Machine learning for healthcare radars: Recent progresses in human vital sign measurement and activity recognition
The unprecedented non-contact, non-invasive, and privacy-preserving nature of radar
sensors has enabled various healthcare applications, including vital sign monitoring, fall …
sensors has enabled various healthcare applications, including vital sign monitoring, fall …
Non-Invasive Biosensing for Healthcare Using Artificial Intelligence: A Semi-Systematic Review
T Islam, P Washington - Biosensors, 2024 - mdpi.com
The rapid development of biosensing technologies together with the advent of deep learning
has marked an era in healthcare and biomedical research where widespread devices like …
has marked an era in healthcare and biomedical research where widespread devices like …
Designing and Developing a Vision-Based System to Investigate the Emotional Effects of News on Short Sleep at Noon: An Experimental Case Study
AJ Moshayedi, NMI Uddin, AS Khan, J Zhu… - Sensors, 2023 - mdpi.com
Background: Sleep is a critical factor in maintaining good health, and its impact on various
diseases has been recognized by scientists. Understanding sleep patterns and quality is …
diseases has been recognized by scientists. Understanding sleep patterns and quality is …
[HTML][HTML] Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion data
Background: Flow experience is a specific positive and affective state that occurs when
humans are completely absorbed in an activity and forget everything else. This state can …
humans are completely absorbed in an activity and forget everything else. This state can …
[PDF][PDF] Sieci nski
RJ Doniec, NJ Piaseczna, KA Szymczyk… - Neural …, 2023 - academia.edu
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic,
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
Sensor-based classification of primary and secondary car driver activities using convolutional neural networks
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic,
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
[HTML][HTML] Optimizing sleep staging on multimodal time series: Leveraging borderline synthetic minority oversampling technique and supervised convolutional …
Sleep is an important research area in nutritional medicine that plays a crucial role in human
physical and mental health restoration. It can influence diet, metabolism, and hormone …
physical and mental health restoration. It can influence diet, metabolism, and hormone …
A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable Sensors
Machine learning with deep neural networks (DNNs) is widely used for human activity
recognition (HAR) to automatically learn features, identify and analyze activities, and to …
recognition (HAR) to automatically learn features, identify and analyze activities, and to …
Non-invasive wearable devices for monitoring vital signs in patients with type 2 diabetes mellitus: a systematic review
A Piet, L Jablonski, JI Daniel Onwuchekwa, S Unkel… - Bioengineering, 2023 - mdpi.com
Type 2 diabetes mellitus (T2D) poses a significant global health challenge and demands
effective self-management strategies, including continuous blood glucose monitoring (CGM) …
effective self-management strategies, including continuous blood glucose monitoring (CGM) …
Machine-Learning-Based-Approaches for Sleep Stage Classification Utilising a Combination of Physiological Signals: A Systematic Review
Increasingly prevalent sleep disorders worldwide significantly affect the well-being of
individuals. Sleep disorder can be detected by dividing sleep into different stages. Hence …
individuals. Sleep disorder can be detected by dividing sleep into different stages. Hence …