Holst Centre, imec and DELTA combined for an innovative ECG body patch that integrates an ultra-low power electrocardiogram (ECG) chip and a Bluetooth Low Energy (BLE) radio. This unique combination fuses power-efficient electronics and standardized communication, opening new perspectives for long-term monitoring in health, wellness and medical applications. The system integrates components from Holst Centre and imec’s R&D programs. It is designed in collaboration with DELTA and integrated in DELTA’s ePatch platform.

ECG Body Patch for Remote Health Monitoring of PatientsThe ECG patch measures up to 3 lead ECG signals, tissue-contact impedance and includes a 3D-accelerometer for physical activity monitoring. The data are processed and analyzed locally, and relevant events and information are transmitted through Bluetooth Low Energy. The patch is capable of monitoring, processing and communication on a minimal energy budget. When computing and transmitting the heart rate, the entire system consumes a mere 280µA at 2.1V, running continuously for one month on a 200mAh Li-Po battery. When transmitting accelerometer data (at 32Hz) on top of the heart rate, the power consumption remains below 1mA in continuous operation, giving about 1 week of autonomy.

The Bluetooth Low Energy (BLE) link adds a standardized plug-and-play communication gateway to mobile devices such as smartphones and tablets. Smartphones and tablets enabled with Bluetooth 4.0 have been announced for next year; these will be your gateway to the world, bringing your heart parameters to wellness applications, to your network of friends, or to your doctor.

At the heart of the patch is an ECG System-On-Chip (SoC), a mixed signal ASIC. It is custom designed to provide ECG monitoring and high processing power at an extremely low energy consumption. Next to monitoring 1- to 3-lead ECG, the ECG SoC also monitors the contact impedance, providing real-time information on the electrode contact quality. This can be used to evaluate the quality of the ECG measurement and to filter motion artifacts.

The ECG SoC has been designed to run algorithms for motion artifact reduction (based on adaptive filtering or principal component analysis) and beat-to-beat heart rate computation (based on discrete or continuous wavelet transforms). It has additional computation power to run application-specific algorithms such as epileptic seizure detection, energy expenditure estimation or arrhythmia monitoring. The built-in 12-bit ADC is capable of adaptive sampling – sampling QRS waves at high frequency, and the other waves at a lower frequency – achieving a compression ratio of up to 5.