NICU | CV_YIMING_ZHONG

A Pilot Clinical Study to Understand the Relationship between General Movements and Ultra-Short-Term HRV of Neonates

Wed, 29 Oct 2025 00:00:00 +0000

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Camera-based Analysis of Motion Coordination Between Infant Left and Right Limbs: A Clinical Study in NICU.

Thu, 17 Jul 2025 00:00:00 +0000

Contactless Smart Infant Sleep Monitoring System

Sat, 01 Feb 2025 00:00:00 +0000

Developed a multispectral physiological imaging system for precise, contactless monitoring of infant vital signs, in collaboration with a leading hospital in Wenzhou.

Established an interpretable video-based sleep/wake classification model to enhance monitoring accuracy from consumer-grade to clinical-grade standards.

Leveraged ECG and PPG signals to extract and validate infant motion metrics for preliminary sleep analysis.

Deployed open-source human pose estimation and optical flow algorithms to compute key-point motion features, confirming feasibility of camera-based polysomnography (PSG) for infant sleep staging.

Conducted camera-based PSG monitoring on 100 infants to establish normative sleep-stage benchmarks.

Extracted limb movement coordination and intensity features from video data, applying SVM and Random Forest classifiers for binary and multi-class sleep-stage classification.

Applied DL algorithms (LSTM, Transformer) to improve the accuracy of infant sleep stage classification.

Multidimensional Video-based Contactless Infant Seizure Monitoring

Mon, 01 Apr 2024 00:00:00 +0000

Developed a real-time monitoring and prediction algorithm for infant seizures in collaboration with a a leading tertiary hospital in Guangzhou, aiming to establish a low-cost, contactless detection system to mitigate resource limitations and inconsistencies in seizure diagnosis quality.

Preprocessed raw ECG signals to extract heart rate and calculate heart rate variability (HRV).

Utilized remote photoplethysmography (rPPG) to extract heart rate and HRV from video data for non-invasive physiological monitoring.

Applied optical flow techniques to analyze global and skin-region motion in vEEG videos.

Deployed open-source human pose estimation tools to detect infant keypoints and compute motion intensity.

Analyzed limb movement intensity using cross-correlation and Pearson correlation coefficients to integrate motion and physiological signals.

Introduced a camera-based solution for NICU settings, enabling contactless monitoring of infant motion and vital signs with improved precision and efficiency.