Enhanced fNIRS-Based MCI Detection via Resting-State and Task-State Integration With Spatial-Temporal Feature Reduction [0.03%]
基于静息态和任务态融合的时空特征约简的轻度认知障碍检测增强方法研究——近红外光谱成像技术应用
Chutian Zhang,Hongjun Yang,Jiaxing Wang et al.
Chutian Zhang et al.
Objective: Detection of mild cognitive impairment (MCI), a precursor to dementia, is critical for timely intervention. Functional near-infrared spectroscopy (fNIRS) offers non-invasive, cost-effective, and motion-tolerant...
Wavelet-Based Tremor Quantification From Wrist-Worn Sensor Data in Home-Dwelling People With Parkinson's Disease [0.03%]
基于小波的震颤量化：来自帕金森病患者佩戴腕部传感器的数据在家中的量化
Haakon Reithe,Monica Patrascu,Juan C Torrado et al.
Haakon Reithe et al.
Objective: Tremor symptoms in Parkinson's disease (PD) are challenging to assess due to low resolution and subjectivity from standard clinical scales. To address this, wearable devices have been used, but algorithms have ...
Development of an Optical Sensor for Real-Time Monitoring of Hemodynamic Parameters in Extracorporeal Settings [0.03%]
体外环境下光学传感器的开发用于实时监测血流动力学参数
Osama Elgabori,William B Scammon,Kelly R Strong et al.
Osama Elgabori et al.
Objective: Whole blood oxygen saturation and hemoglobin concentration are key markers of health across a variety of clinical contexts. Extracorporeal systems (dialysis, cardiopulmonary bypass, ECMO, etc.) require close mo...
RECORD: A Simple, Low-Cost, and Open-Source IMU-Based Tool for the Diagnosis of Body Schema Distortions [0.03%]
记录：一种简单的低成本开源惯性测量单元（IMU）工具，用于诊断身体构型扭曲
Luc Marechal,Christian Elmo Kulanesan,Louise Dupraz et al.
Luc Marechal et al.
Objective: In the psychology community, there is currently no standardized framework for assessing body schema distortions, either in research or clinical practice. To address this gap, we propose RECORD (RECOnfiguRing th...
Day-to-Day Variability of Respiratory Resistance in Asthma and COPD: Influence of Intra-Breath Data Sampling and Observation Period [0.03%]
哮喘和COPD患者日常呼吸系统阻力的变异性和呼吸内数据采样的影响关系研究
A Gobbi,C Gulotta,B Suki et al.
A Gobbi et al.
Objective: Assessment of lung function variability is recommended for the diagnosis of asthma, but its specificity in separating asthmatic from COPD subjects is low. This study aimed to test the hypothesis that the day-to...
A Comprehensive Study of Uterine Muscle Activity During the Third Trimester: Comparison of Singleton and Multiple Gestations [0.03%]
全面分析第三孕期子宫肌肉活动：单胎与多胎妊娠的比较
Yu Meng,Javier Garcia-Casado,Gema Prats-Boluda et al.
Yu Meng et al.
Objective: Electrohysterography (EHG) has been shown to provide valuable information for assessing preterm birth risk. However, few studies have focused on multiple gestations (MG), a well-known risk factor for preterm bi...
Design and Validation of a Grasping Force Measuring Vibrotactile Feedback Add-On for Laparoscopic Instruments [0.03%]
一种腹腔镜手术器械抓握力测量振动触觉反馈附件的设计与验证
Jan-Willem Klok,Yannick Smits,Roelf Postema et al.
Jan-Willem Klok et al.
Objective: Grasping force control is crucial for safe laparoscopic surgery. However, force feedback is limited as haptic information on grasping strength and tissue stiffness is mostly lost due to internal instrument back...
Detection of Cervical Intraepithelial Neoplasia Using Hyperspectral Tissue Signatures [0.03%]
基于超光谱组织特征的宫颈上皮内瘤变检测技术研究
Ovidiu Jurjut,Martin Weiss,Yannick Daniel et al.
Ovidiu Jurjut et al.
Cervical intraepithelial neoplasia (CIN) represents a spectrum of premalignant lesions requiring accurate early detection to prevent progression to invasive cervical cancer. Colposcopy with visual inspection using acetic acid (VIA) is the g...
Multimodal Respiratory Rate Estimation From Audio and Video in Emergency Department Patients [0.03%]
基于音频和视频的急诊患者的多模态呼吸率估计
John Harvill,Moitreya Chatterjee,Shaveta Khosla et al.
John Harvill et al.
Given the recent COVID-19 pandemic, there has been a push in the medical community for reliable, remote medical care. The ubiquity of smartphone devices has brought about much interest in the estimation of patient vital signs via an audio o...
Translational Evaluation of a Machine Learning-Based Interactive Lab for Aphasia Rehabilitation in Post Stroke Patients [0.03%]
基于机器学习的卒中后失语症康复互动实验室的评估研究
Mukul Kumar,Rei-Zhe Wu,Shih-Ching Yeh et al.
Mukul Kumar et al.
Objective: To address the limitations of conventional aphasia therapy by developing and clinically evaluating a machine learning based interactive lab for personalized rehabilitation in post-stroke patients. ...
Randomized Controlled Trial
IEEE journal of translational engineering in health and medicine. 2025 Nov 28:13:561-570. DOI:10.1109/JTEHM.2025.3638643 2025