A review of IoT-enabled mobile healthcare: technologies, challenges, and future trends
Y Yang, H Wang, R Jiang, X Guo… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) has grown over decades to encompass many forms of sensing
modalities, and continues to improve in terms of sophistication and lower costs. The trend of …
modalities, and continues to improve in terms of sophistication and lower costs. The trend of …
Skin-interfaced wireless biosensors for perinatal and paediatric health
Continuous monitoring of the parameters that define physiological health status is an
essential aspect of modern care for critically ill patients, particularly for vulnerable …
essential aspect of modern care for critically ill patients, particularly for vulnerable …
Novel AI driven approach to classify infant motor functions
The past decade has evinced a boom of computer-based approaches to aid movement
assessment in early infancy. Increasing interests have been dedicated to develop AI driven …
assessment in early infancy. Increasing interests have been dedicated to develop AI driven …
[HTML][HTML] Highly accurate multimodal monitoring of lactate and urea in sweat by soft epidermal optofluidics with single-band Raman scattering
The shifting paradigm in clinical practice to remote healthcare underscores the need to
develop novel biosensing modalities to rapidly and continuously assess digital and …
develop novel biosensing modalities to rapidly and continuously assess digital and …
Wearable human motion posture capture and medical health monitoring based on wireless sensor networks
L Gao, G Zhang, B Yu, Z Qiao, J Wang - Measurement, 2020 - Elsevier
Wireless wearable technology is widely used in health monitoring, rehabilitation training and
other fields. In this paper, motion capture sensors are used to collect human motion data …
other fields. In this paper, motion capture sensors are used to collect human motion data …
[HTML][HTML] An automated bedside measure for monitoring neonatal cortical activity: a supervised deep learning-based electroencephalogram classifier with external …
Background Electroencephalogram (EEG) monitoring is recommended as routine in
newborn neurocritical care to facilitate early therapeutic decisions and outcome predictions …
newborn neurocritical care to facilitate early therapeutic decisions and outcome predictions …
Ai approaches towards Prechtl's assessment of general movements: A systematic literature review
General movements (GMs) are spontaneous movements of infants up to five months post-
term involving the whole body varying in sequence, speed, and amplitude. The assessment …
term involving the whole body varying in sequence, speed, and amplitude. The assessment …
Unsupervised human pose estimation through transforming shape templates
Human pose estimation is a major computer vision problem with applications ranging from
augmented reality and video capture to surveillance and movement tracking. In the medical …
augmented reality and video capture to surveillance and movement tracking. In the medical …
Invariant representation learning for infant pose estimation with small data
Infant motion analysis is a topic with critical importance in early childhood development
studies. However, while the applications of human pose estimation have become more and …
studies. However, while the applications of human pose estimation have become more and …
Intelligent wearable allows out-of-the-lab tracking of develo** motor abilities in infants
M Airaksinen, A Gallen, A Kivi… - Communications …, 2022 - nature.com
Background Early neurodevelopmental care needs better, effective and objective solutions
for assessing infants' motor abilities. Novel wearable technology opens possibilities for …
for assessing infants' motor abilities. Novel wearable technology opens possibilities for …