Real-time isolation of physiological tremor using recursive singular spectrum analysis and random vector functional link for surgical robotics.

Hand-held robotic instruments enhance precision in microsurgery by mitigating physiological tremor in real time. Current tremor filtering algorithms in these instruments often employ nonlinear phase prefilters to isolate the tremor signal. However, these filters introduce phase distortion in the filtered tremor, compromising accuracy.

Consecutive multiscale feature learning-based image classification model.

Extracting useful features at multiple scales is a crucial task in computer vision. The emergence of deep-learning techniques and the advancements in convolutional neural networks (CNNs) have facilitated effective multiscale feature extraction that results in stable performance improvements in numerous real-life applications. However, currently available state-of-the-art methods primarily rely on a parallel multiscale feature extraction approach, and despite exhibiting competitive accuracy, the models lead to poor results in efficient computation and low generalization on small-scale images.

An integrated mediapipe-optimized GRU model for Indian sign language recognition.

Sign language recognition is challenged by problems, such as accurate tracking of hand gestures, occlusion of hands, and high computational cost. Recently, it has benefited from advancements in deep learning techniques. However, these larger complex approaches cannot manage long-term sequential data and they are characterized by poor information processing and learning efficiency in capturing useful information.

Relationship between various anthropometric measures and apnea-hypopnea index in Korean men.

Objective: Body mass index (BMI) has been shown to be strongly correlated with severity of OSA. However, BMI has not been shown to be correlated with sleep apnea in all patients studied. The purpose of this study was to evaluate the relationship between various anthropometric measures and severity of OSA according to BMI in men.