{"id":{"repo_id":"otago-polytech","oai_identifier":"oai:null:10652/5985"},"canonical_url":"https://search.dev.ndltd.org/etd/otago-polytech/oai:null:10652/5985","repository":{"repo_id":"otago-polytech","name":"Otago Polytechnic","base_url":"https://www.researchbank.ac.nz/server/oai/request"},"display":{"title":"Can long-term musculoskeletal, spinal pain improve with movement education using SEMG biofeedback?","abstract":"The research explained the impact of using surface electromyography (SEMG) as a biofeedback tool to improve long-term musculoskeletal, spinal pain. The study aimed to understand the impact of using SEMG within the context of biofeedback rehabilitation of musculoskeletal pain. Methods/Methodology: the project utilised a Phenomenological paradigm and an Action Research methodology/framework of investigation, action and reflection. The data collection included mixed methods of SEMG recordings, pain questionnaire, well-being scale and participant self-assessment. There were nine participants in the study, eight female and one male; the mean age of participants was 54 years. All participants had been undertaking rehabilitative training for a minimum of three years; however, all have some minimal to moderate musculoskeletal, spinal pain remaining. The findings confirmed that using SEMG as a biofeedback modality in treating long-term musculoskeletal, spinal pain is beneficial. SEMG biofeedback is extremely helpful to people suffering from musculoskeletal, spinal pain. SEMG biofeedback enables individuals to discover activities at home, work and in the gym which cause them muscular stress, which they did not know. SEMG biofeedback encourages learning new movements, altering and training new neural pathways, and enabling greater muscular control. In addition, an improvement in muscular awareness from SEMG biofeedback correlates with improved back pain. Musculoskeletal pain is multifactorial. Pain can have multiple causes, including poor sleep, emotional stress, depression, anxiety, and low muscular and physical awareness. This study has improved the user experience for SEMG devices by providing real-time data analysis software.","abstract_html":"The research explained the impact of using surface electromyography (SEMG) as a biofeedback tool to improve long-term musculoskeletal, spinal pain. The study aimed to understand the impact of using SEMG within the context of biofeedback rehabilitation of musculoskeletal pain. Methods/Methodology: the project utilised a Phenomenological paradigm and an Action Research methodology/framework of investigation, action and reflection. The data collection included mixed methods of SEMG recordings, pain questionnaire, well-being scale and participant self-assessment. There were nine participants in the study, eight female and one male; the mean age of participants was 54 years. All participants had been undertaking rehabilitative training for a minimum of three years; however, all have some minimal to moderate musculoskeletal, spinal pain remaining. The findings confirmed that using SEMG as a biofeedback modality in treating long-term musculoskeletal, spinal pain is beneficial. SEMG biofeedback is extremely helpful to people suffering from musculoskeletal, spinal pain. SEMG biofeedback enables individuals to discover activities at home, work and in the gym which cause them muscular stress, which they did not know. SEMG biofeedback encourages learning new movements, altering and training new neural pathways, and enabling greater muscular control. In addition, an improvement in muscular awareness from SEMG biofeedback correlates with improved back pain. Musculoskeletal pain is multifactorial. Pain can have multiple causes, including poor sleep, emotional stress, depression, anxiety, and low muscular and physical awareness. This study has improved the user experience for SEMG devices by providing real-time data analysis software.","abstract_has_math":false,"creators":["Ellis, Rowan"],"institution":"Otago Polytechnic","degree_name":"Master of Professional Practice","degree_level":"Masters","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2021,"date_issued":"2021","date_published":"2021","updated_at":"2026-07-27T20:28:28Z","subjects":["New Zealand","flexion relaxation","musculoskeletal pain","surface electromyographic assisted stretching","biofeedback"],"languages":["en"],"rights":["Attribution-NonCommercial-NoDerivatives 4.0 International"],"rights_urls":["http://creativecommons.org/licenses/by-nc-nd/4.0/"],"identifier_entries":[{"key":"dc:identifier.doi","label":"DOI","values":["https://doi.org/10.34074/thes.5985"],"render_values":[{"text":"https://doi.org/10.34074/thes.5985","href":"https://doi.org/10.34074/thes.5985","code":true}]}]},"links":{"outbound_url":"https://hdl.handle.net/10652/5985","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Ellis, Rowan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2023-05-29T21:22:10Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2023-05-29T21:22:10Z"]},{"key":"dc:date.issued","label":"Date","values":["2021"]},{"key":"dc:type","label":"Dc Type","values":["Masters Thesis"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Professional Practice"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Otago Polytechnic"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["New Zealand","flexion relaxation","musculoskeletal pain","surface electromyographic assisted stretching","biofeedback"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Attribution-NonCommercial-NoDerivatives 4.0 International"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://creativecommons.org/licenses/by-nc-nd/4.