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#2A. Alammar (Damascus University)
Last. H. Nazha (University of Miskolc)
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Abstract null null Objectives null This study aims to evaluate the fatigue stress around custom-made all-on-4 implants system to find out which type of implants have a better performance under different graded multidirectional occlusal forces. null null null Material and methods null 3D normal and implanted models simulating the “All-on-4” concept were created and analyzed under three different conditions of occlusal loadings. Two types of static and fatigue were applied. Stress distribution was...
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#1Y. Mrad (University of Monastir)
#2Yaroub Elloumi (University of Monastir)H-Index: 4
Last. Mohamed Hedi Bedoui (University of Monastir)H-Index: 12
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Abstract null null The glaucoma is an eye disease that causes blindness when it progresses in an advanced stage. Early glaucoma diagnosis is essential to prevent the vision loss. However, early detection is not covered due to the lack of ophthalmologists and the limited accessibility to retinal image capture devices. null In this paper, we present an automated method for glaucoma screening dedicated for Smartphone Captured Fundus Images (SCFIs). The implementation of the method into a smartphone...
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#1Chandan Kumar Jha (IIIT: Indian Institutes of Information Technology)H-Index: 7
#2Maheshkumar H. Kolekar (IITP: Indian Institute of Technology Patna)H-Index: 17
Abstract null null Objective: Globally, cardiovascular diseases (CVDs) are one of the most leading causes of death. In medical screening and diagnostic procedures of CVDs, electrocardiogram (ECG) signals are widely used. Early detection of CVDs requires acquisition of longer ECG signals. It has triggered the development of personal healthcare systems which can be used by cardio-patients to manage the disease. These healthcare systems continuously record, store, and transmit the ECG data via wire...
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#1Nidhi Garg (University Institute of Engineering and Technology, Panjab University)H-Index: 5
#2A. Kumar (Panjab University, Chandigarh)
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Abstract null null Background null Pulse diagnosis (wrist pulse signal) is a well-known traditional technique used for a health examination. It has the potential to detect cardiac and non-cardiac diseases. null null null Objective: null A study was conducted to investigate human emotions using wrist pulse signal assessment. The aim was to categorize anxiety, boredom, physical pain, and reference state by processing and analysis of acquired signals. null null null Method null A protocol was desig...
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#1Jean-Sébastien Baumann (ISPG: Institut Galilée)
#2Emile Jubeli (University of Paris-Sud)H-Index: 12
Last. Céline Falentin-Daudre (ISPG: Institut Galilée)H-Index: 1
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Abstract null null Objectives null To improve the hydrophilicity of cyclic olefin copolymer, a simple and rapid method using two-stage with ultraviolet irradiation was developed in order to graft a bioactive polymer on the surface of these polymers. null null null Materials and Methods null A bioactive polymer, poly(sodium styrene sulfonate) was grafting in two steps on the cyclic olefin copolymer surface. The process consists to activate the surface with ozone and grafting to under UV irradiati...
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#1Thibaud Brochet (University of Rouen)
#2Jerome Lapuyade-Lahorgue (University of Rouen)H-Index: 2
Last. Su Ruan (University of Rouen)H-Index: 27
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Abstract null null 1) Objective null Pulmonary optical endomicroscopy (POE) is an imaging technology in real time. It allows to examine pulmonary alveoli at a microscopic level. Acquired in clinical settings, a POE image sequence can have as much as 25% of the sequence being uninformative frames (i.e. pure-noise and motion artifacts). For future data analysis, these uninformative frames must be first removed from the sequence. Therefore, the objective of our work is to develop an automatic detec...
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#1M.O. Khairandish (Chandigarh University)
#2Meenakshi Sharma (Galgotias University)H-Index: 2
Last. N. Z. Jhanjhi (Taylors University)
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Abstract null null Objective null In this research paper, the brain MRI images are going to classify by considering the excellence of CNN on a public dataset to classify Benign and Malignant tumors. null null null Materials and Methods null Deep learning (DL) methods due to good performance in the last few years have become more popular for Image classification. Convolution Neural Network (CNN), with several methods, can extract features without using handcrafted models, and eventually, show bet...
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#1M. Chen (SEU: Southeast University)
#2Alfredo Hernandez (University of Rennes)H-Index: 21
Abstract null null Objectives null Sepsis is a life-threatening condition which is responsible for a high proportion of intra-hospital deaths and related healthcare costs each year. Early detection and treatment of sepsis episodes is critical, since an early treatment may highly improve prognosis. This study proposed an original method to increase the interpretability of a set of machine learning models for the early detection of sepsis onset. null null null Material and methods null Open data f...
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#2S. Jerritta (Vels University)H-Index: 2
Last. H. Das
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Abstract null null Background null Autism Spectrum Disorder (ASD) is a neurodevelopmental condition that is characterized by various social impairments. Children with ASD have major difficulties in expressing themselves, resulting in stress and meltdowns. Understanding their hidden feelings and needs may help in tackling and avoiding such strenuous behaviors. null null null Objective null This research aims to aid the parents and caretakers of children with ASD to understand the hidden and unexp...
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#1Kebira Azbeg (University of Hassan II Casablanca)H-Index: 1
#2Ouail Ouchetto (University of Hassan II Casablanca)H-Index: 8
Last. Leila Fetjah (University of Hassan II Casablanca)H-Index: 2
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Abstract Objectives With the rapid evolution and technology advancement, the healthcare sector is evolving day by day. It is taking advantage of different technologies such as Internet of things and Blockchain. Several applications related to daily healthcare activities are adopting the use of these technologies. In this paper, we present a review in which we group different healthcare applications that integrate the Internet of things and Blockchain in their systems. Material and methods A revi...
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