Establishment of High-Precision Ultrasound Diagnosis Methods Based on the Introduction of Deep Learning [0.03%]
基于深度学习引入的高精度超声诊断方法建立
Masaaki Komatsu,Reina Komatsu,Akira Sakai et al.
Masaaki Komatsu et al.
Ultrasound imaging is widely used owing to its affordability, radiation-free, and non-invasive advantages. However, limitations stemming from operator dependence and artifacts have been noted. To address these issues, deep learning (DL) is ...
Assistive Trajectory Planning for Lower Limb Exoskeletons: Strategies From Laboratory-Optimized Gait to Environmentally-Adaptive Locomotion Through Multimodal Parameter Awareness [0.03%]
基于多模态参数感知的下肢外骨骼助行轨迹规划：从实验室优化步态到环境自适应行走
Qihan Ye,Xingbang Yang,Ruoqi Zhao et al.
Qihan Ye et al.
Lower limb assistive exoskeletons (LLEs) show great potential to reduce metabolic cost, improve walking performance, and correct abnormal gait patterns. Among their core control architectures, assistive trajectory planning is key to determi...
Modeling Brain-Heart Interaction: A Review of Mechanistic Dynamical Models [0.03%]
脑-心交互作用机制动力学模型研究综述
Sara Nour Sadoun,Arnaud Boutin,Francois Cottin et al.
Sara Nour Sadoun et al.
Brain-heart interaction (BHI) is fundamental to autonomic regulation and also shapes perceptual salience, attentional control, decision-making under load, and affective reactivity. Beyond these functions, BHI has been consistently implicate...
Readout Techniques and Offset Compensation Strategies for Biomedical Resistive MEMS Sensors: A Comprehensive Review [0.03%]
用于生物医学电阻式MEMS传感器的读出技术和偏置补偿策略综述
Reza Bostani,Esmaeil Ranjbar Koleibi,Gabriel Gagnon-Turcotte et al.
Reza Bostani et al.
Resistive MEMS sensors have become increasingly significant in biomedical and bioenvironmental monitoring due to their compact dimensions, low energy demand, and high sensitivity. Despite structural simplicity and integration benefits, thes...
Advancing Embodied Intelligence in Robotic-Assisted Endovascular Procedures: A Systematic Review of AI Solutions [0.03%]
机器人辅助血管内手术中人工智能解决方案的系统性回顾：迈向实体智能的新时代
Tianliang Yao,Bo Lu,Markus Kowarschik et al.
Tianliang Yao et al.
Endovascular procedures have revolutionized vascular disease treatment, yet their manual execution is challenged by the demands for high precision, operator fatigue, and radiation exposure. Robotic systems have emerged as transformative sol...
Cristina Montero-Pardo,Eduardo Rocon,Strahinja Dosen et al.
Cristina Montero-Pardo et al.
Pathological tremor affects over 40 million people worldwide, significantly impairing daily activities and quality of life. Pharmacological treatments show limited efficacy, with up to 30% discontinuation rates, while surgical interventions...
FHIR in Focus: Enabling Biomedical Data Harmonization for Intelligent Healthcare Systems [0.03%]
以FHIR为中心：实现生物医学数据统一以支持智能医疗系统
Andrew Hornback,Benoit Marteau,Shaun Q Y Tan et al.
Andrew Hornback et al.
Fast Healthcare Interoperability Resources (FHIR), developed by Health Level Seven International (HL7), has emerged as the leading healthcare data standard to address persistent barriers in interoperability, fragmented exchange, and inconsi...
Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics [0.03%]
基于深度学习的脑电波信号分析：推进神经诊断技术
Jiahe Li,Xin Chen,Fanqi Shen et al.
Jiahe Li et al.
Neurological disorders pose major global health challenges, driving advances in brain signal analysis. Scalp electroencephalography (EEG) and intracranial EEG (iEEG) are widely used for diagnosis and monitoring. However, dataset heterogenei...
Technical Parameters and Feedback Control for Blood-Brain Barrier Permeability Enhancement by Focused Ultrasound [0.03%]
聚焦超声技术参数及反馈控制用于改善血脑屏障通透性
Yuexi Huang,Kullervo Hynynen
Yuexi Huang
Focused ultrasound combined with intravenously infused microbubbles has been shown to effectively enhance the permeability of the blood-brain barrier, facilitating drug delivery to the brain. A wide range of technical parameters has been ev...
Robot-Mediated Physical Human-Human Interaction in Rehabilitation: A Position Paper [0.03%]
康复中的机器人介导的物理人机交互：立场文件
Lorenzo Vianello,Matthew Short,Julia Manczurowsky et al.
Lorenzo Vianello et al.
Neurorehabilitation conventionally relies on the interaction between a patient and a physical therapist. Robotic systems can improve and enrich the physical feedback provided to patients after neurological injury, but they under-utilize the...