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孙 玉, 刘 培, 杨 宇, 于 洋, 于 欢, 孙 潇, 巫 嘉, 韩 建, 于 宁. [A two-dimensional video based quantification method and clinical application research of motion disorders]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi 2023; 40:499-507. [PMID: 37380389 PMCID: PMC10307617 DOI: 10.7507/1001-5515.202203052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 05/08/2023] [Indexed: 06/30/2023]
Abstract
The increasing prevalence of the aging population, and inadequate and uneven distribution of medical resources, have led to a growing demand for telemedicine services. Gait disturbance is a primary symptom of neurological disorders such as Parkinson's disease (PD). This study proposed a novel approach for the quantitative assessment and analysis of gait disturbance from two-dimensional (2D) videos captured using smartphones. The approach used a convolutional pose machine to extract human body joints and a gait phase segmentation algorithm based on node motion characteristics to identify the gait phase. Moreover, it extracted features of the upper and lower limbs. A height ratio-based spatial feature extraction method was proposed that effectively captures spatial information. The proposed method underwent validation via error analysis, correction compensation, and accuracy verification using the motion capture system. Specifically, the proposed method achieved an extracted step length error of less than 3 cm. The proposed method underwent clinical validation, recruiting 64 patients with Parkinson's disease and 46 healthy controls of the same age group. Various gait indicators were statistically analyzed using three classic classification methods, with the random forest method achieving a classification accuracy of 91%. This method provides an objective, convenient, and intelligent solution for telemedicine focused on movement disorders in neurological diseases.
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Affiliation(s)
- 玉波 孙
- 南开大学 人工智能学院(天津 300350)College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China
- 南开大学 天津市智能机器人技术重点实验室(天津 300350)Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300350, P. R. China
| | - 培培 刘
- 南开大学 人工智能学院(天津 300350)College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China
| | - 宇辰 杨
- 南开大学 人工智能学院(天津 300350)College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China
- 南开大学 天津市智能机器人技术重点实验室(天津 300350)Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300350, P. R. China
| | - 洋 于
- 南开大学 人工智能学院(天津 300350)College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China
| | - 欢 于
- 南开大学 人工智能学院(天津 300350)College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China
| | - 潇逸 孙
- 南开大学 人工智能学院(天津 300350)College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China
| | - 嘉陵 巫
- 南开大学 人工智能学院(天津 300350)College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China
- 南开大学 天津市智能机器人技术重点实验室(天津 300350)Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300350, P. R. China
| | - 建达 韩
- 南开大学 人工智能学院(天津 300350)College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China
- 南开大学 天津市智能机器人技术重点实验室(天津 300350)Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300350, P. R. China
- 天津市环湖医院 神经内科(天津 300350)Department of Neurology, Tianjin Huanhu Hospital, Tianjin 300350, P. R. China
- 天津市环湖医院 康复医学科(天津 300350)Department of Rehabilitation Medicine, Tianjin Huanhu Hospital, Tianjin 300350, P. R. China
| | - 宁波 于
- 南开大学 人工智能学院(天津 300350)College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China
- 南开大学 天津市智能机器人技术重点实验室(天津 300350)Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300350, P. R. China
- 天津市环湖医院 神经内科(天津 300350)Department of Neurology, Tianjin Huanhu Hospital, Tianjin 300350, P. R. China
- 天津市环湖医院 康复医学科(天津 300350)Department of Rehabilitation Medicine, Tianjin Huanhu Hospital, Tianjin 300350, P. R. China
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Chao YP, Kang CJ, Chuang HH, Hsieh MJ, Chang YC, Kuo TBJ, Yang CCH, Huang CG, Fang TJ, Li HY, Lee LA. Comparison of the effect of 360° versus two-dimensional virtual reality video on history taking and physical examination skills learning among undergraduate medical students: a randomized controlled trial. Virtual Real 2022; 27:637-650. [PMID: 35992202 PMCID: PMC9379871 DOI: 10.1007/s10055-022-00664-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Accepted: 05/25/2022] [Indexed: 05/07/2023]
Abstract
Before caring for patients, video instruction is commonly used for undergraduate medical students, and 360° virtual reality (VR) videos have gained increasing interest in clinical medical education. Therefore, the effect of immersive 360° VR video learning compared with two-dimensional (2D) VR video learning in clinical skills acquisition should be evaluated. This randomized, intervention-controlled clinical trial was aimed to assess whether immersive 360° VR video improves undergraduate medical students' learning effectiveness and reduces the cognitive load in history taking and physical examination (H&P) training. From May 1 2018 to October 30 2018, 64 senior undergraduate medical students in a tertiary academic hospital were randomized to receive a 10-min immersive 360° (360° VR video group; n = 32) or 2D VR instructional video (2D VR video group; n = 32), including essential knowledge and competency of H&P. The demographic characteristics of the two groups were comparable for age, sex, and cognitive style. The total procedure skill score, physical examination score, learner's satisfaction score, and total cognitive load in the 360° VR video group were significantly higher than those in the 2D VR video group (effect sizes [95% confidence interval]: 0.72 [0.21-1.22], 0.63 [0.12-1.13], 0.56 [0.06-1.06], and 0.53 [0.03-1.03], respectively). This study suggested that a10-minute 360° VR video instruction helped undergraduate medical students perform fundamental H&P skills as effectively as 2D VR video. Furthermore, the 360° VR video might result in significantly better procedural metrics of physical examinations with higher learner satisfaction despite the higher cognitive load. Supplementary Information The online version contains supplementary material available at 10.1007/s10055-022-00664-0.
