Actively Recruiting

Age: 35Years - 55Years
FEMALE
ID07022925

An Observational Virtual Trial to Investigate the Accuracy of a Wearable Device in Collecting Data Related to Perimenopausal Symptoms in Women

Led by IdentifyHer Limited · Updated on 2025-09-18

110

Participants Needed

1

Research Sites

N/A

Total Duration

On this page

Sponsors

I

IdentifyHer Limited

Lead Sponsor

K

KGK Science Inc.

Collaborating Sponsor

AI-Summary

What this Trial Is About

This research aims to evaluate how accurately a wearable device can detect and characterize symptoms experienced by women during perimenopause and menopause. The study focuses on symptoms such as hot flashes, night sweats, anxiety, and sleep quality, comparing the device's data with self-reported symptoms recorded daily through an app. The goal is to understand how well the device's algorithm matches participants' own reports of their symptoms. Participants will use IndentifyHer's Peri, a commercial, non-invasive wearable sensor designed to monitor the frequency and severity of perimenopausal symptoms. They will wear this device continuously while also completing daily electronic diaries and questionnaires about stress, anxiety, and sleep for a period of two weeks. This combination allows researchers to compare the device's measurements with participants' self-reports. During the study, participants will be asked to maintain their usual lifestyle habits, including diet, exercise, supplements or medications, and sleep patterns. Researchers will collect data from the wearable device, daily app questionnaires, and stress and sleep assessments. The main outcomes measured are the accuracy of the device's algorithm in tracking vasomotor symptoms, anxiety, sleep quality, and overall perimenopausal symptoms during the 14-day study period. The study is observational and virtual, with involvement lasting approximately two weeks.

CONDITIONS

Brief Title

A Trial to Investigate the Accuracy of a Wearable Device in Collecting Data Related to Perimenopausal Symptoms in Women

Who Can Participate

Age: 35Years - 55Years
FEMALE

Eligibility Criteria

Eligible

You may qualify if you...

  • Female between 35 and 55 years of age, inclusive
  • Self-reported perimenopausal woman experiencing hot flushes or night sweats
  • If able to have children, not pregnant, not planning pregnancy, and agrees to use approved birth control during the study
  • Agrees to maintain current lifestyle including diet, exercise, supplements/medications, and sleep
  • Provides voluntary and informed consent
  • Generally healthy with no unstable medical conditions
Not Eligible

You will not qualify if you...

  • Allergy or sensitivity to the adhesive of the investigational device
  • Use of a pacemaker
  • Unstable diagnosed anxiety disorder
  • Sleep disorder requiring medical treatment
  • Skin conditions or sensitive skin around the device application area
  • Surgery in the past three months or planned surgery during the study
  • Average alcohol intake of 1 or more standard drink per day
  • Alcohol or drug abuse in the past 12 months requiring treatment
  • Use of medications or supplements that may affect device data
  • Participation in other clinical studies within 30 days prior to screening
  • Unable to give informed consent
  • Any other condition or lifestyle factor that may affect study completion or pose risk to participant

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person or virtual)

Monitoring

Duration - 14 days

Participants wear a non-invasive, wearable device and use an app to track perimenopausal symptoms such as hot flashes, night sweats, anxiety, and sleep disturbances.

Daily self-reporting via app and continuous wearable device usage

Trial Site Locations

Total: 1 location

1

KGK Science Inc.

London, Ontario, Canada, N6B3L1

Actively Recruiting

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Research Team

M

Marc Moulin, PhD

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

1

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