Medical Waveform Annotation for AI

Waveforms are critical indicators that can be leveraged to train predictive algorithms.

Our annotation platform enables clients to structure waveforms by both classifying features within the waveform and segmenting regions of interest.

Use cases

EEG

Identify sharp waves, spikes or spike-and-wave complexes to understand epilepsy, seizures, stroke or tumor presence.

ECG

Tag patterns (e.g. P waves), size (e.g. T wave amplitude) and time ranges (e.g. QRS complex, R-R intervals) associated with cardiac rhythm disturbances, blood flow, and electrolyte changes.

PPG

Identify fiducial points and noise in the waveform to better understand volumetric changes in blood in peripheral circulation.

Annotation types

Classification

Range selection

Trusted by AI leaders across healthcare

“The Centaur.ai platform provided labels at a scale that was 10x, or 20x, anything we had done by ourselves. Tremendous scale, tremendous throughput, and high quality labels.”

Daniel Barbosa
Machine Learning Engineer

“Annotations that would have taken me 3 months to complete with our prior data annotation system, Centaur.ai completed in only 2 weeks.”

Eric Olson
Founder and CEO

"Centaur.ai made it easy and fun to collect data labels that enable our cardiology AI research. They are an ideal partner for collecting troves of opinions in a matter of days."

Dr. Gordon S. Huggins, MD
Cardiology Fellowship Program Director