Printed Strain Sensors for Motion Recognition: A Review of Materials, Fabrication Methods, and Machine Learning Algorithms [0.03%]
用于运动识别的印刷应变传感器：材料、制造方法和机器学习算法综述
Nathan Zavanelli,Kangkyu Kwon,Woon-Hong Yeo
Nathan Zavanelli
Recent studies in functional nanomaterials with advanced macro, micro, and nano-scale structures have yielded substantial improvements in human-interfaced strain sensors for motion and gesture recognition. Furthermore, fundamental advances ...
Saaid H Arshad,Ryan L Touzjian,Matthew C Jones et al.
Saaid H Arshad et al.
Goal: Non-compressible torso hemorrhage represents a category of lethal injuries in both civilian and military traumatically injured populations that with proper intervention, training, or technological advancements are survivable. Endovasc...
Cross-Scale Guidance Integration Transformer for Instance Segmentation in Pathology Images [0.03%]
基于病理图像实例分割的跨尺度指导集成变压器
Yung-Ming Kuo,Jia-Chun Sheng,Chen-Hsuan Lo et al.
Yung-Ming Kuo et al.
Goal: To assess the degree of adenocarcinoma, pathologists need to manually review pathology images. To reduce their burdens and achieve good inter-observer as well as intra-observer reproducibility, instance segmentation methods can help p...
Assessing the Accuracy of Bed-Occupancy With a tina.care Bed Sensor in Hospital Wards and Home Care Settings: A Pilot Study [0.03%]
使用tina.care卧床传感器评估医院病房和家庭护理环境中的床位占用准确性的试点研究
Tomas Kulhanek,Kvetoslava Hoskova,Jitka Feberova et al.
Tomas Kulhanek et al.
Goal: This pilot study aims to assess accuracy in detecting patient presence or absence by using a bed sensor based on mmwave radar technology above the patient bed. Methods: Patients and healthy volunteers were observed during their presen...
Biomimetic Chitosan-Based Hydrogels for Sustainable Wound Healing With AI/ML Insights [0.03%]
基于壳聚糖的仿生水凝胶结合人工智能/机器学习促进伤口愈合可持续性研究
Shourya Bodla,Prince Jain,Anwesha Khanra et al.
Shourya Bodla et al.
Wound healing process is associated with multifaceted complications and is a functional way to advance the therapeutic process. Polymeric biomaterials exhibit structural mimicry with the extracellular matrix of the tissue to be regenerated ...
A Method for Temporally Resolved Continuous Inline Measurement of Multiple Solute Concentrations With Microfluidic Spectroscopy [0.03%]
基于微流控光谱学的多溶质浓度连续在线测量方法
Andrea Lorenzo Henri Sergio Detry,Vinny Chandran Suja,Nathaniel Merriman Sims et al.
Andrea Lorenzo Henri Sergio Detry et al.
Goal: To develop a compact, real-time microfluidic spectroscopy system capable of simultaneously measuring the concentrations of multiple solutes flowing together through a single fluid pathway with high temporal resolution. Methods: The me...
Fetal Health Prediction From Cardiotocography Recordings Using Kolmogorov-Arnold Networks [0.03%]
基于Kolmogorov-Arnold网络的卡托图胎儿健康预测
W K Wong,Filbert H Juwono,Catur Apriono et al.
W K Wong et al.
Goal: Cardiotocograph (CTG) is a widely used device for monitoring fetal health during the labor phase. However, its interpretation remains challenging due to the complex and nonlinear nature of the data. Therefore, this paper aims to propo...
Ultrasound Segmentation Using Semi-Supervised Learning: Application in Point-of-Care Sarcopenia Assessment [0.03%]
基于半监督学习的超声图像分割方法及其床旁肌肉减少症筛查应用研究
Hamza Rasaee,Maryia Samuel,Bahareh Behboodi et al.
Hamza Rasaee et al.
Ultrasound imaging is crucial in medical diagnostics, offering real-time visualization of internal anatomical structures. However, accurate automatic segmentation of ultrasound images remains challenging, particularly in scenarios with limi...
Low-Rank Adaptation of Pre-Trained Large Vision Models for Improved Lung Nodule Malignancy Classification [0.03%]
预训练大视觉模型的低秩适配以改善肺结节恶性分类
Benjamin P Veasey,Amir A Amini
Benjamin P Veasey
Goal: This paper investigates using Low-Rank Adaptation (LoRA) to adapt large vision models (LVMs) pretrained with self-supervised learning (SSL) for lung nodule malignancy classification. Inspired by LoRA's success in the field of Natural ...
BandFocusNet: A Lightweight Model for Motor Imagery Classification of a Supernumerary Thumb in Virtual Reality [0.03%]
BandFocusNet：虚拟现实中多余拇指运动想象分类的轻量级模型
Haneen Alsuradi,Joseph Hong,Alireza Sarmadi et al.
Haneen Alsuradi et al.
Objective: Human movement augmentation through supernumerary effectors is an emerging field of research. However, controlling these effectors remains challenging due to issues with agency, control, and synchronizing movements with natural l...