Document Type
Article
Publication Date
Fall 9-1-2025
Abstract
In recent years, the detection of troponin cardiac proteins has emerged as a crucial component in the diagnosis and management of acute coronary syndromes. This paper presents a tailored analog-to digital converter(ADC) architecture specifically designed to enhance the performance of diagnostic systems for troponin detection. Utilizing a 180 nm CMOS process technology, the developed 8-bit Successive Approximation Register(SAR) ADC integrates key components, including a preamplifier, comparator, and a digital-to-analog converter(DAC), to optimize signal processing and ensure accurate data conversion from analog to digital formats. The ADC architecture is evaluated for its ability to achieve a substantial sampling rate of 10 MS s −1while maintaining a low power consumption of just 9.49 mW, significantly lower than many contemporary systems. This optimized architecture effectively balances resolution and energy efficiency, demonstrating an effective number of bits(ENOB)that is comparable to higher-resolution designs, enhancing the reliability of cardiac diagnostics without compromising performance. The overall conversion time of the ADC is measured at 0.6 μs, enabling fast responses necessary forreal-time monitoring of troponin levels. Comprehensive simulations conducted in the Cadence design environment confirm the functionality and performance of the ADC, with a robust validation of delay and power consumption metrics. Furthermore, the compact design (0.054 mm2 area) of the ADC is ideally suited for integration into portable medical devices, essential for point-of-care applications. The findings underscore the ADC’s potential to significantly improve the detection capabilities of cardiac biomarkers, facilitating timely diagnostics that can lead to better patient outcomes. By presenting a systematic approach to ADC design tailored for biomedical applications, this study establishes a foundation for future innovations in medical monitoring systems, paving the way for enhanced healthcare solutions in the management of cardiac issues.
Recommended Citation
Abdelgawad, Karem and Abdellatif, Sameh O., "A tailored analog-to-digital converter architecture for optimal performance in troponin cardiac protein detection" (2025). Electrical Engineering. 166.
https://buescholar.bue.edu.eg/elec_eng/166