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Assessing Cerebral Autoregulation via Oscillatory Lower Body Negative Pressure and Projection Pursuit Regression
Published on: December 10, 2014
An algorithm for extracting intracranial pressure latency relative to electrocardiogram R wave
Xiao Hu1, Peng Xu, Darrin J Lee
1Neural Systems and Dynamics Laboratory, Department of Neurosurgery, The David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Physiological Measurement
|March 21, 2008
Summary
A new algorithm accurately measures intracranial pressure (ICP) latency, the time between ECG QRS peak and ICP pulse onset. This automated method shows promise for continuous cerebrovascular monitoring.
Area of Science:
- Biomedical Engineering
- Neuroscience
- Cardiology
Background:
- Intracranial pressure (ICP) latency, the interval between ECG QRS peak and ICP pulse onset, is linked to arterial pulse wave velocity.
- ICP latency offers potential for continuous monitoring of cerebrovascular pathophysiological changes.
Purpose of the Study:
- To develop and validate a computerized algorithm for beat-by-beat ICP latency extraction.
- To assess the algorithm's performance against human observers.
Main Methods:
- Utilized ECG QRS detection and a novel adaptive peak detection methodology.
- Validated the algorithm by comparing its ICP pulse onset detection with two human observers on 59 patient recordings.
- Analyzed mean location errors between human observers and the algorithm.
Main Results:
- The algorithm demonstrated high accuracy, with a baseline sensitivity of 0.97 and positive predictivity of 0.88.
- Average ICP latency was measured at 72.6 ± 19.5 ms.
- No significant difference was found in location errors between the algorithm and human observers.
Conclusions:
- The developed algorithm reliably extracts ICP latency, offering a potential tool for continuous cerebrovascular monitoring.
- Further research is required to establish ICP latency's role in dynamic cerebral vascular changes in conditions like subarachnoid hemorrhage and traumatic brain injury.
