{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T12:35:43Z","timestamp":1775738143402,"version":"3.50.1"},"reference-count":42,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2022,12,8]],"date-time":"2022-12-08T00:00:00Z","timestamp":1670457600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62072321"],"award-info":[{"award-number":["62072321"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"crossref","award":["2020M671597"],"award-info":[{"award-number":["2020M671597"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100010011","name":"Jiangsu Postdoctoral Research Foundation","doi-asserted-by":"crossref","award":["2020Z100"],"award-info":[{"award-number":["2020Z100"]}],"id":[{"id":"10.13039\/501100010011","id-type":"DOI","asserted-by":"crossref"}]},{"name":"National Science Foundation of the Jiangsu Higher Education Institutions of China","award":["20KJB520002"],"award-info":[{"award-number":["20KJB520002"]}]},{"name":"Suzhou Planning Project of Science and Technology","award":["SNG2020073, SS202023, SYG202024"],"award-info":[{"award-number":["SNG2020073, SS202023, SYG202024"]}]},{"name":"Hong Kong Research Grant Council","award":["GRF 11211519"],"award-info":[{"award-number":["GRF 11211519"]}]},{"name":"Six Talent Peak Project of Jiangsu Province","award":["XYDXX-084"],"award-info":[{"award-number":["XYDXX-084"]}]},{"name":"Tang Scholar of Soochow University and the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), Science and Technology Innovation Committee Foundation of Shenzhen","award":["JCYJ20200109143223052"],"award-info":[{"award-number":["JCYJ20200109143223052"]}]},{"name":"Zhejiang Provincial Natural Science Foundation of China","award":["LZ22F020002"],"award-info":[{"award-number":["LZ22F020002"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Sen. Netw."],"published-print":{"date-parts":[[2023,2,28]]},"abstract":"<jats:p>In order to better assist the rehabilitation treatment of patients with musculoskeletal injury, standard rehabilitation actions are needed to guide the musculoskeletal rehabilitation process. With more and more urgent demands, the musculoskeletal rehabilitation evaluation systems have attracted a high degree of attention. Experts have proposed a series of systems based on laser, ultrasound, and image, which can give reasonable recognition and judgment. However, these systems either require specialized and expensive equipment or can be affected by ionizing radiation. How to construct a musculoskeletal rehabilitation evaluation system with low cost, good effect, and little injury is still a great challenge. In this article, we propose MSEva, a musculoskeletal rehabilitation evaluation system based on EMG signals. Specifically, the system uses EMG sensors to collect a large amount of data for five rehabilitation actions. Secondly, MSEva uses Wavelet Transform (WT) to extract the signal features and then puts the processed data into the Long Short-Term Memory (LSTM) network for model training. Finally, the system uses the LSTM model to evaluate the normality of the EMG response of rehabilitation actions. The results show that the average accuracy of MSEva reaches 94.37%, which has important evaluation value in guiding the rehabilitation of musculoskeletal patients.<\/jats:p>","DOI":"10.1145\/3522739","type":"journal-article","created":{"date-parts":[[2022,3,9]],"date-time":"2022-03-09T20:41:46Z","timestamp":1646858506000},"page":"1-23","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":31,"title":["MSEva: A Musculoskeletal Rehabilitation Evaluation System Based on EMG Signals"],"prefix":"10.1145","volume":"19","author":[{"given":"Yuanchao","family":"Dai","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Soochow University, Gusu District, Suzhou, Jiangsu, China"}]},{"given":"Jing","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, China"}]},{"given":"Yuanzhao","family":"Fan","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Soochow University, Gusu District, Suzhou, Jiangsu, China"}]},{"given":"Jin","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Soochow University, Gusu District, Suzhou, Jiangsu, China"}]},{"given":"Jianwei","family":"Niu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5647-5369","authenticated-orcid":false,"given":"Fei","family":"Gu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Soochow University, Gusu District, Suzhou, Jiangsu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7558-5379","authenticated-orcid":false,"given":"Shigen","family":"Shen","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Shaoxing University, Shaoxing, Zhejiang, China"}]}],"member":"320","published-online":{"date-parts":[[2022,12,8]]},"reference":[{"issue":"10","key":"e_1_3_1_2_2","first-page":"1959","article-title":"Ultrasound evaluation of the acromioclavicular joint.","volume":"24","author":"Alasaarela E.","year":"1997","unstructured":"E. Alasaarela, O. Tervonen, R. Takalo, S. Lahde, and I. Suramo. 