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.doi","label":"DOI","values":["https://doi.org/10.34074/thes.5985"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10652/5985"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The research explained the impact of using surface electromyography (SEMG) as a biofeedback tool to improve long-term musculoskeletal, spinal pain. The study aimed to understand the impact of using SEMG within the context of biofeedback rehabilitation of musculoskeletal pain. Methods/Methodology: the project utilised a Phenomenological paradigm and an Action Research methodology/framework of investigation, action and reflection. The data collection included mixed methods of SEMG recordings, pain questionnaire, well-being scale and participant self-assessment. There were nine participants in the study, eight female and one male; the mean age of participants was 54 years. All participants had been undertaking rehabilitative training for a minimum of three years; however, all have some minimal to moderate musculoskeletal, spinal pain remaining. The findings confirmed that using SEMG as a biofeedback modality in treating long-term musculoskeletal, spinal pain is beneficial. SEMG biofeedback is extremely helpful to people suffering from musculoskeletal, spinal pain. SEMG biofeedback enables individuals to discover activities at home, work and in the gym which cause them muscular stress, which they did not know. SEMG biofeedback encourages learning new movements, altering and training new neural pathways, and enabling greater muscular control. In addition, an improvement in muscular awareness from SEMG biofeedback correlates with improved back pain. Musculoskeletal pain is multifactorial. Pain can have multiple causes, including poor sleep, emotional stress, depression, anxiety, and low muscular and physical awareness. This study has improved the user experience for SEMG devices by providing real-time data analysis software."]},{"key":"dc:title","label":"Title","values":["Can long-term musculoskeletal, spinal pain improve with movement education using SEMG biofeedback?"]}]}],"canonical_facts":{"dc:creator":["Ellis, Rowan"],"dc:date.accessioned":["2023-05-29T21:22:10Z"],"dc:date.available":["2023-05-29T21:22:10Z"],"dc:date.issued":["2021"],"dc:description.abstract":["The research explained the impact of using surface electromyography (SEMG) as a biofeedback tool to improve long-term musculoskeletal, spinal pain. The study aimed to understand the impact of using SEMG within the context of biofeedback rehabilitation of musculoskeletal pain. Methods/Methodology: the project utilised a Phenomenological paradigm and an Action Research methodology/framework of investigation, action and reflection. The data collection included mixed methods of SEMG recordings, pain questionnaire, well-being scale and participant self-assessment. There were nine participants in the study, eight female and one male; the mean age of participants was 54 years. All participants had been undertaking rehabilitative training for a minimum of three years; however, all have some minimal to moderate musculoskeletal, spinal pain remaining. The findings confirmed that using SEMG as a biofeedback modality in treating long-term musculoskeletal, spinal pain is beneficial. SEMG biofeedback is extremely helpful to people suffering from musculoskeletal, spinal pain. SEMG biofeedback enables individuals to discover activities at home, work and in the gym which cause them muscular stress, which they did not know. SEMG biofeedback encourages learning new movements, altering and training new neural pathways, and enabling greater muscular control. In addition, an improvement in muscular awareness from SEMG biofeedback correlates with improved back pain. Musculoskeletal pain is multifactorial. Pain can have multiple causes, including poor sleep, emotional stress, depression, anxiety, and low muscular and physical awareness. This study has improved the user experience for SEMG devices by providing real-time data analysis software."],"dc:identifier.doi":["https://doi.org/10.34074/thes.5985"],"dc:identifier.uri":["https://hdl.handle.net/10652/5985"],"dc:language.iso":["en"],"dc:rights":["Attribution-NonCommercial-NoDerivatives 4.0 International"],"dc:rights.uri":["http://creativecommons.org/licenses/by-nc-nd/4.0/"],"dc:subject":["New Zealand","flexion relaxation","musculoskeletal pain","surface electromyographic assisted stretching","biofeedback"],"dc:title":["Can long-term musculoskeletal, spinal pain improve with movement education using SEMG biofeedback?"],"dc:type":["Masters Thesis"],"thesis:degree_level":["Masters"],"thesis:degree_name":["Master of Professional Practice"],"thesis:institution_name":["Otago Polytechnic"]},"updated_at":"2026-07-27T20:28:28Z"}