Noninvasive Hemodynamic Assessment by a Sensor Patch: The PATCHWRK (PortAble TeCHnology for Wireless caRdiomyopathy
Zak Loring1, Nicholas B Bolus2, F Brennan Torstrick2
1Division of Cardiology, Department of Medicine, Duke University, Durham, North Carolina, USA; Duke Clinical Research Institute, Durham, North Carolina, USA.
JACC. Advances
|April 29, 2025
Summary
A new SANSA sensor patch accurately measures cardiac timing intervals like diastolic filling time (DFT), aiding early detection of heart conditions. This wearable technology offers a promising alternative for longitudinal patient monitoring.
Area of Science:
- Cardiology
- Biomedical Engineering
- Medical Devices
Background:
- Echocardiographic timing intervals offer prognostic insights into preclinical cardiac dysfunction.
- Reduced diastolic filling time (DFT) is linked to cardiomyopathy risk in left bundle branch block patients.
- Current echocardiography limitations hinder longitudinal assessment due to specialized equipment needs.
Purpose of the Study:
- To evaluate a multimodal sensor patch (SANSA) for assessing cardiac timing intervals.
- Specifically assessing diastolic filling time (DFT), pre-ejection period (PEP), and left ventricular ejection time (LVET).
Main Methods:
- Prospective enrollment of 50 patients undergoing echocardiography.
- Simultaneous recording using the SANSA patch and echocardiography.
- Analysis of timing intervals via continuous wave, pulsed wave, and tissue Doppler imaging, alongside SANSA's ECG, seismocardiogram, and phonocardiogram data.
- Agreement assessment using intraclass correlation coefficients (ICC).
Main Results:
- Analyzable data obtained from 92% of patients (46/50).
- SANSA showed high agreement with echocardiography: ICC of 0.92 for DFT, 0.74 for PEP, and 0.76 for LVET.
- SANSA-derived intervals were comparable to those obtained between different echocardiographic views.
Conclusions:
- The SANSA patch provides accurate measurements of cardiac timing intervals, comparable to echocardiography.
- This wearable technology may enable early detection of cardiomyopathy through longitudinal monitoring.
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