{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T13:17:27Z","timestamp":1720617447886},"reference-count":45,"publisher":"ASME International","issue":"3","license":[{"start":{"date-parts":[[2022,11,15]],"date-time":"2022-11-15T00:00:00Z","timestamp":1668470400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.asme.org\/publications-submissions\/publishing-information\/legal-policies"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CBET 2014278"],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["asmedigitalcollection.asme.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,6,1]]},"abstract":"Abstract<\/jats:title>\n Cerebrovascular accidents like a stroke can affect the lower limb as well as upper extremity joints (i.e., shoulder, elbow, or wrist) and hinder the ability to produce necessary torque for activities of daily living. In such cases, muscles\u2019 ability to generate forces reduces, thus affecting the joint\u2019s torque production. Understanding how muscles generate forces is a key element to injury detection. Researchers have developed several computational methods to obtain muscle forces and joint torques. Electromyography (EMG) driven modeling is one of the approaches to estimate muscle forces and obtain joint torques from muscle activity measurements. Musculoskeletal models and EMG-driven models require necessary muscle-specific parameters for the calculation. The focus of this study is to investigate the EMG-driven approach along with an upper extremity musculoskeletal model to determine muscle forces of two major muscle groups, biceps brachii and triceps brachii, consisting of seven muscle-tendon units. Estimated muscle forces are used to determine the elbow joint torque. Experimental EMG signals and motion capture data are collected for a healthy subject. The musculoskeletal model is scaled to match the geometric parameters of the subject. Then, the approach calculates muscle forces and joint moment for two tasks: simple elbow flexion extension and triceps kickback. Individual muscle forces and net joint torques for both tasks are estimated. The study also has compared the effect of muscle-tendon parameters (optimal fiber length and tendon slack length) on the estimated results.<\/jats:p>","DOI":"10.1115\/1.4056255","type":"journal-article","created":{"date-parts":[[2022,11,15]],"date-time":"2022-11-15T05:09:40Z","timestamp":1668488980000},"update-policy":"http:\/\/dx.doi.org\/10.1115\/crossmarkpolicy-asme","source":"Crossref","is-referenced-by-count":4,"title":["Upper Extremity Joint Torque Estimation Through an Electromyography-Driven Model"],"prefix":"10.1115","volume":"23","author":[{"given":"Shadman","family":"Tahmid","sequence":"first","affiliation":[{"name":"Texas Tech University Human-Centric Design Research Lab, Department of Mechanical Engineering, , Lubbock, TX 79409"}]},{"given":"Josep M.","family":"Font-Llagunes","sequence":"additional","affiliation":[{"name":"Universitat Polit\u00e8cnica de Catalunya Biomechanical Engineering Lab, Department of Mechanical Engineering and Research Centre for Biomedical Engineering, , Barcelona, Catalonia 08034 , Spain ; Health Technologies and Innovation, Institut de Recerca Sant Joan de D\u00e9u, Esplugues de Llobregat, Catalonia, Spain"}]},{"given":"James","family":"Yang","sequence":"additional","affiliation":[{"name":"Texas Tech University Human-Centric Design Research Lab, Department of Mechanical Engineering, , Lubbock, TX 79409"}]}],"member":"33","published-online":{"date-parts":[[2022,12,9]]},"reference":[{"issue":"3","key":"2023120911400149600_CIT0001","doi-asserted-by":"publisher","first-page":"031009","DOI":"10.1115\/1.4053149","article-title":"Design of Customized Virtual Reality Serious Games for the Cognitive Rehabilitation of Retrograde Amnesia After Brain Stroke","volume":"22","author":"Lanzoni","year":"2022","journal-title":"ASME J. 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