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Published on: December 11, 2019
Characterisation of thigh-based electrocardiography (ECG) across different pathologies
Aline Dos Santos Silva1, Miguel Velhote Correia2, Andreia Gonçalves da Costa3
1Institute for Systems and Computer Engineering, Technology, and Science (INESC TEC), Instituto de Telecomunicações (IT), Faculty of Engineering, University of Porto (FEUP), R. Dr. Roberto Frias, 4200-465, Porto, Portugal. aline.s.silva@inesctec.pt.
This study shows that toilet seat electrocardiograms (ECGs) can reliably capture heart activity and analyze heart rate variability (HRV) for cardiovascular disease screening. This unobtrusive method offers potential for future home-based monitoring and telemedicine.
Area of Science:
- Biomedical Engineering
- Cardiology
- Medical Devices
Background:
- Cardiovascular diseases are a leading global health concern.
- Continuous electrocardiographic (ECG) monitoring is crucial for managing cardiovascular conditions.
- Current ECG monitoring methods can be uncomfortable and limit long-term adherence.
Purpose of the Study:
- To assess the feasibility of acquiring ECG signals using a toilet seat interface with dry electrodes.
- To analyze the quality and diagnostic potential of thigh-acquired ECGs compared to conventional methods.
- To explore the application of thigh-based ECGs for patient stratification and disease-specific autonomic pattern identification.
Main Methods:
- 30 hospitalized patients with diverse cardiovascular conditions were enrolled.
- ECG signals were acquired simultaneously from a toilet seat interface (posterior thighs) and conventional limb leads.
- Analysis included ECG morphology, heart rate variability (HRV) metrics, and principal component/hierarchical clustering for disease-related grouping.
Main Results:
- Thigh-acquired ECGs demonstrated clear P-QRS-T complexes with preserved morphology, enabling reliable HRV analysis.
- Patients with post-surgical aortic repair showed ECG profiles closest to the normal cluster, while aortic stenosis (AS) patients were most distant.
- Disease-specific autonomic patterns were identified: higher HRV in tricuspid/mitral valve disease, reduced parasympathetic indices in aortic valve disease.
- Clustering analysis differentiated conditions with severe hemodynamic disruption (e.g., PS, AS) and identified overlapping groups for Acute Coronary Syndrome, Unstable Angina, and Ascending Aortic Aneurysm.
Conclusions:
- Unobtrusive thigh-based ECG monitoring via a toilet-seat interface is feasible.
- This method allows reliable ECG signal acquisition and heart rate variability analysis.
- The approach shows potential for preliminary patient stratification and future home-based cardiovascular screening and telemedicine applications.
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