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Enhancing multichannel laser-doppler vibrometry signals with application to (carotid-femoral) pulse transit time estimation

Simeon Beeckman (UGent) , Yanlu Li (UGent) , Soren Aasmul, Roel Baets (UGent) , Pierre Boutouyrie, Patrick Segers (UGent) and Nilesh Madhu (UGent)
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Abstract
Pulse-wave velocity (PWV) can be used to quantify arterial stiffness, allowing for a diagnosis of this condition. Multi-beam laser-doppler vibrometry offers a cheap, noninvasive and user-friendly alternative to measuring PWV, and its feasibility has been previously demonstrated in the H2020 project CARDIS. The two handpieces of the prototype CARDIS device measure skin displacement above main arteries at two different sites, yielding an estimate of the pulse-transit time (PTT) and, consequently, PWV. The presence of multiple beams (channels) on each handpiece can be used to enhance the underlying signal, improving the quality of the signal for PTT estimation and further analysis. We propose two methods for multi-channel LDV data processing: beamforming and beamforming-driven ICA. Beamforming is done by an SNR-weighted linear combination of the time-aligned channels, where the SNR is blindly estimated from the signal statistics. ICA uses the beamformer to resolve its inherent permutation and scale ambiguities. Both methods yield a single enhanced signal at each handpiece, where spurious peaks in the individual channels as well as stochastic noise are well suppressed in the output. Using the enhanced signals yields individual PTT estimates with a low spread compared to the baseline approach. While the enhancement is introduced in the context of PTT estimation, the approaches can be used to enhance signals in other biomedical applications of multi-channel LDV as well.

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MLA
Beeckman, Simeon, et al. “Enhancing Multichannel Laser-Doppler Vibrometry Signals with Application to (Carotid-Femoral) Pulse Transit Time Estimation.” 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), IEEE, 2023, doi:10.1109/EMBC40787.2023.10340553.
APA
Beeckman, S., Li, Y., Aasmul, S., Baets, R., Boutouyrie, P., Segers, P., & Madhu, N. (2023). Enhancing multichannel laser-doppler vibrometry signals with application to (carotid-femoral) pulse transit time estimation. 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Presented at the IEEE EMBC 2023, Sydney, Australia. https://doi.org/10.1109/EMBC40787.2023.10340553
Chicago author-date
Beeckman, Simeon, Yanlu Li, Soren Aasmul, Roel Baets, Pierre Boutouyrie, Patrick Segers, and Nilesh Madhu. 2023. “Enhancing Multichannel Laser-Doppler Vibrometry Signals with Application to (Carotid-Femoral) Pulse Transit Time Estimation.” In 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE. https://doi.org/10.1109/EMBC40787.2023.10340553.
Chicago author-date (all authors)
Beeckman, Simeon, Yanlu Li, Soren Aasmul, Roel Baets, Pierre Boutouyrie, Patrick Segers, and Nilesh Madhu. 2023. “Enhancing Multichannel Laser-Doppler Vibrometry Signals with Application to (Carotid-Femoral) Pulse Transit Time Estimation.” In 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE. doi:10.1109/EMBC40787.2023.10340553.
Vancouver
1.
Beeckman S, Li Y, Aasmul S, Baets R, Boutouyrie P, Segers P, et al. Enhancing multichannel laser-doppler vibrometry signals with application to (carotid-femoral) pulse transit time estimation. In: 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE; 2023.
IEEE
[1]
S. Beeckman et al., “Enhancing multichannel laser-doppler vibrometry signals with application to (carotid-femoral) pulse transit time estimation,” in 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Sydney, Australia, 2023.
@inproceedings{01HET1REV73CNY89N4H871GY54,
  abstract     = {{Pulse-wave velocity (PWV) can be used to quantify
arterial stiffness, allowing for a diagnosis of this condition.
Multi-beam laser-doppler vibrometry offers a cheap, noninvasive
and user-friendly alternative to measuring PWV, and
its feasibility has been previously demonstrated in the H2020
project CARDIS. The two handpieces of the prototype CARDIS
device measure skin displacement above main arteries at two
different sites, yielding an estimate of the pulse-transit time
(PTT) and, consequently, PWV. The presence of multiple
beams (channels) on each handpiece can be used to enhance
the underlying signal, improving the quality of the signal
for PTT estimation and further analysis. We propose two
methods for multi-channel LDV data processing: beamforming
and beamforming-driven ICA. Beamforming is done by an
SNR-weighted linear combination of the time-aligned channels,
where the SNR is blindly estimated from the signal statistics.
ICA uses the beamformer to resolve its inherent permutation
and scale ambiguities. Both methods yield a single enhanced
signal at each handpiece, where spurious peaks in the individual
channels as well as stochastic noise are well suppressed in
the output. Using the enhanced signals yields individual PTT
estimates with a low spread compared to the baseline approach.
While the enhancement is introduced in the context of PTT
estimation, the approaches can be used to enhance signals in
other biomedical applications of multi-channel LDV as well.}},
  author       = {{Beeckman, Simeon and Li, Yanlu and Aasmul, Soren and Baets, Roel and Boutouyrie, Pierre and Segers, Patrick and Madhu, Nilesh}},
  booktitle    = {{2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)}},
  isbn         = {{9798350324471}},
  issn         = {{1557-170X}},
  language     = {{eng}},
  location     = {{Sydney, Australia}},
  pages        = {{7}},
  publisher    = {{IEEE}},
  title        = {{Enhancing multichannel laser-doppler vibrometry signals with application to (carotid-femoral) pulse transit time estimation}},
  url          = {{http://doi.org/10.1109/EMBC40787.2023.10340553}},
  year         = {{2023}},
}

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