@techreport{oai:ipsj.ixsq.nii.ac.jp:00213462,
 author = {松井, 良太 and 小山, 恭史 and 藤田, 浩二 and 斎藤, 英雄 and 杉浦, 裕太 and Ryota, Matsu and Takafumi, Koyama and Koji, Fujita and Hideo, Saito and Yuta, Sugiura},
 issue = {6},
 month = {Oct},
 note = {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.},
 title = {RGBカメラを用いた頚髄症スクリーニング手法の提案},
 year = {2021}
}