A5042273602- Muscle activation and electromyography studies
- EEG and Brain-Computer Interfaces
- Soft Robotics and Applications
- Prosthetics and Rehabilitation Robotics
- Neuroscience and Neural Engineering
- Robot Manipulation and Learning
- Stroke Rehabilitation and Recovery
- Advanced MRI Techniques and Applications
- Motor Control and Adaptation
- Advanced Sensor and Energy Harvesting Materials
- Social Robot Interaction and HRI
- Surgical Simulation and Training
- Minimally Invasive Surgical Techniques
- Heart Rate Variability and Autonomic Control
- Robotic Locomotion and Control
- Context-Aware Activity Recognition Systems
- Gaze Tracking and Assistive Technology
- Hand Gesture Recognition Systems
- Electrical and Bioimpedance Tomography
- Gait Recognition and Analysis
- Tactile and Sensory Interactions
- Pain Mechanisms and Treatments
- Atomic and Subatomic Physics Research
- Retinal Imaging and Analysis
- Non-Invasive Vital Sign Monitoring
Chiba University
2016-2025
Fuzhou University
2024
First Affiliated Hospital of Anhui Medical University
2024
South China Agricultural University
2024
Guangzhou Vocational College of Science and Technology
2024
Anhui Medical University
2024
Shanxi Agricultural University
2024
Bharathiar University
2020
SRM Institute of Science and Technology
2020
XinHua Hospital
2019
Epilepsy is a common neurological disorder that characterized by the recurrence of seizures. Electroencephalogram (EEG) signals are widely used to diagnose Because non-linear and dynamic nature EEG signals, it difficult effectively decipher subtle changes in these visual inspection using linear techniques. Therefore, methods being researched analyze signals. In this work, we use recorded Recurrence Plots (RP), extract Quantification Analysis (RQA) parameters from RP order classify into...
Cancer-associated fibroblasts (CAFs), one of the principal constituents tumor microenvironment, have a pivotal role in progression. Dysregulation microRNAs (miRNAs) CAFs contributes to tumor-promoting ability CAFs. However, mechanism underlying involvement miRNAs gastric cancer (GC) is not fully understood. This study aimed explore effects miRNA-214 on GC migration and invasion.The primary corresponding normal (NFs) were isolated. Cell counting kit-8, EdU cell proliferation staining...
Prosthetic hand users have to rely extensively on visual feedback, which seems lead a high conscious burden for the users, in order manipulate their prosthetic devices. Indirect methods (electro-cutaneous, vibrotactile, auditory cues) been used convey information from artificial limb amputee, but usability and advantages of these feedback were explored mainly by looking at performance results, not taking into account measurements user's mental effort, attention, emotions. The main objective...
This brief proposes a compact high-efficiency broadband microwave rectifier for energy harvesting. The proposed is designed to operate over broad bandwidth spanning from 2 3 GHz and an input power dynamic range 0 dBm 10 dBm. In the structure, low-loss matching network dc-pass filter with stopband were designed, leading high conversion efficiency in wide frequency compactness. For network, low loss size achieved by strategically choosing designing three transmission line segments. Moreover,...
Microstrip line (MLIN)-based glucose sensors have been used for noninvasive monitoring. However, the current MLIN-based solutions do not provide enough sensitivity. The reason this is that they rely on fringing field of an MLIN leads to a shallow penetration depth and thus low In paper, we propose sensitive sensor using main field. idea illustrated following three steps. Step 1 sensing level by field, which uses material under test (MUT) as substrate terminated with load; 2 identifying...
This paper describes a computer-based identification system of normal and alcoholic Electroencephalography (EEG) signals. The was constructed from feature extraction classification algorithms. based on wavelet packet decomposition (WPD) energy measures. Feature fitness established through the statistical t-test method. extracted features were used as training test data for competitive 10-fold cross-validated analysis six showed that, with an accuracy 95.8%, k-nearest neighbor (k-NN)...
