imPulse™ Tor System Self-Directed Cuffless Blood Pressure Monitoring
AI/ML Algorithm Training and Validation for the imPulse™ Tor System Self-Directed Systolic & Diastolic Blood Pressure Monitor.
1 other identifier
observational
15
1 country
1
Brief Summary
Self-measured, non-invasive accurate blood pressure monitoring continues to be a major challenge for automated vital sign measurement systems. The general notion is that with reliable, self-administered BP monitoring in the clinic and at home, health care providers will be able to diagnose hypertension among individuals at an early stage, including high risk patients in the community, and more quickly assess if prescribed treatment plans are working. The imPulse™ Tor System detects 1) audible and inaudible low-frequency, low-amplitude sounds generated by the body, including arterial pulse waveforms, and 2) ECG-derived heart cycle identification, which can be combined with the vibroacoustic data to estimate blood pressure. The imPulse™ Tor has undergone preliminary testing. In this pilot study, we collect data from health care workers for algorithm training and validation study to achieve medical grade device AAMI/ISO and IEEE standards compliance.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started May 2022
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
May 16, 2022
CompletedFirst Submitted
Initial submission to the registry
May 18, 2022
CompletedFirst Posted
Study publicly available on registry
May 23, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 23, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
August 30, 2022
CompletedMarch 23, 2023
March 1, 2023
3 months
May 18, 2022
March 22, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
imPulse™ Tor System Blood Pressure Prediction
Following AI/ML algorithm training and validation the difference between predicted systolic, diastolic, and mean arterial pressure predictions of the imPulse™ Tor and gold-standard measurement of an electronic blood pressure cuff will be less than 2.5 mmHg in at least 90% of the measurements, less than 5 mmHg in at least 92.5% of the measurements and less than 10 mmHg in at least 95% of the measurements.
bid/1week
Secondary Outcomes (2)
imPulse™ Tor Heart Rate Prediction
bid/1week
imPulse™ Tor Oxygen Saturation Prediction
bid/1week
Interventions
Self-directed blood pressure data capture
Eligibility Criteria
Healthy volunteer healthcare worker cohort
You may qualify if:
- Participants are limited to clinical staff and first-responders who work at the UC Davis C Street Clinics in the Sports and Spine suites.
You may not qualify if:
- History of major neck surgeries
- Unable to sit and stand upright comfortably for 2 minutes
- Unable to obtain or has contraindication to upper extremity blood pressure reading
- Unable to perform self-measurements using the imPulse™ Tor device
- Adults unable to consent
- Individuals who are not yet adults (infants, children, teenagers)
- Pregnant women
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Level 42 AI, Inc.lead
- University of California, Daviscollaborator
Study Sites (1)
UCD Sports Medicine
Sacramento, California, 95816, United States
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 18, 2022
First Posted
May 23, 2022
Study Start
May 16, 2022
Primary Completion
August 23, 2022
Study Completion
August 30, 2022
Last Updated
March 23, 2023
Record last verified: 2023-03
Data Sharing
- IPD Sharing
- Will not share
Pilot study data for algorithm training using different AI/ML approaches.