2026-03-10T06:57:19Z https://ipsj.ixsq.nii.ac.jp/oai

oai:ipsj.ixsq.nii.ac.jp:00213462 2025-01-19T17:09:14Z 1164:5336:10549:10730

RGBカメラを用いた頚髄症スクリーニング手法の提案 A Screening Method for Cervical Myelopathy Using a Camera 松井, 良太 小山, 恭史 藤田, 浩二 斎藤, 英雄 杉浦, 裕太 Ryota, Matsu Takafumi, Koyama Koji, Fujita Hideo, Saito Yuta, Sugiura 計測・認証 Cervical myelopathy (CM) is a pathology caused by cervical spinal cord compression. Spinal surgeons often use the 10-sec grip and release (G&R) test to screen hand disorders, a typical symptom of CM. We propose a screening method for CM based on videos of the G&R test and machine learning. Each patient holds their hand above a smartphone to record the G&R movement as a video with the built-in camera. We use an image-processing framework to obtain feature values of the hand movement. A support vector machine classifier estimates if these feature values suggest any characteristics of CM patients. We conducted a user experiment on 20 CM patients and 15 controls to evaluate our method. As a result, sensitivity, specificity, and area under the curve were 90.0%, 93.3%, and 0.947, respectively. This performance is higher than the conventional methods. Cervical myelopathy (CM) is a pathology caused by cervical spinal cord compression. Spinal surgeons often use the 10-sec grip and release (G&R) test to screen hand disorders, a typical symptom of CM. We propose a screening method for CM based on videos of the G&R test and ma- chine learning. Each patient holds their hand above a smartphone to record the G&R movement as a video with the built-in camera. We use an image-processing framework to obtain feature values of the hand movement. A support vector machine classifier estimates if these feature values suggest any characteristics of CM patients. We conducted a user experiment on 20 CM patients and 15 controls to evaluate our method. As a result, sensitivity, specificity, and area under the curve were 90.0%, 93.3%, and 0.947, respectively. This performance is higher than the conventional methods. Cervical myelopathy (CM) is a pathology caused by cervical spinal cord compression. Spinal surgeons often use the 10-sec grip and release (G&R) test to screen hand disorders, a typical symptom of CM. We propose a screening method for CM based on videos of the G&R test and machine learning. Each patient holds their hand above a smartphone to record the G&R movement as a video with the built-in camera. We use an image-processing framework to obtain feature values of the hand movement. A support vector machine classifier estimates if these feature values suggest any characteristics of CM patients. We conducted a user experiment on 20 CM patients and 15 controls to evaluate our method. As a result, sensitivity, specificity, and area under the curve were 90.0%, 93.3%, and 0.947, respectively. This performance is higher than the conventional methods. Cervical myelopathy (CM) is a pathology caused by cervical spinal cord compression. Spinal surgeons often use the 10-sec grip and release (G&R) test to screen hand disorders, a typical symptom of CM. We propose a screening method for CM based on videos of the G&R test and ma- chine learning. Each patient holds their hand above a smartphone to record the G&R movement as a video with the built-in camera. We use an image-processing framework to obtain feature values of the hand movement. A support vector machine classifier estimates if these feature values suggest any characteristics of CM patients. We conducted a user experiment on 20 CM patients and 15 controls to evaluate our method. As a result, sensitivity, specificity, and area under the curve were 90.0%, 93.3%, and 0.947, respectively. This performance is higher than the conventional methods. technical report 情報処理学会 2021-10-21 application/pdf 研究報告エンタテインメントコンピューティング（EC） 6 2021-EC-61 1 4 2188-8914 AA12049625 https://ipsj.ixsq.nii.ac.jp/record/213462/files/IPSJ-EC21061006.pdf jpn