07-11" @default.
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• W4383752362 date "2023-01-01" @default.
• W4383752362 modified "2023-10-13" @default.
• W4383752362 title "Development of an Evaluation System for Transfer Care Skills Using Embroidered Body Pressure and Proximity Sensor" @default.
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• W4383752362 doi "https://doi.org/10.1109/jtehm.2023.3294062" @default.
• W4383752362 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37817824" @default.
• W4383752362 hasPublicationYear "2023" @default.
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