Design of a Diagnostic System for Patient Recovery Based on Deep Learning Image Processing: For the Prevention of Bedsores and Leg Rehabilitation

被引：2

作者：

Choi, Donggyu ^{[1
]}

Jang, Jongwook ^{[1
]}

机构：

[1] Dong Eui Univ, Dept Comp Engn, Busan 47340, South Korea

来源：

DIAGNOSTICS | 2022年 / 12卷 / 02期

关键词：

deep learning; artificial intelligence; diagnostic program; rehabilitation; human pose estimation; HOME-CARE;

D O I：

10.3390/diagnostics12020273

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Worldwide COVID-19 infections have caused various problems throughout different countries. In the case of Korea, problems related to the demand for medical care concerning wards and doctors are serious, which were already slowly worsening problems in Korea before the COVID-19 pandemic. In this paper, we propose the direction of developing a system by combining artificial intelligence technology with limited areas that do not require high expertise in the rehabilitation medical field that should be improved in Korea through the prevention of bedsores and leg rehabilitation methods. Regarding the introduction of artificial intelligence technology, medical and related laws and regulations were quite limited, so the actual needs of domestic rehabilitation doctors and advice on the hospital environment were obtained. Satisfaction with the test content was high, the degree of provision of important medical data was 95%, and the angular error was within 5 degrees and suitable for recovery confirmation.

引用

页数：19

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