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Affiliation(s)
- Yi-Ping Chao
- Department of Computer Science and Information Engineering, Graduate Institute of Medical Mechatronics, Chang Gung University, 33302 Taoyuan, Taiwan
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Main Branch, 33305 Taoyuan, Taiwan
| | - Chung-Jan Kang
- Faculty of Medicine, Graduate Institute of Clinical Medicine Sciences, College of Medicine, Chang Gung University, 33302 Taoyuan, Taiwan
- Department of Otorhinolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, No. 5, Fu-Hsing Street, Gueishan District, Linkou Main Branch, 33305 Taoyuan, Taiwan, Republic of China
| | - Hai-Hua Chuang
- Faculty of Medicine, Graduate Institute of Clinical Medicine Sciences, College of Medicine, Chang Gung University, 33302 Taoyuan, Taiwan
- Department of Family Medicine, Chang Gung Memorial Hospital, Linkou Main Branch, Taoyuan, 33305 Taiwan
- School of Medicine, College of Life Science, National Tsing Hua University, Hsinchu, 300044 Taiwan
- Department of Industrial Engineering and Management, National Taipei University of Technology, 10608 Taipei, Taiwan
| | - Ming-Ju Hsieh
- Faculty of Medicine, Graduate Institute of Clinical Medicine Sciences, College of Medicine, Chang Gung University, 33302 Taoyuan, Taiwan
- Department of Surgery, Chang Gung Memorial Hospital, Linkou Main Branch, Taoyuan, 33305 Taiwan
| | - Yu-Che Chang
- Faculty of Medicine, Graduate Institute of Clinical Medicine Sciences, College of Medicine, Chang Gung University, 33302 Taoyuan, Taiwan
- Department of Emergency Medicine, Chang Gung Memorial Hospital, Linkou Main Branch, Taoyuan, 33305 Taiwan
| | - Terry B. J. Kuo
- Institute of Brain Science, National Yang Ming Chiao Tung University, 11221 Taipei, Taiwan
| | - Cheryl C. H. Yang
- Institute of Brain Science, National Yang Ming Chiao Tung University, 11221 Taipei, Taiwan
| | - Chung-Guei Huang
- Department of Laboratory Medicine, Chang Gung Memorial Hospital, Linkou Main Branch, 33305 Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, Graduate Institute of Biomedical Sciences, Chang Gung University, 33302 Taoyuan, Taiwan
| | - Tuan-Jen Fang
- Faculty of Medicine, Graduate Institute of Clinical Medicine Sciences, College of Medicine, Chang Gung University, 33302 Taoyuan, Taiwan
- Department of Otorhinolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, No. 5, Fu-Hsing Street, Gueishan District, Linkou Main Branch, 33305 Taoyuan, Taiwan, Republic of China
| | - Hsueh-Yu Li
- Faculty of Medicine, Graduate Institute of Clinical Medicine Sciences, College of Medicine, Chang Gung University, 33302 Taoyuan, Taiwan
- Department of Otorhinolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, No. 5, Fu-Hsing Street, Gueishan District, Linkou Main Branch, 33305 Taoyuan, Taiwan, Republic of China
| | - Li-Ang Lee
- Faculty of Medicine, Graduate Institute of Clinical Medicine Sciences, College of Medicine, Chang Gung University, 33302 Taoyuan, Taiwan
- Department of Otorhinolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, No. 5, Fu-Hsing Street, Gueishan District, Linkou Main Branch, 33305 Taoyuan, Taiwan, Republic of China
- School of Medicine, College of Life Science, National Tsing Hua University, Hsinchu, 300044 Taiwan
- Institute of Brain Science, National Yang Ming Chiao Tung University, 11221 Taipei, Taiwan
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