Smart ECG T-Shirt System

The solution combines a reusable smart garment, an ECG acquisition and data transmission module, and a signal-processing and analytics software layer designed to reduce motion artifacts and ensure reliable ECG quality during daily activities. This output can be reused by third parties as a standalone medical wearable, or as modular components including smart textile electrode designs, ECG signal-processing algorithms, and remote monitoring software, supporting applications in telemedicine, preventive cardiology, clinical research, and digital health services.

The smart ECG t-shirt integrates conventional clinical ECG electrodes into a wearable garment through a secure snap-connector interface, enabling reliable skin–electrode contact and clinical-grade signal quality. The textile structure ensures stable electrode positioning over long monitoring periods while improving user comfort compared to standard Holter setups. The system supports single- or multi-lead ECG acquisition and is coupled with a low-noise, low-power ECG front-end for high-resolution signal sampling. Wireless data transmission enables continuous or intermittent data transfer to mobile or cloud-based platforms. The accompanying software stack includes motion-tolerant signal-processing algorithms, such as noise filtering, baseline correction, robust R-peak detection, and extraction of heart rate, HRV, and arrhythmia indicators. The modular design allows third parties to reuse the solution as a wearable ECG platform, an electrode–garment integration concept, or a signal-processing and remote monitoring software component for clinical and digital health applications.

The smart ECG t-shirt can be integrated as a wearable ECG platform via (1) a hardware interface where standard snap ECG electrodes connect to a low-noise acquisition unit (ADC + analog front-end); integration requires compatible electrode connector type, stable electrode placement, and adherence to basic safety/isolation requirements. (2) Data transfer can be implemented through Bluetooth Low Energy (BLE) to a mobile app or gateway, and optionally via Wi-Fi/Cellular if the recorder supports it; typical payloads include raw ECG samples and derived events/segments. (3) On the software side, the analytics layer can be exposed through REST/JSON APIs (for uploads, reports, annotations) and/or a local SDK/library (e.g., Python/C++), with outputs provided as standard formats such as CSV/JSON and optionally EDF or HDF5 for waveform storage. Integration constraints include ensuring sampling rate compatibility (e.g., 250 Hz or higher for arrhythmia analysis), synchronized timestamps, secure data handling (encryption in transit and at rest), and compliance with applicable medical data/privacy requirements (e.g., GDPR/HIPAA depending on region). Deployment is typically supported on Android/iOS for the patient-side app and Linux/Windows for backend processing, with optional cloud hosting (Docker/Kubernetes) for scalable remote monitoring.

The smart ECG t-shirt targets healthcare providers (hospitals, cardiology clinics, and home-care services), telemedicine and remote patient monitoring companies, and clinical research organizations seeking scalable, long-term ECG monitoring solutions. The primary markets include digital health, preventive cardiology, and ambulatory cardiac monitoring. The solution is also suitable for business partnerships with medical device manufacturers, wearable electronics companies, and digital health platforms, particularly partners with expertise in medical-grade hardware manufacturing, regulatory approval (CE/FDA), cloud health platforms, and AI-based cardiac analytics to support large-scale deployment and commercialization.

The smart ECG t-shirt can be reused by third parties under flexible licensing models depending on the scope of use and level of integration. Reuse may be granted through commercial licensing agreements for the complete system (hardware design, garment integration concept, and software stack) or through modular licenses covering individual components such as the wearable integration design, ECG acquisition interface, or signal-processing and analytics software. Licensing terms can be non-exclusive or exclusive, time-limited or perpetual, and may include royalty-based or upfront fee structures. Reuse for research and pilot studies can be supported under evaluation or research licenses, while large-scale commercial deployment would require compliance with applicable medical device regulations, data protection laws, and branding/IP guidelines defined by the licensor.