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Transitioning patients from hospital to at-home care is vital for health care operations. However, there is a general concern that these at-risk populations would not be receiving the same level of care at home as they would in a dedicated medical facility. Elderly populations experience a significantly higher risk of readmission after discharge from acute care hospitals. This shows that there is a significant gap in transitioning the care of older adults from hospitals to home/community settings. Adequate and safe rehabilitation requires close monitoring of the patients’ mobility, nutrition, and exercise to complete the recovery process and ensure restoration of independence. This project aims to develop advanced sensing and imaging technologies for smart home monitoring of elderly populations aging-at-home. This includes a full suite of technologies from various sensors, cameras, and other devices that can measure mobility patterns, nutrition intake, as well as provide self-administered physiotherapy in a home setting.
Qiyin Fang
Université Marie et Louis Pasteur
Engineering
Health and Related Sciences & Technology
McMaster University
Globalink Research Award
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