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A Device-on-Chip Solution for Real-Time Diffuse Correlation Spectroscopy Using FPGA.

Christopher H Moore1, Ulas Sunar1, Wei Lin1

  • 1Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794, USA.

Biosensors
|August 28, 2024
PubMed
Summary
This summary is machine-generated.

We developed a novel device-on-chip solution for diffuse correlation spectroscopy (DCS) that integrates computational components onto a field-programmable gate array (FPGA) chip. This innovation enables real-time blood flow index (BFI) calculation, paving the way for portable DCS systems.

Keywords:
FPGAFPGA correlatordevice-on-chipdiffuse correlation spectroscopy

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Area of Science:

  • Biomedical optics
  • Medical instrumentation
  • Signal processing

Background:

  • Diffuse correlation spectroscopy (DCS) enables non-invasive assessment of deep tissue blood perfusion.
  • High computational demands of traditional DCS hinder real-time applications.
  • Existing DCS systems are often bulky and expensive due to computational hardware.

Purpose of the Study:

  • To develop a compact, integrated device-on-chip solution for DCS.
  • To enable real-time calculation of blood flow index (BFI).
  • To reduce the cost and footprint of DCS computational components.

Main Methods:

  • Implementation of a novel DCS system on a field-programmable gate array (FPGA) chip.
  • Integration of a multi-tau correlator for autocorrelation function calculation.
  • Inclusion of a DCS analyzer for real-time BFI derivation via curve fitting.
  • Evaluation using phantom and cuff ischemia studies, comparing against a lab-standard DCS system.

Main Results:

  • The FPGA-based DCS system achieved a calculation rate of 6000 BFIs/s.
  • High correlation between the FPGA DCS and reference DCS for light correlation and BFI.
  • Demonstrated a measurement rate of 50 Hz, capable of resolving pulsatile blood flow.
  • Successful validation in phantom and cuff ischemia studies.

Conclusions:

  • The integrated FPGA DCS system provides accurate and real-time blood flow monitoring.
  • This device-on-chip solution significantly reduces computational cost and system size.
  • Enables the development of portable, cost-effective, and real-time DCS systems for broader clinical and research applications.