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Publication
Architectural Design for Heartbeat Detection Circuits using Verilog-A Behavioral Modeling
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Advisor(s)
Abstract(s)
This work presents a study of two analog frontend circuit architectures for heartbeat detection. Both circuits present an amplification block as the first stage, followed by a band-pass filter. In the first, the heartbeat detection is done using an adaptive threshold based on pulse-width, whereas the heartbeat detection in the second is done using a sample and
hold to find the maximum and minimum peak of each beating.
Both architectures are modeled in Verilog-A and simulated using real-world ECG signals with different characteristics.
This work studies possible fundamental analog circuit blocks suitable for wearable implementation. It evaluates critical
performances requirements from the analysis of the behavior simulations. It was verified that the first circuit can properly
detect heartbeats as long as the input-referred noise is below 21 μV, whereas the second one ensures it until 30 μV. The low
cutoff frequency can be approximately 10 Hz without compromising the signal’s peaks, which means that these specifications can be relaxed substantially compared to systems
intended to reconstruct the signal accurately.
Description
Keywords
Heartbeat Detection Healthcare Verilog-A
Pedagogical Context
Citation
R. Vieira et al., "Architectural Design for Heartbeat Detection Circuits using Verilog-A Behavioral Modeling," 2022 18th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD), Villasimius, Italy, 2022, pp. 1-4
Publisher
IEEE