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Status unknownNCT05211687Updated May 17, 2022

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

An observational study in Parkinson Disease, sponsored by University of Haifa. Status unknown at 1 site in Israel. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2022-05-17.

Sponsored by University of Haifa · Observational

The sponsor has not verified this record recently (last verified May 2022), so the status shown — last known as Recruiting — may be out of date.
Study type
Observational
Model
Cohort
Time perspective
Cross-sectional
Enrollment
30
Ages
18 Years and older
Sex
All
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Study summary

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.

Read the 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.

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Conditions studied

  • Parkinson Disease

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Keywords

  • parkinson's disease
  • Freezing of gait
  • Smart-home
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In context

Parkinson Disease

4,488 studies on the registry are indexed under Parkinson Disease; 1,083 are open to participants now.

This study's planned enrollment of 30 is below the median of 96 across 1,057 observational studies indexed under Parkinson Disease.

Browse Parkinson Disease studies →

Lead sponsor

University of Haifa is the lead sponsor of 101 studies on the registry; 25 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

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

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

Exclusion criteria

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

Observational model
Cohort
Time perspective
Cross-sectional
Enrollment
30 participants (estimated)
Patient registry
No

Interventions

  • OtherSmart-home for freezing of gait

    A projector, Kinect camera and computer are located 2 meters from the walking area. Participants walk nine times back and forth on the walking track, in each of three walking conditions: 1. Baseline: participants walk in a comfortable pace. The walking track consist a rectangle created by a white light projected on the floor. Based on in this walking condition, step width and cadence are calculated to determine the individual parameters of the cueing. 2. Light-stripes: The walking area consist of 4-5 white light-stripes. Space between the stripes is 110% of the participant step length. Participants are instructed to walk over the stripes. 3. Metronome: The walking track consist of a rectangle created by a white light projected on the floor, and in addition metronome beats are delivered by the computer. Beats frequency are 90% of the cadence. Participants are instructed to match their steps to the metronome beats. Each walking condition up to 90 seconds.

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What researchers measure

Primary outcomes

  1. Effect of smart-home technology on step length (cm)

    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.

    Time frame: through study completion, an average of 1 year

  2. Effect of smart-home technology on step time (sec) are

    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.

    Time frame: Through study completion, an average of 1 year

  3. Feasibility and participants' satisfaction semi-structured interview

    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?

    Time frame: through study completion, an average of 1 year

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Study locations

1 of 1 sites recruiting
  • Galit Yogev-Seligmann
    Haifa, Please Select... 3498838, Israel
    Recruiting
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References and documents

Publications

  • Nieuwboer A, Rochester L, Herman T, Vandenberghe W, Emil GE, Thomaes T, Giladi N. Reliability of the new freezing of gait questionnaire: agreement between patients with Parkinson's disease and their carers. Gait Posture. 2009 Nov;30(4):459-63. doi: 10.1016/j.gaitpost.2009.07.108. Epub 2009 Aug 5. PubMed 19660949 ↗
  • Keus HSJ, Munneke M, G. M. et al. European Physiotherapy Guidline for Parkinson's Disease. (2014).

Individual participant data

Plan to share: No

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on May 17, 2022, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05211687
Lead sponsor
University of Haifa
Collaborators
Hebrew University of Jerusalem, Technion, Israel Institute of Technology
Responsible party
Galit Yogev-Seligmann (Prinicipal Investigator, University of Haifa) — Principal investigator
First posted
Jan 27, 2022
Start date
Dec 12, 2021
Primary completion
Mar 30, 2023 (estimated)
Completion
Jun 30, 2023 (estimated)
Last update
May 17, 2022

Study contacts

Galit Yogev-Seligmann, PhD
Contact
galit.yogev@gmail.com
+972-4-8288390
Naomi Josman, PhD
Contact
njosman@univ.haifa.ac.il
Galit Yogev-Seligmann, PhD
principal investigator · University of Haifa

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is status unknown, as verified in May 2022. You cannot join it, but the record below documents what was studied.

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