Stability analysis on the effects of heart rate variability and premature activation of atrial ECG dynamics using ARMAX model [0.03%]
基于ARMAX模型的心电图动力学的HRV和房性早搏效应的稳定性分析
Jyothsana Arumughan,Arya Bhardwaj,J Sivaraman
Jyothsana Arumughan
The cellular action potential of cardiac muscles generates Electrocardiogram (ECG) signals. Disturbances in cardiac cells are determined by analyzing the stability of ECG intervals. The PTa Interval (PTaI) of ECG represents the atrial Actio...
Pathological discrimination of the phonocardiogram signal using the bispectral technique [0.03%]
双谱技术在心音图病理信号鉴别中的应用研究
Sid Ahmed Berraih,Yettou Nour Elhouda Baakek,Sidi Mohammed El Amine Debbal
Sid Ahmed Berraih
Phonocardiography is a dynamic non-invasive and relatively low-cost technique used to monitor the state of the mechanical activity of the heart. The recordings generated by such a technique is called phonocardiogram (PCG) signals. When show...
Visualization of blurring process due to analog components in a digital radiography system using a simple method [0.03%]
利用简单方法可视化数字X射线系统中模拟组件的模糊过程
Sho Maruyama
Sho Maruyama
To obtain useful medical X-ray images for diagnosis, it is necessary to accurately evaluate the characteristics and fully understand the features of the system to determine the imaging target and conditions. This study describes the perform...
Development of a method for treating lower-eyelid carcinomas using superficial high dose rate brachytherapy [0.03%]
浅层高剂量率组织间放射治疗下睑癌的临床研究
H Stephens,C Deans,D Schlect et al.
H Stephens et al.
In this study, a method was developed for delivering high dose rate (HDR) brachytherapy treatments to basal cell carcinomas (BCCs) as well as squamous cell carcinomas (SCCs) of the lower eyelid via superficial catheters. Clinically-realisti...
Classification of schizophrenia using general linear model and support vector machine via fNIRS [0.03%]
基于fNIRS的广义线性模型和支集向量机分类精神分裂症
Lei Chen,Qiang Li,Hong Song et al.
Lei Chen et al.
Schizophrenia is a type of serious mental illness. In clinical practice, it is still a challenging problem to identify schizophrenia-related brain patterns due to the lack of objective physiological data support and a unified data analysis ...
EEG-based deep learning model for the automatic detection of clinical depression [0.03%]
基于EEG的深度学习模型在临床抑郁症自动检测中的应用研究
Pristy Paul Thoduparambil,Anna Dominic,Surekha Mariam Varghese
Pristy Paul Thoduparambil
Clinical depression is a neurological disorder that can be identified by analyzing the Electroencephalography (EEG) signals. However, the major drawback in using EEG to accurately identify depression is the complexity and variation that exi...
Assessing the suitability of a two-dimensional array for routine quality assurance checks of flatness and symmetry [0.03%]
评估二维数组用于常规质量保证检查的适配性，特别是平坦性和对称性的检查
Salma Ibrahim,Venkatakrishnan Seshadri,Paul Charles
Salma Ibrahim
Quality assurance of radiotherapy linear accelerator beams demands the use of equipment with high resolution and reliability of reproducible results over time. This study examines the suitability of a commercially available two-dimensional ...
M S Swapna,A Renjini,Vimal Raj et al.
M S Swapna et al.
Since the outbreak of the pandemic Coronavirus Disease 2019, the world is in search of novel non-invasive methods for safer and early detection of lung diseases. The pulmonary pathological symptoms reflected through the lung sound opens a p...
Evaluation of magnetic resonance angiography as a possible alternative to rotational angiography or computed tomography angiography for assessing cerebrovascular computational fluid dynamics [0.03%]
磁共振血管造影可能作为旋转血管造影或计算机断层血管造影评估脑血管计算流体动力学的替代方法的评价
Yuya Yoneyama,Haruo Isoda,Kenta Ishiguro et al.
Yuya Yoneyama et al.
The aim of this study was to conduct a flow experiment using a cerebrovascular phantom and investigate whether magnetic resonance angiography (MRA) could replace three-dimensional rotational angiography (RA) and computed tomography angiogra...