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A Neural Network Approach for Inertial Measurement Unit-Based Estimation of Three-Dimensional Spinal Curvature
This study introduces a novel approach to monitor spinal curvature using machine learning and sensors, shifting from static imaging to real-time dynamic analysis. By employing neural networks and inertial measurement units, the method effectively estimates spinal curvature with minimal error, enhancing examination accuracy. Read more
Antibacterial and high-performance bioplastics derived from biodegradable PBST and lignin
This study contributes to the conversion of lignin into multifunctional composites with potential antioxidant and antimicrobial applications. Read more
A Novel Force-Sensing Smart Textile: Inserting Silicone-Embedded FBG Sensors into a Knitted Undergarment
This study presents a novel method for developing force-sensing smart textiles by embedding silicone-enclosed fiber Bragg grating sensors. The innovation enhances sensitivity, flexibility, and real-time data acquisition, aiding in precise bracing treatments for scoliosis, with promising accuracy and adaptability. Read more
An exploratory study of dynamic foot shape measurements with 4D scanning system
This study uses a 4D foot scanning system to analyze foot deformation in diabetic patients, focusing on dynamic shape changes during walking. By employing point cloud registration and measurement extraction algorithms, it aims to enhance insole and footwear comfort through improved understanding of foot dynamics. Read more
Highly Transparent, Mechanical, and Self-Adhesive Zwitterionic Conductive Hydrogels with Polyurethane as Cross-Linker for Wireless Strain Sensors
Zwitterionic hydrogels excel in flexibility, strength, and sensory sensitivity for wearable sensors. Their superior adhesion supports applications in robotics and prosthetics, providing reliable real-time mechanotransduction detection without additional adhesives. Read more
Biofeedback posture training for adolescents with mild scoliosis
Adolescent idiopathic scoliosis (AIS) is characterized by uneven shoulders, spinal curvature, and uneven hips, and asymmetry in paraspinal muscle activities is common in AIS. This pilot study was aimed at examining the use of a surface electromyography (sEMG) biofeedback posture training program in adolescents with mild scoliosis (Cobb’s angle Read more
Tough and Extremely Temperature-tolerance Nanocomposite Organohydrogels as Ultrasensitive Wearable Sensors for Wireless Human Motion Monitoring
MXene hydrogels offer exceptional toughness and sensory performance, ideal for wearable sensors in harsh environments. With antibacterial properties, they are suited for potential medical applications, providing reliable dual-mode sensing and wireless communication. Read more
Ultrafast–response/recovery flexible piezoresistive pressure sensors with DNA–like double helix yarns for epidermal pulse monitoring
This publication reveals textile sensors with a superior recovery index and ultrafast response, addressing hysteresis through innovative yarn design. These sensors excel in monitoring epidermal pulses, showcasing significant potential for advancing pulse palpation in traditional Chinese medicine. Read more
Electromyographic Analysis of Paraspinal Muscles of Scoliosis Patients Using Machine Learning Approaches
A large number of studies have used electromyography (EMG) to measure the paraspinal muscle activity of adolescents with idiopathic scoliosis. However, investigations on the features of these muscles are very limited even though the information is useful for evaluating the effectiveness of various types of interventions, such as scoliosis-specific exercises. Read more
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