DESIGN AND IMPLEMENTATION OF MULTICORE SYSTEM ON CHIP ELECTROCARDIOGRAPHY

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DESIGN AND IMPLEMENTATION OF MULTICORE SYSTEM ON CHIP ELECTROCARDIOGRAPHY

Abstract:
Electrocardiography (ECG) is a vital diagnostic tool used for monitoring and analyzing the electrical activity of the heart. With the increasing demand for portable and real-time ECG monitoring systems, the need for efficient and high-performance hardware platforms has become crucial. This abstract presents the design and implementation of a multicore system-on-chip (SoC) architecture specifically tailored for ECG signal processing.

The proposed multicore SoC architecture aims to address the challenges associated with real-time ECG analysis, including high computational requirements, low power consumption, and efficient data management. The system leverages the benefits of parallel computing by integrating multiple processing cores on a single chip, enabling concurrent execution of computationally intensive algorithms.

The design methodology involves partitioning the ECG signal processing tasks into parallelizable modules that can be efficiently distributed across the available processing cores. Each core is responsible for executing specific tasks, such as signal acquisition, noise removal, feature extraction, and arrhythmia detection. Inter-core communication and synchronization mechanisms are implemented to ensure data coherence and coordination among the processing elements.

To optimize power consumption, power management techniques, such as dynamic voltage and frequency scaling, are employed, allowing the system to adapt its performance based on the workload requirements. Furthermore, the proposed architecture incorporates efficient memory subsystems, including on-chip caches and memory controllers, to minimize data transfer latencies and enhance overall system performance.

The implementation of the multicore SoC architecture for ECG signal processing is realized using advanced hardware description languages and associated design tools. The system is validated using real ECG datasets, and its performance is evaluated in terms of accuracy, speed, and power efficiency. Comparisons with existing single-core and multi-processor architectures demonstrate the advantages of the proposed approach.

The results indicate that the multicore SoC architecture offers significant improvements in terms of real-time processing capabilities, reduced power consumption, and enhanced scalability. It provides a promising platform for the development of portable, low-power, and high-performance ECG monitoring systems, with potential applications in healthcare, telemedicine, and personal health monitoring.

Keywords: Electrocardiography, ECG signal processing, Multicore system-on-chip, Real-time processing, Power management, Parallel computing, Portable monitoring systems.

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