Smart Home-based Technology to Promote Functional Mobility Among Individuals With Parkinson's Disease

May 16, 2022 updated by: Galit Yogev-Seligmann, University of Haifa
Many patients with Parkinson's disease suffer of gait disorder termed as "freezing of gait" (FOG). non-pharmacological approach such as applying external cues is effective in mitigating FOG events. The aim of this study is to test the feasibility and patients satisfaction from a first stage of technology development, designed to deliver automatically external cues to the patients in their homes.

Study Overview

Status

Recruiting

Conditions

Detailed Description

People with Parkinson's disease (PwP) may experience severe difficulties in mobility that negatively affect their function and Quality of life. Freezing of gait, (FOG) is a brief and sudden inability to initiate walking or move forward, despite an intention to walk. Such episodes are often observed when PwP attempt to turn, cross a narrow space or negotiate obstacles. Rehabilitation interventions for FOG represent the most effective non-pharmacological approach to maintain functional independence and reduce the risk of falls. A key approach is the provision of external cues, defined as sensory stimuli, which facilitate gait initiation and continuation. These external cues are suggested to bypass the dysfunctional movement pathways in the basal ganglia and therefore, are considered effective in alleviating FOG. Cueing can be applied by different modalities; the most common are visual (e.g. spaced lines on the floor) and auditory (e.g. rhythmic metronome beats).

The term smart-home refers to a range of technologies that are designed for and deployed in individual residences, and are equipped with non-invasive, environmental, and physiological sensors. The concept of a "health smart-home" is a variation of smart-home with a focus on assistive technologies to enable the independence and wellness of residents, including the elderly and patients in supervised residences.

In this study, the investigators will be testing the first phase of developing a smart-home technology designed for patients coping with PD to use in their homes and aims to improve gait and assist in prevention of FOG. The aims of this exploratory study are to evaluate the 1) practical feasibility of the technology, 2) patient satisfaction and 3) the effect of the technology on gait. The device was developed by Selfit medical© and included application of light stripes (visual cues) and metronome beats (auditory cues) that are individually adjusted to the participant walking parameters.

Study Type

Observational

Enrollment (Anticipated)

30

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • Please Select...
      • Haifa, Please Select..., Israel, 3498838
        • Recruiting
        • Galit Yogev-Seligmann
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Poeple diagnosed with Parkinson's disease, living in the community

Description

Inclusion Criteria:

  • Patient is able to walk independently
  • The patient report on daily episodes of FOG as indicated by question #2 in the new FOG questionnaire ("How frequently do you experience freezing episodes?").
  • Score>18 on the Telephone Version of the Mini-Mental State Examination (TMMSE)
  • Intact hearing and vision by self-declaration

Exclusion criteria

• The patient suffer of any neurological condition other than Parkinson's disease.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Effect of smart-home technology on step length (cm)
Time Frame: through study completion, an average of 1 year

Step length (cm) is assessed during the three walking conditions in order to evaluate the effect of the cueing (visual and auditory) applied on gait.

Data is collected by the Kinect sensor.

through study completion, an average of 1 year
Effect of smart-home technology on step time (sec) are
Time Frame: Through study completion, an average of 1 year

Step time (sec) is assessed during the three walking conditions in order to evaluate the effect of the cueing (visual and auditory) applied on gait.

Data is collected by the Kinect sensor.

Through study completion, an average of 1 year
Feasibility and participants' satisfaction semi-structured interview
Time Frame: through study completion, an average of 1 year

Following the walking session, participants answered questions in a semi-structured interview:

  1. Did you see the light stripes clearly? (Yes/no)
  2. Did you experience any discomfort while walking over the stripes? For example, did you feel dazzled?
  3. Did you feel any change in your walking while using the light stripes? (Yes/no)
  4. If you did feel any change, can you describe it in your own words?
  5. Try to evaluate the magnitude of change in walking using the following visual scale (ranging from -5 to 5 will be presented to the particpants, -5 represent "Much worse", 0 represent "No change" and 5 represent "Much better)
  6. Do you think that the light stripes would be effective for avoiding FOGs? Yes/No/ Maybe The same six questions are then asked about the metronome beats
  7. Would you like to have such technology installed at your home?
  8. If, yes, which kind of cues would you prefer (light stripe/ metronome)?
  9. Do you have any suggestion for improvement?
through study completion, an average of 1 year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Galit Yogev-Seligmann, PhD, University of Haifa

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

December 12, 2021

Primary Completion (Anticipated)

March 30, 2023

Study Completion (Anticipated)

June 30, 2023

Study Registration Dates

First Submitted

January 2, 2022

First Submitted That Met QC Criteria

January 14, 2022

First Posted (Actual)

January 27, 2022

Study Record Updates

Last Update Posted (Actual)

May 17, 2022

Last Update Submitted That Met QC Criteria

May 16, 2022

Last Verified

May 1, 2022

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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