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2023-presentActive

Seizure Detection in Animals

Pose estimation, seizure-state prediction, and behavior analysis for induced and natural conditions.

Role
AI Researcher
Context
AMC, GE HealthCare, and University at Albany
Focus
Healthcare AI, Pose Estimation, Behavior Analysis, Prediction

Problem

Support seizure-state detection and behavior analysis from visual observations.

Context

The current portfolio identifies pose estimation, seizure-state prediction, and analysis of induced and natural conditions.

My role

Developed system components across pose and prediction workflows.

Constraints

Architecture

TODO_REVIEW: Add the approved data, pose-estimation, temporal modeling, and evaluation pipeline.

Technical decisions

TODO_REVIEW: Document model families, temporal windows, labeling process, and validation design.

Trade-offs

TODO_REVIEW: Document sensitivity/specificity, interpretability, and deployment trade-offs.

Results

TODO_REVIEW: Add verified results only after approval.

Screenshots

TODO_REVIEW: Add approved visualizations with appropriate privacy review.

TODO_REVIEW: Add public paper, lab, or project links.