Related Experiment Video
Updated: Jan 31, 2026

Epidural Intracranial Pressure Measurement in Rats Using a Fiber-optic Pressure Transducer
Published on: April 25, 2012
An active learning framework for enhancing identification of non-artifactual intracranial pressure waveforms
Murad Megjhani1, Ayham Alkhachroum1, Kalijah Terilli1
1Department of Neurology, Columbia University Irving Medical Center, New York, NY, United States of America.
Objective:
Intracranial pressure (ICP) is an important and established clinical measurement that is used in the management of severe acute brain injury. ICP waveforms are usually triphasic and are susceptible to artifact because of transient catheter malfunction or routine patient care. Existing methods for artifact detection include threshold-based, stability-based, or template matching, and result in higher false positives (when there is variability in the ICP waveforms) or higher false negatives (when the ICP waveforms lack complete triphasic components but are valid).
Approach:
We hypothesized that artifact labeling of ICP waveforms can be optimized by an active learning approach which includes interactive querying of domain experts to identify a manageable number of informative training examples.
Main Results:
The resulting active learning based framework identified non-artifactual ICP pulses with a superior AUC of 0.96 + 0.012, compared to existing methods: template matching (AUC: 0.71 + 0.04), ICP stability (AUC: 0.51 + 0.036) and threshold-based (AUC: 0.5 + 0.02).
Significance:
The proposed active learning framework will support real-time ICP-derived analytics by improving precision of artifact-labelling.
Related Concept Videos
Effective Value of a Periodic Waveform
The effective value of a periodic current represents the direct current (DC) that conveys the same average power to a resistor as the periodic current itself. This concept is crucial when assessing AC circuits. To determine the...
Avoidance Learning and Learned Helplessness
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
Vapor Pressure
Self-Evaluation: Self-Enhancement and Self-Verification
Definition and Measurement of Pressure: Atmospheric Pressure, Barometer, and Manometer
Associative Learning
Classical conditioning, also known...

