Wearable Monitoring Systems for Swallowing Function and Disorders

July 18, 2024 updated by: Georgia A. Malandraki, Purdue University

Development and Validation of Mechanically Compliant Wearable Monitoring Systems for Swallowing Function and Disorders

Wearable tele-rehabilitation technology allows for the efficient provision of rehabilitation services from a distance, facilitating tele-management of many disorders. The proposed research will develop and validate a set of mechanically compliant, easy-to-use, and inexpensive wearable tele-monitoring systems, for future use in the rehabilitation of swallowing disorders (dysphagia). The hypothesis is that the newly developed wearable sensors will have equal or better performance than traditional wired sensors used today in clinical practice. Factors related to signal quality and patient reported outcomes (e.g., satisfaction/comfort level, adverse effects etc.) will be examined.

Study Overview

Status

Completed

Study Type

Interventional

Enrollment (Actual)

70

Phase

  • Early Phase 1

Contacts and Locations

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

Study Locations

    • Indiana
      • West Lafayette, Indiana, United States, 47907
        • Purdue University I-EaT Lab

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

14 years to 86 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

Inclusion criteria for healthy adults:

  • Age 18-30 OR 50-90 years of age
  • No history of dysphagia
  • No history of a neurological disorder
  • A score in the normal/mild range on the Montreal Cognitive Assessment (MoCA):
  • A score of <3 on the Eating Assessment Tool-10 (EAT-10, a self-report screening for dysphagia).

Inclusion criteria for patients with dysphagia:

  • Age 18-90 years of age
  • Diagnoses of dysphagia as a result of a neurological disorder (e.g., stroke, Parkinson's disease).
  • A score in the normal/mild range on the Montreal Cognitive Assessment (MoCA).
  • A score of ≥3 on the Eating Assessment Tool-10 (EAT-10, a self-report screening for dysphagia).

Exclusion Criteria:

• Significant cognitive impairment (a score in the moderate-severe range on MoCA):

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

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Crossover Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Other: Group A: Conventional Sensors First, Then Experimental (Tele-EaT) Sensors
Group A participants will complete the experimental protocol (swallow trials) with the conventional (commercially available) electrodes/sensors first. After a break of 10 minutes, they then will repeat the exact same experimental protocol (exact same swallow trials) with the experimental sensors (i.e., a wearable surface EMG sensors patch we are developing).
Two iterations of a wearable surface EMG (sEMG) sensors patch we developed will be tested against commercially available wired devices. The first iteration of the wearable sensor patch is an ultrathin patch with a honeycomb-inspired design that included sEMG and strain sensors in order to capture muscle activity and thyroid movement signals from the submental area during swallows and swallow maneuvers/exercises. The second iteration is a more durable slightly thicker flexible, non-stretchable, and double-sided thin sEMG patch. Participants will perform standardized swallow tasks while wearing the device.
Conventional sensors will include snap-on wired electrodes as the control condition. The same set of standardized swallow tasks will be completed with the conventional and commercially available devices as well.
Other: Group B: Experimental (Tele-EaT) Sensors First, Then Conventional Sensors
Group B participants will complete the experimental protocol (swallow trials) with the experimental sensors (i.e., a wearable surface EMG sensors patch we are developing) first. After a break of 10 minutes, they then will repeat the exact same experimental protocol (exact same swallow trials) with the conventional (commercially available) electrodes/sensors.
Two iterations of a wearable surface EMG (sEMG) sensors patch we developed will be tested against commercially available wired devices. The first iteration of the wearable sensor patch is an ultrathin patch with a honeycomb-inspired design that included sEMG and strain sensors in order to capture muscle activity and thyroid movement signals from the submental area during swallows and swallow maneuvers/exercises. The second iteration is a more durable slightly thicker flexible, non-stretchable, and double-sided thin sEMG patch. Participants will perform standardized swallow tasks while wearing the device.
Conventional sensors will include snap-on wired electrodes as the control condition. The same set of standardized swallow tasks will be completed with the conventional and commercially available devices as well.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Normalized Task-related sEMG Amplitude (Signal Quality Parameter)
Time Frame: Post each experiment (i.e., 1 hour after the sensors have been placed)
Normalized sEMG amplitude values during standardized swallow tasks and maneuvers will be recorded and compared between the two sEMG devices. Normalized amplitude is used as a signal quality parameter and is not a health related outcome.
Post each experiment (i.e., 1 hour after the sensors have been placed)
Signal to Noise Ratio (Signal Quality Parameter)
Time Frame: Post each experiment (i.e., 1 hour after the sensors have been placed)
Signal to Noise ratio will be calculated and compared between sensor types tested. Signal to noise ration is a signal quality parameter and not a health related outcome.
Post each experiment (i.e., 1 hour after the sensors have been placed)

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Ease of Use/Comfort
Time Frame: Post each experiment (i.e., 1 hour after the sensors have been placed)

Ease-of-use/comfort will be examined using a survey also devised by the investigators (using a positive centered 5-point Likert scale) with questions about ease-of-use/comfort after each experiment with each device. This survey includes statements related to the participants' ease-of-use/comfort during the experimental protocol (e.g., I was comfortable while the experimenter placed the sensors on my skin). The answers will be rated on a 10-point scale (i.e., 1 = extremely uncomfortable, 10 = extremely comfortable). Higher values indicate better or higher satisfaction/comfort scores. Total scores will be compared across conditions/devices tested.

For the first iteration testing, the scale used for this outcome measure included 5 survey questions rated on a 10-point scale (total possible: 50; range 0-50). For the second iteration testing, we added one more question, hence the scale included 6 survey questions (total possible: 60; range: 0-60).

Post each experiment (i.e., 1 hour after the sensors have been placed)
Adverse Effects and Safety
Time Frame: Pre and Post each experiment (i.e., right before the placement of sensors on the subject and 1 hour after the sensors have been placed and 5 minutes after their removal)
Safety will be examined by documenting the incidence of skin irritations and pain in the subjects. A visual inspection form including a binary scale (YES/NO) has been devised by the investigators (no formal name) and will be used by a rater who will thoroughly inspect the participants' submandibular skin before and after each experiment. For any irritation or change in appearance YES will be selected and the type of irritation will be descriptively recorded (e.g., red skin). Pain is also rated in the same way through a question to the participants. This form will be completed by a rater who is not part of the data collection process and who is blinded to sensors type to avoid any bias.The number of YESs will be used to calculate the incidence of these adverse effects in the sample.
Pre and Post each experiment (i.e., right before the placement of sensors on the subject and 1 hour after the sensors have been placed and 5 minutes after their removal)

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Georgia A. Malandraki, PhD, Professor
  • Principal Investigator: Chi Hwan Lee, PhD, Associate professor

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)

September 11, 2018

Primary Completion (Actual)

March 31, 2023

Study Completion (Actual)

July 25, 2023

Study Registration Dates

First Submitted

August 26, 2019

First Submitted That Met QC Criteria

January 24, 2020

First Posted (Actual)

January 28, 2020

Study Record Updates

Last Update Posted (Actual)

August 14, 2024

Last Update Submitted That Met QC Criteria

July 18, 2024

Last Verified

July 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • 1807020788
  • 1R21EB026099-01A1 (U.S. NIH Grant/Contract)

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

Yes

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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