Soft actuators developed for hand rehabilitation show promise, but their practical application requires addressing individual differences and establishing suitable design rules. While joint modular soft offer flexibility diverse dimensions, existing performance validations have only examined a limited number of actuator sizes neglected crucial factors like alignment. Customization efforts lacked standardization, relying on trial-and-error approach. Therefore, this study systematically...
Studies have developed various types of soft robotic gloves for hand rehabilitation in recent years. Most actuators achieved a sufficient thumb flexion assist while lacking opposition support, which requires the coordination and abduction-adduction. The difficulties support lie intrinsic complexity movements spatial restriction hand. To realize multiple degrees freedom make effective use limited space hand's dorsal side, we optimized compared two approaches support. combination approach used...
The combination of smart soft composite structure based shape memory alloy (SMA) and exoskeleton technology has the advantages light weight, energy saving, great human-exoskeleton interaction. However, there are no relevant studies on application SMA-based (SSCS) in hand exoskeletons. main difficulty is that directional mechanical properties SSCS need to comply with fingers movement, can deliver enough output torque displacement joints. This paper aims study for wearable rehabilitation...
Abstract This paper proposes a novel learning method for prosthetic hand control. Conventional works have used off‐line methods control, and hence two kinds of training must be carried out separately: one is the amputee to control hands, other controller adapt amputee's variations. Consequently, an cannot acquire sensations operating hands through training, nevertheless he or she likely experience difficulties in forcing follow change his her own characteristics practical use. We accordingly...
Conventional strongly coupled magnetic resonance (SCMR) wireless power transfer (WPT) systems have high quality factor (Q), leading to limited system bandwidths. In practical applications, especially in human-involved environments, the resonant frequency of SCMR resonators will shift due effect highly dielectric human body. this letter, a wideband four-coil WPT is proposed by improving coupling between tx/rx coil and their corresponding resonators. The bandwidth increased over 100% compared...
In this letter, a microstrip line (MLIN)-based glucose sensor with significant improvement in sensitivity over sensors of the same category is proposed for noninvasive monitoring. It has T-shaped patterned signal using main field an MLIN sensing. Glucose under monitoring serves as substrate MLIN. The pattern designed enhancing interaction improving sensor. achieves much higher than that state-of-the-art MLIN-based concentrations and comparable to resonance-based improved robustness....
Because of the workforce shortage in Japan, use home-care robots, or carebots, is increasingly perceived as a realistic option. Developing and implementing these carebots requires careful consideration ethical implications for all types users. Few studies, however, have addressed principles concepts involved carebot use, consequently, discussion regarding roboethics environment has been inadequate. This questionnaire study explored relationship between willingness professionals to their...
Applying soft actuators to hand motion assist for rehabilitation has been receiving increasing interest in recent years. Pioneering research efforts have shown the feasibility of gloves (SRGs). However, one important and practical issue, effects users’ individual differences finger size joint stiffness on both bending performance (e.g., Range (ROM) torque) mechanical loads applied joints when are placed a patient’s hand, not well investigated. Moreover, design considerations SRGs users,...
Abstract. Shape memory alloy (SMA) is a kind of active deformation material with self-sensing and driving ability. It very similar to the performance human muscles, through temperature changes produce phase output force displacement, it has ability restore initial shape size. The combination SMA wearable robotic technology advantages being light weight, energy-saving, having great human–exoskeleton interaction. However, existing flexible exoskeletons driven by are only designed bionic...
Transcutaneous Electrical Stimulation (TES) has been used widely to recover motor functions in neurologically impaired individuals by artificially activating skeletal muscles using superficial electrodes. Some simulation studies have investigated the percentage of fibers activated denervated muscles, comfort and selectivity, influence fat thickness case obese people, optimize inter-electrode distance electrode size. However, effect distance, shape size might be further analyzed activation...