{"id":{"repo_id":"njit","oai_identifier":"oai:digitalcommons.njit.edu:theses-1486"},"canonical_url":"https://search.dev.ndltd.org/etd/njit/oai:digitalcommons.njit.edu:theses-1486","repository":{"repo_id":"njit","name":"NJIT","base_url":"https://digitalcommons.njit.edu/do/oai/"},"display":{"title":"Analysis of acceleration and deceleration during cyclic exercise","abstract":"The Cyclic Exercise Protocol is a novel protocol that is designed to create a series of cyclic waves of exercise and recovery. This exercise protocol involves short bursts of exercise lasting for 60 seconds or less followed by a period of complete cardio recovery. This study involves the analysis of the acceleration and the deceleration regions of the cyclic exercise sessions. The objective of this study was to develop an algorithm to quantitatively analyze the acceleration and the deceleration regions of cyclic exercise sessions. The acceleration and the deceleration regions of cycles were split into three segments and each segment was fit with mathematical curves and the variation of data from the fit was calculated. The cycles data was analyzed using Mathematica version 4.1. The subjects for this study were healthy volunteers. The parameters extracted included the time constants and slopes from the mathematical fits and the mean square errors. The mean square error values obtained were less than 14.8 (+/-3.5% error in the variation of the heart rate), showing that the algorithm is creating a proper mathematical fit to the different regions of acceleration and deceleration.","abstract_html":"The Cyclic Exercise Protocol is a novel protocol that is designed to create a series of cyclic waves of exercise and recovery. This exercise protocol involves short bursts of exercise lasting for 60 seconds or less followed by a period of complete cardio recovery. This study involves the analysis of the acceleration and the deceleration regions of the cyclic exercise sessions. The objective of this study was to develop an algorithm to quantitatively analyze the acceleration and the deceleration regions of cyclic exercise sessions. The acceleration and the deceleration regions of cycles were split into three segments and each segment was fit with mathematical curves and the variation of data from the fit was calculated. The cycles data was analyzed using Mathematica version 4.1. The subjects for this study were healthy volunteers. The parameters extracted included the time constants and slopes from the mathematical fits and the mean square errors. The mean square error values obtained were less than 14.8 (+/-3.5% error in the variation of the heart rate), showing that the algorithm is creating a proper mathematical fit to the different regions of acceleration and deceleration.","abstract_has_math":false,"creators":["Vadi, Jeena"],"institution":null,"degree_name":"Master of Science in Biomedical Engineering - (M.S.)","degree_level":null,"degree_discipline":"Biomedical Engineering","degree_department":null,"school":null,"contributors":["Stanley S. Reisman","Ronald H. Rockland","David S. Kristol"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2005,"date_issued":"2005-05-31T07:00:00Z","date_published":"2005-05-31T07:00:00Z","updated_at":"2026-07-24T03:23:22Z","subjects":["Cyclyc exercise protocol","Cardio recovery","Biomedical Engineering and Bioengineering"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://digitalcommons.njit.edu/theses/487","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Stanley S. Reisman","Ronald H. Rockland","David S. Kristol"]},{"key":"dc:creator","label":"Author","values":["Vadi, Jeena"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Biomedical Engineering"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Biomedical Engineering - (M.S.)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Cyclyc exercise protocol","Cardio recovery","Biomedical Engineering and Bioengineering"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://digitalcommons.njit.edu/theses/487"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The Cyclic Exercise Protocol is a novel protocol that is designed to create a series of cyclic waves of exercise and recovery. This exercise protocol involves short bursts of exercise lasting for 60 seconds or less followed by a period of complete cardio recovery. This study involves the analysis of the acceleration and the deceleration regions of the cyclic exercise sessions. The objective of this study was to develop an algorithm to quantitatively analyze the acceleration and the deceleration regions of cyclic exercise sessions. The acceleration and the deceleration regions of cycles were split into three segments and each segment was fit with mathematical curves and the variation of data from the fit was calculated. The cycles data was analyzed using Mathematica version 4.1. The subjects for this study were healthy volunteers. The parameters extracted included the time constants and slopes from the mathematical fits and the mean square errors. The mean square error values obtained were less than 14.8 (+/-3.5% error in the variation of the heart rate), showing that the algorithm is creating a proper mathematical fit to the different regions of acceleration and deceleration."]},{"key":"dc:title","label":"Title","values":["Analysis of acceleration and deceleration during cyclic exercise"]}]}],"canonical_facts":{"dc:contributor":["Stanley S. Reisman","Ronald H. Rockland","David S. Kristol"],"dc:creator":["Vadi, Jeena"],"dc:description.abstract":["The Cyclic Exercise Protocol is a novel protocol that is designed to create a series of cyclic waves of exercise and recovery. This exercise protocol involves short bursts of exercise lasting for 60 seconds or less followed by a period of complete cardio recovery. This study involves the analysis of the acceleration and the deceleration regions of the cyclic exercise sessions. The objective of this study was to develop an algorithm to quantitatively analyze the acceleration and the deceleration regions of cyclic exercise sessions. The acceleration and the deceleration regions of cycles were split into three segments and each segment was fit with mathematical curves and the variation of data from the fit was calculated. The cycles data was analyzed using Mathematica version 4.1. The subjects for this study were healthy volunteers. The parameters extracted included the time constants and slopes from the mathematical fits and the mean square errors. The mean square error values obtained were less than 14.8 (+/-3.5% error in the variation of the heart rate), showing that the algorithm is creating a proper mathematical fit to the different regions of acceleration and deceleration."],"dc:identifier":["https://digitalcommons.njit.edu/theses/487"],"dc:subject":["Cyclyc exercise protocol","Cardio recovery","Biomedical Engineering and Bioengineering"],"dc:title":["Analysis of acceleration and deceleration during cyclic exercise"],"dc:type":["Thesis"],"thesis:degree_discipline":["Biomedical Engineering"],"thesis:degree_name":["Master of Science in Biomedical Engineering - (M.S.)"]},"updated_at":"2026-07-24T03:23:22Z"}