Heart rehab gets smarter: machine learning tailors exercise to your nerves

NCT ID NCT07288840

ENROLLING_BY_INVITATION Knowledge-focused Sponsor: Instituto Politécnico de Leiria Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study aims to improve exercise prescription in cardiac rehabilitation by using machine learning to analyze data from the autonomic nervous system. Researchers will enroll 90 patients with coronary artery disease or non-ischemic heart failure. They will measure nerve activity and other biomarkers to create a personalized exercise plan, potentially making rehab safer and more effective.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: personalized exercise prescription based on autonomic assessment
What this could lead to: If successful, this could lead to more effective and safer exercise plans for people in cardiac rehabilitation, improving heart health outcomes.
What could go wrong: This is a small, early-stage study focused on developing a method, not testing a treatment. The approach may not prove better than standard care or may be too complex for routine use.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

cardiovascular disorder coronary artery disorder systolic heart failure

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

AUTONOMIC NERVOUS SYSTEM IMBALANCE CARDIAC REHABILITATION EXERCISE THERAPY TREATMENT OUTCOMES

Contacts and locations

Locations

ICVS - Life and Health Sciences Research Institute, Minho University Medical School

Braga, Minho, 4710-057, Portugal
ciTechCare - Center for Innovative Care and Health Technology

Leiria, Leiria District, 2414-016, Portugal

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