The Scientific World JOURNAL · 2014 · 14 citations · 26 references
EngineeringBiomedical EngineeringComputer EngineeringBiomedical Signal ProcessingField-programmable Gate ArraysReconfigurable ComputingBiomedical Signal FilteringCardiac Signal ProcessingDigital Signal ProcessingField-programmable Gate Array ArchitectureLow-power Fpga DesignMedical InstrumentationDigital Signal Processing Block ArchitectureDigital Signal Processing BlocksEmulationField-programmable Gate Arrays (Fpgas)Frequency Domain ProcessingReal-time Signal FilteringReal-time Sound ProcessingSignals
This paper presents the design and evaluation of the hardware circuit for electronic stethoscopes with heart sound cancellation capabilities using field programmable gate arrays (FPGAs). The adaptive line enhancer (ALE) was adopted as the filtering methodology to reduce heart sound attributes from the breath sounds obtained via the electronic stethoscope pickup. FPGAs were utilized to implement the ALE functions in hardware to achieve near real-time breath sound processing. We believe that such an implementation is unprecedented and crucial toward a truly useful, standalone medical device in outpatient clinic settings. The implementation evaluation with one Altera cyclone II-EP2C70F89 shows that the proposed ALE used 45% resources of the chip. Experiments with the proposed prototype were made using DE2-70 emulation board with recorded body signals obtained from online medical archives. Clear suppressions were observed in our experiments from both the frequency domain and time domain perspectives.
26
Adaptive noise cancelling: Principles and applications
Bernard Widrow, John R. Glover, J. McCool et al. · Proceedings of the IEEE · 1975 · 3.9K citations
Chris Cannam, Christian Landone, M. Sandler · 2010 · 282 citations
Reduction of Heart Sounds from Lung Sounds by Adaptive Filterng
V.K. Iyer, Prabhu Ramamoorthy, Hohg Fan et al. · IEEE Transactions on Biomedical Engineering · 1986 · 112 citations