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Wearable Airbag Technology for High Fall Risk

Q: Could I qualify to join this medical study?

This medical experiment is seeking 200 participants, aged 18 to 85 years old, who have a history of falling. They must also meet the following selection criteria: INCLUSION.

Q: Are any individuals aged over 55 being enlisted for this research project?

This trial is open to those aged 18-85. Those younger than 18 and older than 65 will have the opportunity to take part in 63 and 1500 studies respectively.

Q: How many participants is this experimental research accepting?

Affirmative, according to clinicaltrials.gov this research endeavor is enlisting patients at present. This trial was initially advertised on January 14th 2018 and has been recently updated as of February 8th 2022. 200 individuals need to be recruited from one medical centre for the study's completion.

Q: Is participation in this testing still available for individuals?

Affirmative, the clinicaltrials.gov database specifies that this research project is presently seeking participants. This trial was initially uploaded on January 14th 2018 and recently updated on February 8th 2022. The endeavour needs 200 volunteers from one medical centre in total.

N/A

Waitlist Available

Led By Arun Jayaraman, PT, PhD

Research Sponsored by Shirley Ryan AbilityLab

Eligibility Criteria Checklist

Specific guidelines that determine who can or cannot participate in a clinical trial

Must have

Either homebound or community ambulators

Age constrained from 18-70 years old

Timeline

Screening 3 weeks

Treatment Varies

Follow Up 1 year

Awards & highlights

Study Summary

This trial is testing a new airbag system that aims to reduce injuries from falls for high-risk individuals.

Who is the study for?

This trial is for English-speaking adults aged 18-85 with high fall risk due to conditions like Parkinson's disease, stroke, or being an elderly person prone to falls. Participants must be able to walk with assistance and follow instructions. They should not have severe osteoporosis, cognitive deficits (MMSE score <17), significant visual impairments, serious cardiac issues, or any condition that would interfere with the study.Check my eligibility

What is being tested?

The study tests a wearable airbag system designed to detect and soften the impact of falls in high-risk individuals. Participants will wear this smart technology and use a smartphone alongside it as part of their daily routine to assess its effectiveness in real-life scenarios.See study design

What are the potential side effects?

While specific side effects are not detailed for wearing an airbag device, potential discomforts may include skin irritation from prolonged wear or possible inconvenience associated with carrying the additional equipment.

Eligibility Criteria

Inclusion Criteria

You may be eligible if you check “Yes” for the criteria below

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I am either mostly staying at home or able to walk around in the community.

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I am between 18 and 70 years old.

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I have no injuries to my arms or legs and no history of back pain.

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I have Parkinson's and can walk with help and follow simple instructions.

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I am over 60, have had a stroke, Parkinson's, or am an amputee and fell recently.

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I can sit without help, walk with support if needed, and follow simple instructions.

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I am healthy and physically fit.

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I am between 18 and 85 years old.

Timeline

Screening ~ 3 weeks3 visits

Treatment ~ Varies

Follow Up ~ 1 year

Screening ~ 3 weeks

Treatment ~ Varies

Follow Up ~1 year

This trial's timeline: 3 weeks for screening, Varies for treatment, and 1 year for reporting.

Treatment Details

Study Objectives

Outcome measures can provide a clearer picture of what you can expect from a treatment.

Primary outcome measures

Pre-fall classification performance

0 / 8Eligibility criteria met

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Who is running the clinical trial?

Shirley Ryan AbilityLabLead Sponsor

192 Previous Clinical Trials

14,685 Total Patients Enrolled

Arun Jayaraman, PT, PhDPrincipal InvestigatorShirley Ryan AbilityLab

22 Previous Clinical Trials

2,702 Total Patients Enrolled

Media Library

Wearable Airbag Technology (Other) Clinical Trial Eligibility Overview. Trial Name: NCT05076565 — N/A

Patient Falls Clinical Trial 2023: Wearable Airbag Technology Highlights & Side Effects. Trial Name: NCT05076565 — N/A

Wearable Airbag Technology (Other) 2023 Treatment Timeline for Medical Study. Trial Name: NCT05076565 — N/A

Frequently Asked Questions

These questions and answers are submitted by anonymous patients, and have not been verified by our internal team.

Could I qualify to join this medical study?

"This medical experiment is seeking 200 participants, aged 18 to 85 years old, who have a history of falling. They must also meet the following selection criteria: INCLUSION."

Answered by AI

Are any individuals aged over 55 being enlisted for this research project?

"This trial is open to those aged 18-85. Those younger than 18 and older than 65 will have the opportunity to take part in 63 and 1500 studies respectively."

Answered by AI

How many participants is this experimental research accepting?

"Affirmative, according to clinicaltrials.gov this research endeavor is enlisting patients at present. This trial was initially advertised on January 14th 2018 and has been recently updated as of February 8th 2022. 200 individuals need to be recruited from one medical centre for the study's completion."

Answered by AI

Is participation in this testing still available for individuals?

"Affirmative, the clinicaltrials.gov database specifies that this research project is presently seeking participants. This trial was initially uploaded on January 14th 2018 and recently updated on February 8th 2022. The endeavour needs 200 volunteers from one medical centre in total."

Answered by AI

Recent research and studies

Journal of NeuroEngineering and RehabilitationJournal

Wearable Airbag Technology and Machine Learned Models to Mitigate Falls After Stroke

Botonis, Olivia K., Yaar Harari, Kyle R. Embry, Chaithanya K. Mummidisetty, David Riopelle, Matt Giffhorn, Mark V. Albert, Vallery Heike, and Arun Jayaraman. 2022. “Wearable Airbag Technology and Machine Learned Models to Mitigate Falls After Stroke”. Journal of Neuroengineering and Rehabilitation. Springer Science and Business Media LLC. doi:10.1186/s12984-022-01040-4.

clinicaltrials.govStudy

Wearable Airbag Technology to Mitigate Falls in Individuals With High Fall Risk

Arun Jayaraman, PT, PhD 2018. "Wearable Airbag Technology to Mitigate Falls in Individuals With High Fall Risk". ClinicalTrials.gov. https://clinicaltrials.gov/ct2/show/NCT05076565.

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