[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100595565":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":21,"centralContacts":26,"locations":35,"responsibleParty":51,"collaborators":54,"id":57,"slug":58,"hasResults":59,"nctId":60,"briefTitle":61,"officialTitle":62,"acronym":20,"eligibilityCriteria":63,"healthyVolunteers":59,"sex":64,"minAge":65,"maxAge":66,"enrollmentInfo":67,"targetDuration":20,"studyType":70,"phases":71,"briefSummary":73,"conditions":74,"keywords":76,"overallStatus":37,"whyStopped":20,"lastUpdateSubmitDate":79,"lastUpdatePostDateStruct":80,"startDateStruct":83,"completionDateStruct":85,"leadSponsor":87,"locationsCount":88},{"fullName":5,"class":6},"Bangladesh University of Engineering and Technology","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Experimental Group - Walking Modalities Comparison","EXPERIMENTAL","This arm will involve stroke patients who undergo all three walking modalities (Overground Walking, Self-Paced Treadmill, and Body-Weight Supported Treadmill) in a counterbalanced order. Each patient will perform all modalities, and the spatiotemporal gait parameters such as stride length, cadence, and gait speed will be measured for analysis. The primary goal is to compare gait parameter variability and reliability across different walking conditions, assessing the effect of each modality on stroke rehabilitation.",[13],"Diagnostic Test: Gait Analysis",[15],{"type":16,"name":17,"description":18,"armGroupLabels":19,"otherNames":20},"DIAGNOSTIC_TEST","Gait Analysis","* Overground Walking: Stroke patients walk in a natural environment, collecting data on their gait parameters such as stride length, cadence, and gait speed.\n* Treadmill: Patients walk on a treadmill at their comfortable pace, allowing for more control over their walking speed while measuring the same gait parameters as in overground walking.\n* Body-Weight Supported Treadmill: Patients walk on a treadmill with a body-weight support system that reduces the load on the legs, enabling patients with more severe impairment to perform walking tasks safely while recording gait parameters.",[9],null,[22],{"name":23,"affiliation":24,"role":25},"Muhammad Tarik Arafat, PhD","Department of Biomedical Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka - 1205.","PRINCIPAL_INVESTIGATOR",[27,31],{"name":23,"role":28,"phone":29,"phoneExt":20,"email":30},"CONTACT","01911764467","tarikarafat@bme.buet.ac.bd",{"name":32,"role":28,"phone":33,"phoneExt":20,"email":34},"Mehedi Hasan Prince, B.Sc.","+8801745676375","mhprince.bme@gmail.com",[36],{"facility":5,"status":37,"city":38,"state":20,"zip":39,"country":40,"countryCode":41,"cosmosGeoPoint":42,"geoPoint":47,"contacts":48},"RECRUITING","Dhaka","1000","Bangladesh","BD",{"type":43,"coordinates":44},"Point",[45,46],90.40744,23.7104,{"lat":46,"lon":45},[49],{"name":23,"role":28,"phone":50,"phoneExt":20,"email":30},"+88 01911764467",{"type":25,"investigatorFullName":52,"investigatorTitle":53,"investigatorAffiliation":5,"oldNameTitle":20,"oldOrganization":20},"Muhammad Tarik Arafat","Professor",[55],{"name":56,"class":6},"Dhaka Medical College","100595565","spatiotemporal-gait-parameters-of-healthy-and-stroke-patients-during-overground-treadmill-and-body-weight-supported-treadmill-walking-100595565",false,"NCT07034105","Spatiotemporal Gait Parameters of Healthy and Stroke Patients During Overground, Treadmill, and Body Weight Supported Treadmill Walking","Variability in Spatiotemporal Gait Parameters of Stroke Patients Across Overground, Self Paced Treadmill, and Body-Weight Supported Treadmill Walking","Inclusion Criteria:\n\n* Participants must be between 18 to 75 years old.\n* More than 1- month post stroke patient.\n* Participants must be able to walk with or without assistance.\n* Patients including both the male and female.\n* Participants must be able to provide informed consent to participate in the study.\n\nExclusion Criteria:\n\n* Severe cognitive or communicative disorders.\n* Significant joint malposition.\n* Psychological, cognitive dysfunction, and any other neuromuscular problem.\n* Pregnant women will be excluded to avoid any potential risks to the mother and fetus.\n* Unstable cardiovascular disease like congenital heart disease, deep vein thrombosis, coronary heart disease, previous history of heart attack or heart failure.","ALL","18 Years","75 Years",{"count":68,"type":69},25,"ESTIMATED","INTERVENTIONAL",[72],"NA","Gait impairments following a stroke significantly hinder mobility and quality of life, emphasizing the need for precise assessment methods to guide effective rehabilitation strategies. This study evaluates the variability and reliability of spatiotemporal gait parameters across three walking modalities: overground walking, treadmill walking, and body-weight-supported treadmill walking. Using a counterbalanced design, all participants undergo gait analysis in each modality to ensure unbiased and reliable comparisons.\n\nThe study also incorporates a locally developed, cost-effective Body Weight Support System (BWSS) to address the limitations of accessibility in resource-constrained settings. By identifying how different modalities influence gait variability and reliability, this research aims to optimize rehabilitation outcomes and demonstrate the feasibility of implementing affordable gait analysis tools in clinical practice.",[75],"Gait Impairment in Stroke Patients",[17,77,78],"Spatiotemporal Parameters","Body Weight Support System (BWSS)","2025-06-14",{"date":81,"type":82},"2025-06-24","ACTUAL",{"date":84,"type":82},"2024-06-12",{"date":86,"type":69},"2026-02-11",{"name":5,"class":6},1]