Active-Matrix Sensing Array Assisted with Machine-Learning Approach for Lumbar Degenerative Disease Diagnosis and Postoperative Assessment

Liu Di; Zhang Dongli; Sun ZhuoranZhou SiyuLi WeiLi ChengyuLi WeishiTang WeiWang Zhong Lin

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Active-Matrix Sensing Array Assisted with Machine-Learning Approach for Lumbar Degenerative Disease Diagnosis and Postoperative Assessment

机译：Active-Matrix Sensing Array Assisted with Machine-Learning Approach for Lumbar Degenerative Disease Diagnosis and Postoperative Assessment

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Lumbar degenerative disease (LDD) refers to the nerve compression syndrome such as neurogenic intermittent claudication and lower limb pain, which disturbs people's daily life, and its incidence increases with age. Traditional diagnosis often employs magnetic response imaging or other imaging examinations. But the radiological data have uncertain clinical correlation and often be overemphasized in clinical decision making. Here, an active-matrix sensing array (AMSA) is proposed to measure plantar pressure during walking, in order to improve LDD diagnostic processes. An array of piezoelectric sensors with high robustness are assembled. Combined with a support vector machine (SVM) supervised learning algorithm, the system can classify the common human motions of half-squat, squat, jump, walk and jog with an accuracy up to 99.2%, demonstrating its capability of recognizing personal activities. More importantly, in 62 clinical samples of lumbar degenerative patients, the system can perform an artificial intelligence diagnosis, achieving an accuracy of 100% with an area under receiver operating characteristic curve of 0.998, and also gives out recovery assessments after surgery. Since the personal plantar pressure is also indicative of other diseases, such as diabetes and fasciitis, the system can be extended to other medical aspects, showing a broad impact in biomedical engineering.

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《Advanced functional materials》 |2022年第21期|2113008.1-2113008.9|共9页
作者
Liu Di; Zhang Dongli; Sun ZhuoranZhou SiyuLi WeiLi ChengyuLi WeishiTang WeiWang Zhong Lin;
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Chinese Acad Sci, CAS Ctr Excellence Nanosci, Beijing Inst Nanoenergy & Nanosyst, Beijing 100083, Peoples R China|Univ Chinese Acad Sci, Sch Nanosci & Technol, Beijing 100049, Peoples R China|CUSPEA Inst Technol, Wenzhou 325024, Zhejiang, Peoples R China;

|Peking Univ Third Hosp, Dept Orthopaed, 49 North Garden Rd, Beijing 100191, Peoples R China|Minist Educ, Engn Res Ctr Bone & Joint Precis Med, 49 North Garden Rd, Beijing 100191, Peoples R China|Beijing Key Lab Spinal Dis Res, 49 North Garden Rd, Beijing;

Chinese Acad Sci, CAS Ctr Excellence Nanosci, Beijing Inst Nanoenergy & Nanosyst, Beijing 100083, Peoples R China|Univ Chinese Acad Sci, Sch Nanosci & Technol, Beijing 100049, Peoples R ChinaChinese Acad Sci, CAS Ctr Excellence Nanosci, Beijing Inst Nanoenergy & Nanosyst, Beijing 100083, Peoples R China|Univ Chinese Acad Sci, Sch Nanosci & Technol, Beijing 100049, Peoples R China|Inst Appl Nanotechnol, Jiaxing 314031, Zhejiang, Peoples R ChinChinese Acad Sci, CAS Ctr Excellence Nanosci, Beijing Inst Nanoenergy & Nanosyst, Beijing 100083, Peoples R China|Guangxi Univ, Ctr Nanoenergy Res, Sch Phys Sci & Technol, Nanning 530004, Peoples R China;

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正文语种英语
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active-matrix sensing array; intelligence diagnosis; machine learning; motion classification; piezoelectric sensors; recovery assessments;

Active-Matrix Sensing Array Assisted with Machine-Learning Approach for Lumbar Degenerative Disease Diagnosis and Postoperative Assessment

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