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Algorithm for Reliable Detection of Pulse Onsets in Cerebral Blood Flow Velocity Signals.

Nicolas Canac1, Mina Ranjbaran1, Michael J O'Brien1

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Frontiers in Neurology
|November 5, 2019
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Summary

A new algorithm accurately detects pulse onsets in transcranial Doppler (TCD) ultrasound signals for cerebral blood flow velocity (CBFV) measurement. This tool improves hemodynamic assessment in neurocritical care by reliably identifying CBFV pulse onsets.

Keywords:
biomedical signal processingcerebral blood flow velocitypulse heuristic algorithmstranscranial dopplerultrasound

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Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Medical Imaging

Background:

  • Transcranial Doppler (TCD) ultrasound is crucial for assessing cerebral hemodynamics.
  • Accurate cerebral blood flow velocity (CBFV) waveform analysis relies on precise pulse onset detection.
  • Detecting CBFV pulse onsets from TCD signals is challenging due to signal variability.

Purpose of the Study:

  • To evaluate a novel algorithm for robust CBFV pulse onset detection using TCD data.
  • To assess the algorithm's performance on a large, real-world dataset representative of clinical TCD acquisitions.
  • To determine the algorithm's suitability for enhancing neurocritical care monitoring.

Main Methods:

  • A new algorithm employing a moving difference filter and adaptive thresholding was developed.
  • The algorithm sequentially locates pulse onsets within CBFV signals.
  • Performance was evaluated on a dataset of 92,012 annotated CBFV pulses.

Main Results:

  • The algorithm achieved a 99.998% true positive rate and 99.998% positive predictive value.
  • Mean temporal offset error was 6.10 ± 4.75 ms.
  • 97.8% and 99.5% of onsets were detected within 10 ms and 30 ms of true onsets, respectively.

Conclusions:

  • The developed algorithm demonstrates high accuracy and reliability in detecting CBFV pulse onsets.
  • Its performance across varied signal quality suggests significant potential for clinical application.
  • This tool can improve the accuracy of hemodynamic assessments in neurocritical care settings.