A5033873422- Non-Invasive Vital Sign Monitoring
- Neonatal Respiratory Health Research
- Neonatal and fetal brain pathology
- Heart Rate Variability and Autonomic Control
- Healthcare Technology and Patient Monitoring
- EEG and Brain-Computer Interfaces
- Infant Health and Development
- Neuroscience of respiration and sleep
- Pressure Ulcer Prevention and Management
- Respiratory Support and Mechanisms
- User Authentication and Security Systems
- Sleep and Work-Related Fatigue
- Obstructive Sleep Apnea Research
- Hemodynamic Monitoring and Therapy
- Congenital Diaphragmatic Hernia Studies
- Social Robot Interaction and HRI
- Optical Imaging and Spectroscopy Techniques
Southern University of Science and Technology
2022-2025
The infant sleep-wake behavior is an essential indicator of physiological and neurological system maturity, the circadian transition which important for evaluating recovery preterm infants from inadequate function cognitive disorders. Recently, camera-based monitoring has been investigated, but challenges generalization caused by variance in clinical environments are not addressed this application. In paper, we conducted a multi-center trial at four hospitals to improve monitoring. Using...
The comprehensive monitoring of cardio-respiratory and neurological events premature infants is desired for the Neonatal Intensive Care Unit (NICU). Video-based infant an emerging tool NICU as it eliminates skin irritations enables new measurements like pain assessment. A multi-modal clinical dataset across measurement EEG videos will be helpful in developing novel solutions care. In this paper, we created such a by simultaneously collecting signals data from critically ill preterm NICU....
Video health monitoring that combines video processing and physiological measurement has enabled contactless vital signs of infants. In the neonatal intensive care unit (NICU), like heart rate (HR) respiratory (RR) is critical for early warning proper treatment The variability in HR (HRV) RR (RRV) equally important, as these indices provide valuable insights into stability infant's autonomic nervous system cardiorespiratory system. This study collected data from 50 preterm infants NICU using...
Camera-based measurement of respiratory rate (RR) is emerging for preterm infants monitoring in Neonatal Intensive Care Units (NICU). Accurate detection region interest (Resp-RoI), e.g. thorax and abdomen infants, essential achieving a fully-automatic solution high-quality RR estimation. However, the application fast Fourier transform (FFT) detecting Resp-RoI premature may not be appropriate due to their irregular breathing patterns. This study proposes new method Resp-RoIs that uses...
It has been reported that the monitoring of sleep postures is useful for treatment and prevention diseases such as obstructive apnea heart failure. Camera-based posture detection attractive nature comfort convenience use. However, main challenge to detect from images body are occluded by bed sheets or covers. To address this issue, we propose a novel occlusion-robust method exploiting rolling motion in video. uses head orientation indicate direction (supine, left right lateral), triggered...
Advancements in video health monitoring opened up new opportunities for contactless infant the Neonatal Intensive Care Unit (NICU). Several studies have demonstrated potential of heart rate variability (HRV) as an early warning measure acute illnesses, such late-onset sepsis and bradycardia. Conventional HRV analysis typically relies on electrocardiography (ECG) or contact photoplethysmography (contact-PPG) that may damage infants' fragile skin. This study aims to investigate feasibility...
Existing respiratory monitoring techniques primarily focus on rate measurement, neglecting the potential of using thoracoabdominal patterns respiration for infant lung health assessment. To bridge this gap, we exploit unique advantage spatial redundancy a camera sensor to analyze motion. Specifically, propose camera-based imaging (CRI) system that utilizes optical flow construct spatio-temporal imager comparing chest and abdominal motion, employs deep learning algorithms identify abdominal,...
Video-based monitoring is a versatile tool for assessing infant activity. Actigraphy regarded as an effective indicator to assess the function of neonatal nervous system. If infants' central system damaged (e.g. cerebral palsy), movement will lose their complexity and variability. Thus continuous body movements newborns considerable clinical importance. Moreover, parts (e.g., head, arms, torso, legs) can show more infant's cognitive development status. This study proposes new method...