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This paper presents a versatile and portable System on a Chip (SoC) biomedical signal processor which collects and analyzes biomedical signals in real-time. Measurements of the melatonin-mixed potassium ferrocyanide solution and patient specimen experiment are presented for verification. The measurement results show that this proof-of-concept prototype functions as a traditional potentiostat with...
A machine-learning (ML) assisted cardiac sensor SoC (CS-SoC) is designed for mobile healthcare applications. The heterogeneous architecture realizes the cardiac signal acquisition, filtering with versatile feature extractions and classifications, and enables the higher order analysis over traditional DSPs. Besides, the asynchronous architecture with dynamic standby controller further suppresses the...
In this paper, a system for time-frequency analysis of heart rate variability (HRV) using a fast windowed Lomb periodogram is proposed. Time-frequency analysis of HRV is achieved through a de-normalized fast Lomb periodogram with a sliding window configuration. The Lomb time-frequency distribution (TFD) is suited for spectral analysis of unevenly spaced data and has been applied to the analysis of...
A low power biomedical digital signal processor ASIC based on hardware and software codesign methodology was presented in this paper. The codesign methodology was used to achieve higher system performance and design flexibility. The hardware implementation included a low power 32bit RISC CPU ARM7TDMI, a low power AHB-compatible bus, and a scalable digital co-processor that was optimized for low power...
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