Accessing Mobility Using Wearable Sensors

NCT ID: NCT04306588

Last Updated: 2025-08-27

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

WITHDRAWN

Clinical Phase

PHASE1/PHASE2

Study Classification

INTERVENTIONAL

Study Start Date

2018-05-21

Study Completion Date

2025-12-30

Brief Summary

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This study will examine whether wearable sensors can be used to track changes in cognitive-motor performance in response to a disease or an intervention.

The investigators specific aims are twofold, first aim to explore whether and how a clinical condition such as Chronic obstructive pulmonary disease (COPD) or Congestive Heart Failure (CHF) may impact motor-cognitive performance measurable using validated wearable devices (e.g., LEGSys, BalanSENS, and Frailty Meter). Second, the investigators will explore whether an exercise intervention provided via tele-medicine (tele-rehabilitation) can enhance motor-cognitive performance.

Detailed Description

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The investigators specific research questions: (1) Which motor-cognitive parameters measurable by wearable sensors (e.g. gait, balance, frailty index, etc) are linked to specific diseases (e.g. COPD, CHF) (2) Which motor-cognitive parameters are most responsive to identify changes in patients ambulatory performance related to Tele-rehabilitation

The investigators will recruit a minimum of 15 per clinical condition with a maximum of 150 per clinical condition in subjects suffering from different disorders, which may impact motor-cognitive. Targeted disorders: COPD and CHF. Other chronic illness may also be recruited such as Diabetes, Peripheral Arterial Disease, Morbus Parkinson, Cancer, Neuropathy, Frailty, Mild Cognitive Impairment, Depression, and patients undergoing major surgical intervention. Fifteen or more people with the same disorder would form a group.

The investigators will measure motor-cognitive performance from each subject. For this purpose several sensors will be attached to the body using elastic straps. Each subject will be asked to dedicate approximately 1 hour of their time for each visit. A series of health related questionnaires will be used to evaluate the quality of life, clinical problems, cognition, and pain intensity levels, respectively. Medical history (from the subject's chart) and demographic information will be obtained.

This study consists of Core and Ancillary Measurements. Core Measurements (Motor cognitive test) will be performed during all visits whereas Ancillary Measurements may not be required for anyone.

If the subject is undergoing tele-rehabilitation intervention, which may also benefit functional status (e.g. improvement in balance), the investigators will re-examine motor-cognitive performance using the test described above to evaluate the sensitivity of the proposed test in tracking outcomes in response to the intervention or predict outcomes based on baseline assessments. Specifically, depending on the type of intervention and frequency of standard of care visits for follow-up at the clinic, the investigators may re-assess functional performance at each follow-up standard of care visit, upon the availability of the subject. Please note that the number of follow up visits will not exceed 12 visits over the course of 12 months.

Conditions

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COPD Pulmonary Disease Pulmonary Restrictive Disease Congestive Heart Failure Cardiovascular Diseases

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

SCREENING

Blinding Strategy

NONE

Study Groups

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Tele-rehabilitation exercise Group

Participants who are suffering from a chronic illness such as COPD or CHF and are referred for tele-rehabilitation intervention at the VA-Houston will be qualified for the purpose of this study.

Group Type EXPERIMENTAL

Exercise

Intervention Type OTHER

Participants are undergoing a 12 weeks tele-rehabilitation program.

Interventions

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Exercise

Participants are undergoing a 12 weeks tele-rehabilitation program.

Intervention Type OTHER

Other Intervention Names

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Tele-rehabilitation

Eligibility Criteria

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Inclusion Criteria

* Any individual 18 years old or 65+ older is eligible to participate.
* Must be diagnosed with a chronic illness such as COPD or CHF.
* Should be refereed to one of the tele-rehabilitation program offered at VA-Houston.

The investigators will be enrolling veteran subjects

Exclusion Criteria

* Non-ambulatory (unable to walk with or without assistance a distance of at least 10 meter).
* Unlikely to fully comply with the protocol (e.g., long-distance travel if multiple follow-up visits are required)
* Unwilling to provide informed consent.
* Severe visual and hearing problems who may not be able to interact with tele-rehabilitation.
* Unstable medical region (those who may change medication over next 12 weeks).
* Severe cognitive impairment and psychiatric problems who may not be able to follow tele-rehabilitation instructions based on judgement of clinical investigators.
* Participating in another active intervention that may affect cognitive-motor performance, and those who do not have capacity to consent.

The investigators will not exclude patients with internal devices such as a deep brain stimulator or electronic devices for pain management, but the investigators will not be placing Bioharness device in people with such conditions.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Michael E. DeBakey VA Medical Center

FED

Sponsor Role collaborator

Baylor College of Medicine

OTHER

Sponsor Role lead

Responsible Party

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Bijan Najafi, PhD

Professor of Surgery

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Bijan Najafi, PhD

Role: PRINCIPAL_INVESTIGATOR

Baylor College of Medicine

Locations

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Michael E. DeBakey Veterans Affairs Medical Center

Houston, Texas, United States

Site Status

Countries

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United States

Other Identifiers

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40765

Identifier Type: -

Identifier Source: org_study_id

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