{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/wearable-to-detect-electromyographic-changes","title":"Wearable to detect electromyographic changes in the trapezius muscle due to improper posture while sitting for long periods of time","arxiv_id":null,"date":"2023-07-10","proceeding":"IEEE 2023 7","authors":["Ana Paula Alejos","Mauricio Castillo","Manuel Hernandez","Astrid Moran","Sebastian Rodriguez","Alvaro Sevilla"],"abstract":"Poor posture is one of the main causes of back\r\npain, to the extent that maintaining this habit for a long time\r\ncan lead to structural changes in the back and neck, even\r\nresulting in muscular deformation due to their weakening. Good\r\nposture is characterized by ensuring stable balance, low energy\r\nconsumption, and minimal stress on anatomical structures, with\r\na focus on the trapezius muscle for analysis.\r\nThe trapezius muscle, located in the back, plays an important\r\nrole in maintaining upright posture and is involved in movements\r\nsuch as lateral flexion and rotation of the head, as well as shoulder\r\nelevation and depression. Electromyography is used to measure\r\nits activity, which evaluates the bioelectrical activity generated\r\nduring muscle contractions. In this project, electromyography\r\nis used in its superficial mode to observe the behavior of the\r\ntransversalis portion of the trapezius muscle, as it controls a\r\nsignificant part of cervical and dorsal movement.\r\nThe objective of this project is to develop a wearable proto-\r\ntype to detect electromyographic patterns caused by incorrect\r\nsitting posture for extended periods. This will be achieved using\r\nresources such as 3D printing and an ESP32 microcontroller.\r\nSome of the parameters evaluated to detect muscle fatigue\r\ninclude peak-to-peak amplitude, which is expected to increase\r\ndue to muscle compensation through recruiting additional motor\r\nunits. The mean and median of the frequency spectrum are also\r\nanalyzed, along with the conduction velocity of muscle fibers,\r\nwhich decreases during fatigue and affects the frequency of the\r\nelectromyographic signal.","url_abs":"https://drive.google.com/file/d/1pJSsxP29SdjVm_bgVwPTlk5WUSW6UUnO/view?usp=sharing","url_pdf":"https://drive.google.com/file/d/1pJSsxP29SdjVm_bgVwPTlk5WUSW6UUnO/view?usp=sharing","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"wearable-to-detect-electromyographic-changes","repo_url":"https://github.com/MauricioCastilloT/Intro-SenalesG8/blob/main/README.md","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[{"method_slug":"focus","method_name":"Focus"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}