Smart Home-based Technology to Promote Functional Mobility Among Individuals With Parkinson's Disease
NCT ID: NCT05211687
Last Updated: 2022-05-17
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
UNKNOWN
30 participants
OBSERVATIONAL
2021-12-12
2023-06-30
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Biofeedback-based Motor Learning to Ameliorate Freezing of Gait
NCT01223781
EMG to Detect and Monitor Freezing of Gait Among People With Parkinson's Disease
NCT05693207
Vibrotactile Foot Device for Freezing of Gait in Parkinson's Disease
NCT06147713
Investigating Therapies for Freezing of Gait
NCT03065127
Smartshoes for Freezing of Gait in Parkinson's Disease
NCT07001072
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
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.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
COHORT
CROSS_SECTIONAL
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Smart-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.
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* 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
18 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Hebrew University of Jerusalem
OTHER
Technion, Israel Institute of Technology
OTHER
University of Haifa
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Galit Yogev-Seligmann
Prinicipal Investigator
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Galit Yogev-Seligmann, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Haifa
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Galit Yogev-Seligmann
Haifa, Please Select..., Israel
Countries
Review the countries where the study has at least one active or historical site.
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Facility Contacts
Find local site contact details for specific facilities participating in the trial.
References
Explore related publications, articles, or registry entries linked to this study.
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.
Keus HSJ, Munneke M, G. M. et al. European Physiotherapy Guidline for Parkinson's Disease. (2014).
Yogev-Seligmann G, Josman N, Bitterman N, Rosenblum S, Naaman S, Gilboa Y. The development of a home-based technology to improve gait in people with Parkinson's disease: a feasibility study. Biomed Eng Online. 2023 Jan 19;22(1):2. doi: 10.1186/s12938-023-01066-2.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
GALITYS
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.