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NCT07273422 · ClinicalTrials.gov registry record

Novel Self-charging, Medical-Grade Smart Insoles With AI/ML Edge Computing to Monitor Biometrics.

A clinical trial of No Applicable Condition; Study of Physiologic Monitor Alarms, sponsored by Spectrum Ergonomics and Occupational Health Services.

Recruiting
Registry status
150
Enrollment target
1
Study location

NCT07273422 is a study of No Applicable Condition; Study of Physiologic Monitor Alarms that is actively recruiting participants, run by Spectrum Ergonomics and Occupational Health Services. The registered enrollment target is 150 participants. The trial reports 1 study location across 1 state.

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The verdict

NCT07273422, a study of No Applicable Condition; Study of Physiologic Monitor Alarms, is actively recruiting participants, sponsored by Spectrum Ergonomics and Occupational Health Services.

RECRUITING
Registry status
150 participants
Enrollment target
1
Study location

Study Summary

This study will evaluate the effectiveness of newly developed self-powered, smart insoles that will be used for remote patient monitoring (RPM) for both military and civilian populations. The present study is part of a project funded by SEMI and the Air Force Research Laboratory (AFRL).

Interventions

  • OTHER Observational with data collected

Study Locations (1)

Pennsylvania

  • Spectrum Ergonomics and Occupational Health Services - Williamsport

Trial Details

FieldValue
Enrollment Target 150 participants
Start Date 2026-06
Est. Completion 2027-02

What the Registry Record Tells You About NCT07273422

The ClinicalTrials.gov registry entry for NCT07273422 describes a study currently listed as recruiting, categorized as an unspecified phase. The registered enrollment target is 150 participants, a figure that helps gauge the scale of data the investigators plan to collect. The listed sponsor is Spectrum Ergonomics and Occupational Health Services, which has 1 total studies on file at ClinicalTrials.gov.

The record links to 1 condition, with No Applicable Condition; Study of Physiologic Monitor Alarms appearing as the primary indexed condition, and to 1 intervention - of which Observational with data collected is the first listed.

NCT07273422 reports 1 study location spanning 1 distinct geographic area - top geographies include Pennsylvania.

Frequently Asked Questions

What is clinical trial NCT07273422 about?

NCT07273422 is a clinical study titled "Novel Self-charging, Medical-Grade Smart Insoles With AI/ML Edge Computing to Monitor Biometrics.". This study will evaluate the effectiveness of newly developed self-powered, smart insoles that will be used for remote patient monitoring (RPM) for both military and civilian populations. The present study is part of a project funded by SEMI and the Air Force Research Laboratory (AFRL).

What is the current status of trial NCT07273422?

This trial is currently recruiting. The enrollment target is 150 participants. The study started on 2026-06. Estimated completion is 2027-02.

What conditions does trial NCT07273422 study?

This clinical trial studies the following conditions: No Applicable Condition; Study of Physiologic Monitor Alarms.

What interventions are being tested in trial NCT07273422?

The interventions under investigation include: Observational with data collected (OTHER).

Who is sponsoring clinical trial NCT07273422?

This trial is sponsored by Spectrum Ergonomics and Occupational Health Services, which has 1 total clinical trials registered on ClinicalTrials.gov.

Where is trial NCT07273422 being conducted?

This trial has 1 study location across Pennsylvania. Contact the study sites directly through ClinicalTrials.gov for enrollment availability.

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainTrial Editorial

Every figure on PlainTrial is rendered directly from the ClinicalTrials.gov registry, no number is typed in by an editor. This page mirrors this trial's own ClinicalTrials.gov registry record, live from the dataset. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.