دورية أكاديمية
High-Dimensional Analysis of Finger Motion and Screening of Cervical Myelopathy With a Noncontact Sensor: Diagnostic Case-Control Study.
| العنوان: | High-Dimensional Analysis of Finger Motion and Screening of Cervical Myelopathy With a Noncontact Sensor: Diagnostic Case-Control Study. |
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| المؤلفون: | Koyama, Takafumi, Matsui, Ryota, Yamamoto, Akiko, Yamada, Eriku, Norose, Mio, Ibara, Takuya, Kaburagi, Hidetoshi, Nimura, Akimoto, Sugiura, Yuta, Saito, Hideo, Okawa, Atsushi, Fujita, Koji |
| المصدر: | JMIR Biomed Eng ; ISSN:2561-3278 ; Volume:7 ; Issue:2 |
| بيانات النشر: | JMIR Publications |
| سنة النشر: | 2022 |
| المجموعة: | PubMed Central (PMC) |
| مصطلحات موضوعية: | 10-second hand grip and release test, Leap Motion, carpal tunnel syndrome, cervical myelopathy, clinical informatics, clumsiness, diagnosis, diagnostic, high-dimensional analysis, high-dimensional data analysis, high-dimensional statistics, machine learning, model, motion detection, motion sensor, myelopathy, nervous system disease, nervous system disorder, screening, screening system, sensor, spinal cord disease, spinal cord disorder, system validation |
| الوصف: | Cervical myelopathy (CM) causes several symptoms such as clumsiness of the hands and often requires surgery. Screening and early diagnosis of CM are important because some patients are unaware of their early symptoms and consult a surgeon only after their condition has become severe. The 10-second hand grip and release test is commonly used to check for the presence of CM. The test is simple but would be more useful for screening if it could objectively evaluate the changes in movement specific to CM. A previous study analyzed finger movements in the 10-second hand grip and release test using the Leap Motion, a noncontact sensor, and a system was developed that can diagnose CM with high sensitivity and specificity using machine learning. However, the previous study had limitations in that the system recorded few parameters and did not differentiate CM from other hand disorders. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| العلاقة: | https://doi.org/10.2196/41327Test; https://pubmed.ncbi.nlm.nih.gov/38875599Test; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11041434Test/ |
| DOI: | 10.2196/41327 |
| الإتاحة: | https://doi.org/10.2196/41327Test https://pubmed.ncbi.nlm.nih.gov/38875599Test https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11041434Test/ |
| حقوق: | ©Takafumi Koyama, Ryota Matsui, Akiko Yamamoto, Eriku Yamada, Mio Norose, Takuya Ibara, Hidetoshi Kaburagi, Akimoto Nimura, Yuta Sugiura, Hideo Saito, Atsushi Okawa, Koji Fujita. Originally published in JMIR Biomedical Engineering (http://biomsedeng.jmir.orgTest), 03.10.2022. |
| رقم الانضمام: | edsbas.3B094BC9 |
| قاعدة البيانات: | BASE |
| DOI: | 10.2196/41327 |
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