The role of AI in hospitals and clinics: transforming healthcare in the 21st century
As healthcare systems around the world face challenges such as escalating costs, limited
access, and growing demand for personalized care, artificial intelligence (AI) is emerging as …
access, and growing demand for personalized care, artificial intelligence (AI) is emerging as …
Foundation model for advancing healthcare: Challenges, opportunities, and future directions
Foundation model, which is pre-trained on broad data and is able to adapt to a wide range
of tasks, is advancing healthcare. It promotes the development of healthcare artificial …
of tasks, is advancing healthcare. It promotes the development of healthcare artificial …
Noise-Factorized Disentangled Representation Learning for Generalizable Motor Imagery EEG Classification
Motor Imagery (MI) Electroencephalography (EEG) is one of the most common Brain-
Computer Interface (BCI) paradigms that has been widely used in neural rehabilitation and …
Computer Interface (BCI) paradigms that has been widely used in neural rehabilitation and …
EMG-based human motion analysis: A novel approach using towel electrodes and transfer learning
This article presents an innovative solution for electromyography (EMG)-based human
motion analysis systems, addressing challenges of sensor comfort, interindividual variations …
motion analysis systems, addressing challenges of sensor comfort, interindividual variations …
Differentially private integrated decision gradients (idg-dp) for radar-based human activity recognition
I Zakariyya, L Tran, KB Sivangi, P Henderson… - arxiv preprint arxiv …, 2024 - arxiv.org
Human motion analysis offers significant potential for healthcare monitoring and early
detection of diseases. The advent of radar-based sensing systems has captured the …
detection of diseases. The advent of radar-based sensing systems has captured the …
[HTML][HTML] Optimizing Spectral Utilization in Healthcare Internet of Things
The mainstream adoption of Internet of Things (IoT) devices for health and lifestyle tracking
has revolutionized health monitoring systems. Sixth-generation (6G) cellular networks …
has revolutionized health monitoring systems. Sixth-generation (6G) cellular networks …
Finding Neural Biomarkers for Motor Learning and Rehabilitation using an Explainable Graph Neural Network
Human motor learning is a neural process essential for acquiring new motor skills and
adapting existing ones, which is fundamental to everyday activities. Neurological disorders …
adapting existing ones, which is fundamental to everyday activities. Neurological disorders …
[HTML][HTML] Quantifying Asymmetric Gait Pattern Changes Using a Hidden Markov Model Similarity Measure (HMM-SM) on Inertial Sensor Signals
Wearable gait analysis systems using inertial sensors offer the potential for easy-to-use gait
assessment in lab and free-living environments. This can enable objective long-term …
assessment in lab and free-living environments. This can enable objective long-term …
Enhancing Medical Training through Learning from Mistakes by Interacting with an Ill-trained Reinforcement Learning Agent
This article presents a 3-D medical simulation that employs reinforcement learning (RL) and
interactive RL (IRL) to teach and assess the procedure of donning and doffing personal …
interactive RL (IRL) to teach and assess the procedure of donning and doffing personal …
Learning Semi-Supervised Medical Image Segmentation from Spatial Registration
Semi-supervised medical image segmentation has shown promise in training models with
limited labeled data and abundant unlabeled data. However, state-of-the-art methods ignore …
limited labeled data and abundant unlabeled data. However, state-of-the-art methods ignore …