Additive-made wearable magnetic sensors for heart monitoring with AI
Official title: Additive Manufacturing Wearable Magnetic Sensors: Revolutionizing Cardiac Health Monitoring with Machine Learning for Arrhythmia Classification
Funded at Texas Tech University · NIH-11397238 · Data updated 2026-11-12
A wearable system using affordable, 3D-printed sensors and machine learning to help detect heart rhythm problems in people.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Texas Tech University NIH-funded |
| Lab location | 1 site (Lubbock, United States) |
| Project start | September 1, 2025 |
| Project end | August 31, 2029 |
| Funding year | 2026 |
| Award (this year) | $156,038 |
| NIH project number | 5R16GM158539-02 |
| Project ID | NIH-11397238 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults with suspected or known cardiac arrhythmias who may benefit from improved rhythm classification and monitoring.
✕Less likely to help
People without heart rhythm concerns or those unable to use wearable sensors may not benefit.
What this research studies
This project aims to make heart monitoring easier by using printable organic sensors that work with magnetic fields from the heart. It combines additive manufacturing with advanced machine learning to classify arrhythmias more accurately. The goal is to reduce costs and complexity so more patients can benefit from continuous heart health tracking.
Why it matters
Potential benefit: If successful, patients could get more accessible and comfortable long-term heart rhythm monitoring at home or in routine care.
How similar studies have gone: Similar sensor-based approaches have shown promise, but this integration with OgMR sensors and ML is relatively novel.
Where this research is happening
-
Texas Tech University
Lubbock, United States Active
Researchers
- Principal investigator: Wu, Kai — Texas Tech University
- Study coordinator: Wu, Kai
Related research
Other NIH-funded projects on the same topics.
-
Understanding how heart nerves affect dangerous heart rhythms after a heart attack
This NIH grant studies how changes in the heart’s nerve signaling after a heart attack lead to dangerous rhythm problems, with the goal of finding ways to prevent them.
-
Dexterous needle ablation for ventricular arrhythmia guided by MRI
A new MRI-guided, robot-assisted catheter delivers deeper heart tissue ablation to treat ventricular tachycardia.
-
Sex-specific heart cell signaling and rhythm problems linked to a heart failure drug target
A study from UCLA aims to understand how a key heart signaling pathway controls heart beating and rhythm differently in men and women with heart failure.
-
Understanding fat deposits after heart attack and their link to dangerous heart rhythms
A Penn Medicine team is studying how fat buildup in the heart after a heart attack may influence dangerous heart rhythms and recovery.
-
Developing 3D Real-Time CMR for Arrhythmia Imaging
Aims to make real-time 3D heart MRI usable for people with irregular heartbeats to improve how doctors see arrhythmias.
-
Precision imaging of heart rhythms to map arrhythmias without surgery
A new 3D ultrasound method could noninvasively map how abnormal heart rhythms start and travel, helping doctors plan safer treatments for people with arrhythmias.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.