Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Carter McElroy"'
Publikováno v:
IEEE Access, Vol 8, Pp 99889-99899 (2020)
In traditional physical therapy, balance evaluation is performed by the physical therapist (PT) intermittently during clinic visits, which is subjective, inconvenient, and time-consuming. In this paper, we use sensors and deep learning to propose an
Externí odkaz:
https://doaj.org/article/9528322cd53c44549df66f3d6d976be2
Publikováno v:
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 27(9)
In this paper, we propose a machine learning-based virtual physical therapist (PT) system to enable personalized remote training for patients with Parkinson’s disease (PD). Three physical therapy tasks with multiple difficulty levels are selected t
Publikováno v:
ICHI
Traditional physical therapy treatment for patients with Parkinson's disease (PD) requires regular visits with the physical therapist (PT), which may be expensive and inconvenient. In this paper, we propose a learning-based personalized treatment sys
Autor:
Catherine Printz, Daniela Glaser, Alican Nalci, Carter McElroy, Kanza Khan, Pamela C. Cosman, Dingli Qin
Publikováno v:
2014 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).
Physical therapy exercises often involve a patient exerting a force on an object. When a physical therapist shows a patient how much force to exert, the patient may or may not be able to accurately replicate at home what they were shown in the clinic