WAVEFORM

Waveform data plays a critical role in modern healthcare diagnostics. Seen Labs provides large-scale, clinically focused annotation of ECG, EEG, and PPG signals to support development of accurate and compliant health AI systems.

Supporting Clinical and Research Objectives

Waveforms from cardiac, neurological, and respiratory monitoring systems are essential for detecting critical conditions. We help clients structure these signals with clinically validated annotations to support research, algorithm training, and regulatory submissions.

Clinical Use Cases We Support

Our team annotates physiological signals using protocols aligned with medical standards, enabling more precise diagnostic modeling and monitoring tools.

• ECG (Electrocardiogram): Segment QRS complexes, P waves, T wave amplitudes, and R-R intervals to assess rhythm, flow, and cardiac function  
• EEG (Electroencephalogram): Identify spikes, sharp waves, and seizure-related patterns for epilepsy or stroke detection  
• PPG (Photoplethysmography): Tag fiducial points and noise to assess blood volume changes and signal quality in wearable or ICU settings

Workflow Built for Complex Signal Data Built to Support Scalable Signal Workflows

Long recordings, high-frequency sampling, and subtle waveform deviations require accurate, scalable annotation workflows. We support projects with automated preprocessing, trained human reviewers, and customizable annotation schemas.

• Range selection and region labeling by medical reviewers  
• Event detection using custom signal features  
• Multimodal support with synchronized audio and video, when applicable 

Focused on Healthcare and Compliance

All annotations are handled by experts with a background in health data and biomedical signal processing. Our infrastructure and practices are compliant with industry standards for data security and quality control.

Integrated Solutions for Health AI

Seen Labs supports a wide range of projects across cardiology, neurology, intensive care, and remote monitoring. Clients rely on us for rapid turnaround, quality assurance, and export-ready formats for model training.

Delivering Reliable Results at Scale

Whether you're training a model to detect arrhythmias or validating devices for FDA clearance, we help you turn raw signal data into structured, usable datasets—accurately and at scale.