Very‐large‐scale integration implementation of the integral pulse frequency modulation model for spectral estimation of heart rate variability

Abstract

Heart rate variability (HRV) can be used to assess autonomic control activities. Among the HRV analysis methods, the integral pulse frequency modulation (IPFM) model demonstrates the functional mechanism for the cardiac pacemaker that can explain the generation of heartbeats. In this study, the IPFM model was implemented into a low-cost very-large-scale integration (VLSI) chip, and the active spectrum of HRV was then estimated by solving for the nerve-modulation signal in the model based on the compressed sensing (CS) method. The proposed IPFM chip utilised a time-sharing scheme for hardware resource sharing, a look-up table to calculate the sine and cosine operations, and multiplexers to control the data flow. Furthermore, based on the hardware resource sharing scheme, the proposed chip achieved a low-cost and high-speed design. Implemented with TSMC 90 nm CMOS technology, the proposed IPFM core had an operation frequency of 62.5 MHz with only 9.8 K gate counts. The spectrum of HRV could be effectively estimated through the VLSI implementation of IPFM based on CS.