Hardware Design Challenges in ECG Sensing Receivers for Implantable Cardiac Monitors: A Technical Analysis
DOI:
https://doi.org/10.32628/CSEIT251112342Keywords:
Implantable Cardiac Monitors, Electrocardiogram, Signal Conditioning, Power Optimization, Medical Device Validation, Digital Signal Processing, Low Noise Amplifier, Programmable Gain AmplifierAbstract
The development of implantable cardiac monitors presents multifaceted challenges in hardware design, particularly for high-accuracy ECG sensing receivers. The design considerations span across analog front-end architectures, signal processing implementations, system integration strategies, power management solutions, and comprehensive validation methodologies. Advanced technologies in mixed-signal integration, biocompatible materials, and machine learning algorithms have enabled significant improvements in ECG signal quality, power efficiency, and device longevity. The integration of sophisticated filtering techniques, adaptive processing algorithms, and robust validation protocols ensures reliable cardiac monitoring while maintaining strict compliance with medical device standards. These advancements are helping contribute to enhanced patient care through improved diagnostic capabilities and device reliability.
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Christopher J Mandic, et al. "A 1.1µW 2.1µVRMS input noise chopper-stabilized amplifier for bio-medical applications," 2012 IEEE International Symposium on Circuits and Systems (ISCAS), 2012. [Online]. Available: https://ieeexplore.ieee.org/document/6271915
M Bansal and I Sagar, "Low Noise Amplifier for ECG Signals," 2020 Fourth International Conference on Inventive Systems and Control (ICISC), 2020.
Palatnik Eugen and Waukesha Wl, “High-impedance buffer amplifier’s input includes ESD protection,” 2023. [Online]. Available: https://www.edn.com/wp-content/uploads/9.28.06-di.pdf
Emon MZA, Salim KM and Chowdhury MIB, “Design and Analysis of a High-Gain, Low-Noise, and Low-Power Analog Front End for Electrocardiogram Acquisition in 45 nm Technology Using gm/ID Method,” Electronics, 2024. [Online]. Available: https://www.mdpi.com/2079-9292/13/11/2190
Xiaochen Tang, Mario Renteria-Pinon, Wei Tang, “A Dynamic Predictive Sampling ADC for Sparse Signal Sensing in ECG Monitoring” arXiv preprint, 2022. [Online]. Available: https://arxiv.org/abs/2211.09901
Vipan Kakkar, "An Ultra Low Power System Architecture for Implantable Medical Devices," IEEE Access, 2019. [Online]. Available: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8272009
Zhihao Chen, Tian Ban, “Miniaturization of Insertable Cardiac Monitor: ECG Signal Processing Based on Stochastic Computing,” Circuits, Systems, and Signal Processing, 2025. [Online]. Available: https://www.springerprofessional.de/en/miniaturization-of-insertable-cardiac-monitor-ecg-signal-process/50420804
Kaptein YE and Mortada ME, “Implant-to-implant diagnostics and programming of dual-chamber leadless pacemaker in an orthotopic heart transplant recipient,” HeartRhythm Case Rep, 2023. [Online]. Available: https://pubmed.ncbi.nlm.nih.gov/38023682/ .
Michael Rushanan, et al., “SoK: Security and Privacy in Implantable Medical Devices and Body Area Networks,” IEEE Xplore, 2014. [Online]. Available: https://ieeexplore.ieee.org/document/6956585
Navdeep Prashar, Meenakshi Sood and Shruti Jain, "Design and Performance Analysis of Cascade Digital Filter for ECG Signal Processing," ResearchGate, 2019. [Online]. Available: https://www.researchgate.net/publication/349102933_Design_and_Performance_Analysis_of_Cascade_Digital_Filter_for_ECG_Signal_Processing
Achraf Ben Amar, Ammar B Kouki and Hung Cao, "Power Approaches for Implantable Medical Devices," Sensors (Basel), 2015. [Online]. Available: https://pmc.ncbi.nlm.nih.gov/articles/PMC4701313/
David C Bock, et al., "Batteries used to Power Implantable Biomedical Devices," Electrochim Acta, 2012. [Online]. Available: https://pmc.ncbi.nlm.nih.gov/articles/PMC3811938/
Juna Misiri, Fred Kusumoto, Nora Goldschlager, “Electromagnetic interference and implanted cardiac devices: the medical environment (part II). Clin Cardiol, 2012. [Online]. Available: https://pubmed.ncbi.nlm.nih.gov/22539263/
Italo Agustin Marsili, et al., Implementation and validation of real-time algorithms for atrial fibrillation detection on a wearable ECG device," Computers in Biology and Medicine, Volume 116, 2020. [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S0010482519303981
Diego Mannhart, et al. “Clinical Validation of 5 Direct-to-Consumer Wearable Smart Devices to Detect Atrial Fibrillation: BASEL Wearable Study,” JACC Clin Electrophysiol, 2023. [Online]. Available: https://pubmed.ncbi.nlm.nih.gov/36858690/
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