Integrating Physiological Data Artifacts Detection With Clinical Decision Support Systems: Observational Study [0.03%]
生理数据异常值检测与临床决策支持系统的整合：观察性研究
Shermeen Nizami,Carolyn McGregor Am,James Robert Green
Shermeen Nizami
Background: Clinical decision support systems (CDSS) have the potential to lower the patient mortality and morbidity rates. However, signal artifacts present in physiological data affect the reliability and accuracy of th...
A Transcranial Magnetic Stimulation Trigger System for Suppressing Motor-Evoked Potential Fluctuation Using Electroencephalogram Coherence Analysis: Algorithm Development and Validation Study [0.03%]
基于脑电相干分析的经颅磁刺激抑制运动诱发电位波动触发系统研发与验证研究
Keisuke Sasaki,Yuki Fujishige,Yutaka Kikuchi et al.
Keisuke Sasaki et al.
Background: Transcranial magnetic stimulation (TMS), when applied over the primary motor cortex, elicits a motor-evoked potential (MEP) in electromyograms measured from peripheral muscles. MEP amplitude has often been obs...
Virtual Reality-Guided Meditation for Chronic Pain in Patients With Cancer: Exploratory Analysis of Electroencephalograph Activity [0.03%]
探索分析虚拟现实引导的冥想在癌症患者慢性疼痛管理中的应用：脑电图活动解析
Henry Fu,Bernie Garrett,Gordon Tao et al.
Henry Fu et al.
Background: Mindfulness-based stress reduction has demonstrated some efficacy for chronic pain management. More recently, virtual reality (VR)-guided meditation has been used to assist mindfulness-based stress reduction. ...
Subspace Clustering of Physiological Data From Acute Traumatic Brain Injury Patients: Retrospective Analysis Based on the PROTECT III Trial [0.03%]
急性脑损伤患者生理数据的子空间聚类：基于PROTECTIII试验的回顾性分析
Sina Ehsani,Chandan K Reddy,Brandon Foreman et al.
Sina Ehsani et al.
Background: With advances in digital health technologies and proliferation of biomedical data in recent years, applications of machine learning in health care and medicine have gained considerable attention. While inpatie...
Plasmonic and Hybrid Whispering Gallery Mode-Based Biosensors: Literature Review [0.03%]
基于等离激元和混合回音壁模式的生物传感器文献综述
Maurizio Manzo,Omar Cavazos,Zhenhua Huang et al.
Maurizio Manzo et al.
Background: The term "plasmonic" describes the relationship between electromagnetic fields and metallic nanostructures. Plasmon-based sensors have been used innovatively to accomplish different biomedical tasks, including...
Smartphone-Based Passive Sensing for Behavioral and Physical Monitoring in Free-Life Conditions: Technical Usability Study [0.03%]
基于智能手机的被动感知在自由生活条件下进行行为和物理监测的技术可用性研究
Simone Tonti,Brunella Marzolini,Maria Bulgheroni
Simone Tonti
Background: Smartphone use is widely spreading in society. Their embedded functions and sensors may play an important role in therapy monitoring and planning. However, the use of smartphones for intrapersonal behavioral a...
Understanding "Atmosome", the Personal Atmospheric Exposome: Comprehensive Approach [0.03%]
理解“大气 exposome（atmosome）”：综合方法
Hari Bhimaraju,Nitish Nag,Vaibhav Pandey et al.
Hari Bhimaraju et al.
Background: Modern environmental health research extensively focuses on outdoor air pollutants and their effects on public health. However, research on monitoring and enhancing individual indoor air quality is lacking. Th...
Neural Network Pattern Recognition of Ultrasound Image Gray Scale Intensity Histograms of Breast Lesions to Differentiate Between Benign and Malignant Lesions: Analytical Study [0.03%]
基于超声图像灰度直方图的神经网络模式识别在良恶性乳腺病变中的区别诊断：分析性研究
Arivan Ramachandran,Shivabalan Kathavarayan Ramu
Arivan Ramachandran
Background: Ultrasound-based radiomic features to differentiate between benign and malignant breast lesions with the help of machine learning is currently being researched. The mean echogenicity ratio has been used for th...
Wearable Bioimpedance Monitoring: Viewpoint for Application in Chronic Conditions [0.03%]
可穿戴生物阻抗监测：在慢性疾病应用中的观点
Willemijn Groenendaal,Seulki Lee,Chris van Hoof
Willemijn Groenendaal
Currently, nearly 6 in 10 US adults are suffering from at least one chronic condition. Wearable technology could help in controlling the health care costs by remote monitoring and early detection of disease worsening. However, in recent yea...
Effectiveness of the BreatheSuite Device in Assessing the Technique of Metered-Dose Inhalers: Validation Study [0.03%]
评估气雾剂技术的BreatheSuite设备有效性的验证研究
Meshari F Alwashmi,Gerald Mugford,Brett Vokey et al.
Meshari F Alwashmi et al.
Background: The majority of medications used in treating asthma and chronic obstructive pulmonary disease (COPD) are taken through metered-dose inhalers (MDIs). Studies have reported that most patients demonstrate poor in...