A predictive model for cortical bone temperature distribution during drilling [0.03%]
钻孔过程中皮质骨温度分布的预测模型
Yahui Hu,Hao Ding,Yutao Shi et al.
Yahui Hu et al.
Bone drilling is an important procedure in medical orthopedic surgery and it is inevitable that heat will be generated during the drilling process and higher temperatures can cause thermal damage to the bone tissue near the drilled hole. Th...
Cloud based ensemble machine learning approach for smart detection of epileptic seizures using higher order spectral analysis [0.03%]
基于云的集成机器学习方法用于癫痫发作智能检测的高阶谱分析
Kuldeep Singh,Jyoteesh Malhotra
Kuldeep Singh
The present paper proposes a smart framework for detection of epileptic seizures using the concepts of IoT technologies, cloud computing and machine learning. This framework processes the acquired scalp EEG signals by Fast Walsh Hadamard tr...
Detection of ventricular arrhythmia using hybrid time-frequency-based features and deep neural network [0.03%]
基于混合时频特征和深度神经网络的心室期前收缩检测方法
Sukanta Sabut,Om Pandey,B S P Mishra et al.
Sukanta Sabut et al.
Sudden cardiac death (SCD) is a major cause of death among patients with heart diseases. It occurs mainly due to ventricular tachyarrhythmia (VTA) which includes ventricular tachycardia (VT) and ventricular fibrillation (VF) conditions. The...
Detection of focal and non-focal EEG signals using non-linear features derived from empirical wavelet transform rhythms [0.03%]
基于经验小波变换节律的非线性特征的集中型和非集中型EEG信号检测方法研究
Hesam Akbari,Muhammad Tariq Sadiq
Hesam Akbari
Surgery is recommended for epilepsy diagnosis in cases where patients do not respond well to anti-epilepsy medications. Successful surgery is essentially dependent on the area suffered from epilepsy, i.e., focal area. Electroencephalogram (...
Hands-on engineering courses in the COVID-19 pandemic: adapting medical device design for remote learning [0.03%]
新冠肺炎疫情期间医学设备设计类工程课的远程教学改革与实践
Yanning Liu,Aishwarya Vijay,Steven M Tommasini et al.
Yanning Liu et al.
The COVID-19 pandemic has challenged the status quo of engineering education, especially in highly interactive, hands-on design classes. Here, we present an example of how we effectively adjusted an intensive hands-on, group project-based e...
Automated detection of arrhythmia from electrocardiogram signal based on new convolutional encoded features with bidirectional long short-term memory network classifier [0.03%]
基于新的卷积编码特征与双向长短时记忆网络分类器的自动心电图信号心律失常检测方法
Saroj Kumar Pandey,Rekh Ram Janghel
Saroj Kumar Pandey
Early detection of cardiac arrhythmia is needed to reduce mortality. Automatically detecting the cardiac arrhythmias is a very challenging task. In this paper, a new deep convolutional encoded feature (CEF) based on non-linear compression c...
Shell properties and concentration stability of acoustofluidic delivery agents [0.03%]
声学流体递送剂的壳层性质及浓度稳定性
Hussain Alsadiq,Karnaker Tupally,Robert Vogel et al.
Hussain Alsadiq et al.
This paper investigates the shell elastic properties and the number-concentration stability of a new acoustofluidic delivery agent liposome in comparison to Definity™, a monolayer ultrasonic contrast agent microbubble. The frequency depend...
Sleep-wake stage detection with single channel ECG and hybrid machine learning model in patients with obstructive sleep apnea [0.03%]
单通道心电图和混合机器学习模型在阻塞性睡眠呼吸暂停患者中的睡眠分期检测研究
Ferda Bozkurt,Muhammed Kürşad Uçar,Cahit Bilgin et al.
Ferda Bozkurt et al.
Sleep staging is an important step in the diagnosis of obstructive sleep apnea (OSA) and this step is performed by a physician who visually scores the electroencephalography, electrooculography and electromyography signals taken by the poly...
An alternative to the use of lead for patient treatment shielding in superficial radiotherapy [0.03%]
浅表放射治疗中患者防护用品铅屏蔽的一种替代品
John Baines,Marcus Powers,Ariadne Shoobridge et al.
John Baines et al.
Lead shielding is commonly used in the delivery of superficial radiotherapy albeit that the toxicity of this substance is of concern. The feasibility of using a non-toxic alternative, AttenuFlex™, is assessed using Xstrahl and Sensus treat...
Hybrid-COVID: a novel hybrid 2D/3D CNN based on cross-domain adaptation approach for COVID-19 screening from chest X-ray images [0.03%]
基于跨领域适应方法的新型混合2D/3D CNN的COVID-19筛查：Hybrid-COVID模型
Khaled Bayoudh,Fayçal Hamdaoui,Abdellatif Mtibaa
Khaled Bayoudh
The novel Coronavirus disease (COVID-19), which first appeared at the end of December 2019, continues to spread rapidly in most countries of the world. Respiratory infections occur primarily in the majority of patients treated with COVID-19...