Advancements in Digital Signal Processing for Medical Communications: Enhancing Healthcare Data Transmission and Speech Signal Analysis
DOI:
https://doi.org/10.48047/vypgqx95Keywords:
communication, digital, signal, implementation, processingAbstract
With the rapid evolution of modern information systems and improvements in healthcare technology, digital data processing has become an integral component of medical communications. The continuous advancement of digital signal processing (DSP) plays a
crucial role in enhancing the efficiency, accuracy, and security of medical data transmission, telemedicine, and biomedical signal analysis. This paper explores the fundamentals of DSP in medical applications, evaluates its advantages and limitations in healthcare communication systems, and examines its specific applications in biomedical speech processing, diagnostic signal interpretation, and wireless medical telemetry. By addressing the transformative impact of DSP in healthcare, this study aims to contribute to the
optimization of medical communication technologies and the effective implementation of advanced signal processing techniques in patient care.
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References
Randhawa, Gurjit S., Kathleen A. Hill, and Lila Kari. "ML-DSP: Machine Learning with Digital Signal Processing for ultrafast, accurate, and scalable genome classification at all taxonomic levels." BMC genomics 20.1 (2019): 1-21.
Thomazella, Rogério, et al. "Digital signal processing for self-vibration monitoring in grinding: A new approach based on the time-frequency analysis of vibration signals." Measurement 145 (2019): 71-83.
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