select ad.sno,ad.journal,ad.title,ad.author_names,ad.abstract,ad.abstractlink,j.j_name,vi.* from articles_data ad left join journals j on j.journal=ad.journal left join vol_issues vi on vi.issue_id_en=ad.issue_id where ad.sno_en='59243' and ad.lang_id='8' and j.lang_id='8' and vi.lang_id='8' Application of artificial physiotherapy methods with machine | 59243
ऑस्टियोपोरोसिस और शारीरिक गतिविधि जर्नल

ऑस्टियोपोरोसिस और शारीरिक गतिविधि जर्नल
खुला एक्सेस

आईएसएसएन: 2329-9509

अमूर्त

Application of artificial physiotherapy methods with machine learning for patients with injuries of the lower extremities

Andriy Hospodarskyy

The use of artificial intelligence (AI) has a major role in the implementation of telemedicine technology. The overarching theme of this paper is to discuss implementation of the telemedicine technology with machine learning algorithm for rehabilitation of patients with injuries of the lower extremities.

A total of 148 subjects with lower extremity injuries were enrolled in the study. 52 patients from the control group underwent traditional rehabilitation procedures. A total of 96 subjects were enrolled in the telerehabilitation group and were trained with a set of exercises. Home remote monitoring for the 96 test subjects included use of Prototype device with Axis-sensor, temperature. Based on the machine learning algorithm, rehabilitation doctor created an individualized rehabilitation plan for each subject, containing an

अस्वीकरण: इस सार का अनुवाद कृत्रिम बुद्धिमत्ता उपकरणों का उपयोग करके किया गया था और अभी तक इसकी समीक्षा या सत्यापन नहीं किया गया है।
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