1997. Ultrasound evaluation of the acromioclavicular joint.Journal of Rheumatology 24, 10 (1997), 1959\u20131963.","journal-title":"Journal of Rheumatology"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2019.01.007"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00132-018-3637-1"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.5811\/westjem.2013.8.18303"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ultrasmedbio.2017.08.1805"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)32340-0"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1136\/thoraxjnl-2016-209459"},{"key":"e_1_3_1_9_2","first-page":"54","article-title":"Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy","author":"Efron Bradley","year":"1986","unstructured":"Bradley Efron and Robert Tibshirani. 1986. Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. Statistical Science 1, 1 (1986), 54\u201375.","journal-title":"Statistical Science"},{"key":"e_1_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ptsp.2016.11.003"},{"key":"e_1_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12933-016-0487-1"},{"key":"e_1_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-019-01995-1"},{"key":"e_1_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.clineuro.2017.11.003"},{"key":"e_1_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1097\/PRS.0000000000007730"},{"key":"e_1_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1186\/1475-925X-10-60"},{"key":"e_1_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0924-980X(96)96554-6"},{"key":"e_1_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1117\/1.JBO.24.8.080901"},{"key":"e_1_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/0306-9877(91)90233-O"},{"key":"e_1_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1002\/jum.15181"},{"key":"e_1_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1080\/07421222.2018.1451957"},{"key":"e_1_3_1_21_2","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2017.00370"},{"key":"e_1_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2833868"},{"key":"e_1_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-017-5016-4"},{"key":"e_1_3_1_24_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1466-8238.2007.00358.x"},{"key":"e_1_3_1_25_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00198-019-05212-2"},{"key":"e_1_3_1_26_2","doi-asserted-by":"publisher","DOI":"10.3928\/23258160-20191031-14"},{"key":"e_1_3_1_27_2","doi-asserted-by":"publisher","DOI":"10.21037\/qims.2018.01.01"},{"key":"e_1_3_1_28_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLC.2017.8108947"},{"key":"e_1_3_1_29_2","doi-asserted-by":"publisher","DOI":"10.1097\/MCO.0000000000000088"},{"key":"e_1_3_1_30_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-020-2145-8"},{"key":"e_1_3_1_31_2","doi-asserted-by":"publisher","DOI":"10.1136\/acupmed-2017-011568"},{"key":"e_1_3_1_32_2","doi-asserted-by":"publisher","DOI":"10.1186\/s13054-018-1989-x"},{"key":"e_1_3_1_33_2","doi-asserted-by":"publisher","DOI":"10.1177\/0954411917737329"},{"key":"e_1_3_1_34_2","doi-asserted-by":"publisher","DOI":"10.1054\/jpai.2001.19951"},{"issue":"5","key":"e_1_3_1_35_2","first-page":"785","article-title":"Comprehensive evaluation of finger flexor tendon entheseal soft tissue and bone changes by ultrasound can differentiate psoriatic arthritis and rheumatoid arthritis","volume":"36","author":"Tinazzi Ilaria","year":"2018","unstructured":"Ilaria Tinazzi, Dennis McGonagle, Alen Zabotti, Donatella Chessa, Antonio Marchetta, and Pierluigi Macchioni. 2018. Comprehensive evaluation of finger flexor tendon entheseal soft tissue and bone changes by ultrasound can differentiate psoriatic arthritis and rheumatoid arthritis. Clinical and Experimental Rheumatology 36, 5 (2018), 785\u2013790.","journal-title":"Clinical and Experimental Rheumatology"},{"key":"e_1_3_1_36_2","doi-asserted-by":"publisher","DOI":"10.1145\/3371041.3371045"},{"key":"e_1_3_1_37_2","doi-asserted-by":"publisher","DOI":"10.17705\/1jais.00694"},{"key":"e_1_3_1_38_2","doi-asserted-by":"publisher","DOI":"10.1080\/07421222.2019.1598692"},{"key":"e_1_3_1_39_2","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2019190218"},{"key":"e_1_3_1_40_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.burns.2017.08.004"},{"key":"e_1_3_1_41_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0304-3959(97)00103-6"},{"key":"e_1_3_1_42_2","doi-asserted-by":"publisher","DOI":"10.1111\/aor.13004"},{"key":"e_1_3_1_43_2","doi-asserted-by":"publisher","DOI":"10.1097\/WNP.0000000000000245"}],"container-title":["ACM Transactions on Sensor Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3522739","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3522739","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:16Z","timestamp":1750188616000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3522739"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,8]]},"references-count":42,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,2,28]]}},"alternative-id":["10.1145\/3522739"],"URL":"https:\/\/doi.org\/10.1145\/3522739","relation":{},"ISSN":["1550-4859","1550-4867"],"issn-type":[{"value":"1550-4859","type":"print"},{"value":"1550-4867","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,8]]},"assertion":[{"value":"2021-08-04","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-02-25","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-12-08","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}