{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/80022"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/80022","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"Quantifying Muscle Fatigue for Hypertrophy Based Exercise Using a Time Constant","abstract":"M.S.","abstract_html":"M.S.","abstract_has_math":false,"creators":["Karkera, Nidhi"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Stefanovic, Filip","Biomedical Engineering"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-07-30T15:11:54Z","date_published":"2019-07-30T15:11:54Z","updated_at":"2026-07-27T19:05:23Z","subjects":["biomedical engineering"],"languages":["eng"],"rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10477/80022","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Stefanovic, Filip","Biomedical Engineering"]},{"key":"dc:creator","label":"Author","values":["Karkera, Nidhi"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-07-30T15:11:54Z","2019","2019-05-17 11:23:54"]},{"key":"dc:publisher","label":"Institution","values":["State University of New York at Buffalo"]},{"key":"dc:type","label":"Dc Type","values":["Text","Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["biomedical engineering"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10477/80022"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["M.S.","Muscle fatigue is the main reason that affects different types of movement applications such as in post-stroke therapy to exercise. Fatigue limits movement, impedes functionality in the limbs and is manifested as weakness which limits an individual from carrying out day to day activities. Therapeutic treatment and recovery in muscular dysfunction following a disease or injury is often evaluated qualitatively by health professionals. As such, quantitative measures to evaluate muscle performance, and changes in muscle performance over-time for clinical applications are not currently available. Notably, there are limited studies that quantifies the muscle fatigue changes with regular exercise. In this study, the aim is to quantify muscle fatigue by examining Electromyograms of healthy individuals who are subjected to a long term, periodic hypertrophy based exercise routines using a consistent load. It will be demonstrated that a time-constant can be constructed to measure progress of muscle activity based on the exercise. The goal is to develop a quantifiable measure that can classify fatigue over a short term and long term basis to further understand how it manifests and changes over time. Also, it is of interest to compare and study the change in muscle performance of different individuals following the same exercise routine. Furthermore, the future scope of the obtained muscle performance data is to develop a muscle performance metric that can be used to optimize therapeutic interventions and to design tailor made therapies for hitting performance goals based on exercise strategies."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Quantifying Muscle Fatigue for Hypertrophy Based Exercise Using a Time Constant"]}]}],"canonical_facts":{"dc:contributor":["Stefanovic, Filip","Biomedical Engineering"],"dc:creator":["Karkera, Nidhi"],"dc:date":["2019-07-30T15:11:54Z","2019","2019-05-17 11:23:54"],"dc:description":["M.S.","Muscle fatigue is the main reason that affects different types of movement applications such as in post-stroke therapy to exercise. Fatigue limits movement, impedes functionality in the limbs and is manifested as weakness which limits an individual from carrying out day to day activities. Therapeutic treatment and recovery in muscular dysfunction following a disease or injury is often evaluated qualitatively by health professionals. As such, quantitative measures to evaluate muscle performance, and changes in muscle performance over-time for clinical applications are not currently available. Notably, there are limited studies that quantifies the muscle fatigue changes with regular exercise. In this study, the aim is to quantify muscle fatigue by examining Electromyograms of healthy individuals who are subjected to a long term, periodic hypertrophy based exercise routines using a consistent load. It will be demonstrated that a time-constant can be constructed to measure progress of muscle activity based on the exercise. The goal is to develop a quantifiable measure that can classify fatigue over a short term and long term basis to further understand how it manifests and changes over time. Also, it is of interest to compare and study the change in muscle performance of different individuals following the same exercise routine. Furthermore, the future scope of the obtained muscle performance data is to develop a muscle performance metric that can be used to optimize therapeutic interventions and to design tailor made therapies for hitting performance goals based on exercise strategies."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10477/80022"],"dc:language":["eng"],"dc:publisher":["State University of New York at Buffalo"],"dc:rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"dc:subject":["biomedical engineering"],"dc:title":["Quantifying Muscle Fatigue for Hypertrophy Based Exercise Using a Time Constant"],"dc:type":["Text","Thesis"]},"updated_at":"2026-07-27T19:05:23Z"}