Sorn-Based Cross-Correlation for Scg Signal Peak Detection in Resource-Constrained Systems

Publikationstyp
Conference Paper
Date Issued
2025-06-11
Sprache
English
Author(s)
Rahman, Kazi Mohammad Abidur 
Smart Sensors E-EXK3  
Kulau, Ulf  
Smart Sensors E-EXK3  
Rust, Jochen  
TORE-URI
https://hdl.handle.net/11420/58515
Citation
14th International Conference on Modern Circuits and Systems Technologies, MOCAST 2025
Contribution to Conference
14th International Conference on Modern Circuits and Systems Technologies, MOCAST 2025  
Publisher DOI
10.1109/mocast65744.2025.11083906
Scopus ID
2-s2.0-105022285144
Publisher
IEEE
In this paper, a novel computation scheme of the cross-correlation for seismocardiography (SCG) peak detection in resource-constrained systems is proposed. As cost-optimized FPGAs are usually considered in this scope that contain only a small number of DSPs, the excessive use of multipliers quickly exceeds the available fabric resources. To overcome this drawback, Sets-Of-Real-Numbers (SORNs) are taken into account, which generally leads to a significant reduction of complexity at the cost of precision impairments. For evaluation, cross-correlation hardware architecture is implemented in VHDL considering SORN-based multipliers into account and compared to standard fixed-point. The results show a reduction in complexity for LUTs of up to 46 %, highlighting our approach as a feasible solution for resource-constrained systems.
DDC Class
600: Technology