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Pathological high-frequency oscillations (HFOs, 200–600 Hz) observed in depth-EEG and on scalp EEG recordings are recognized to be potentially valuable biomarkers of the epileptogenic zone responsible for generating seizures. Many research studies have been dedicated to detect, classify, simulate and understand the underlying mechanisms responsible for their generation. However, broadly classifying...
The main interest of this study is to find a system that could detect typical signs of drowsiness progression and warn a car driver before driving behavior becomes dangerous. An early detection of impaired conditions due to drowsiness would probably lead to a reduction in traffic accidents. In this matter, a lot of researches have already been done but although many detection devices are available...
Intramuscular Electromyography (EMG) signal provides a significant source of information that plays an inevitable role in the diagnosis of neuromuscular disorders. The ensemble method represents a supervised machine learning algorithm that constructs a combination of classifiers to achieve accurate classification decision. In this respect, the aim of this study is to propose classification method...
Obstacle avoidance and navigation are major problems for blind people. They require help to pass safely. This paper presents an obstacle avoidance system for blind people using Kinect depth camera. This assistive technology recognizes the medium in front of the user using Kinect depth camera. The system receives the depth images from the Kinect camera and processes it using a windowing-based mean...
eHealth is a technology that is growing in importance over time, varying from remote access to Medical Records, such as Electronic Health Records (EHR), or Electronic Medical Records (EMR), to real-time data exchange from different on-body sensors coming from different patients. With this huge amount of critical data being exchanged, problems and challenges arise. Privacy and confidentiality of this...
Fall-related injuries of elderly people have become a major public-health burden resulting in direct physical, physiological and financial costs to the surfer and indirect societal costs. Automated fall detectors play a central role in reducing these damages and in supporting safety and independency of the seniors. Typically, automated fall detection devices can send real time notifications to the...
Cognition involves dynamic reconfiguration of functional brain networks at sub-second time scale. A precise tracking of these reconfigurations to categorize visual objects remains elusive. Here, we use dense electroencephalography (EEG) data recorded during naming meaningful (tools, animals…) and scrambled objects from 20 healthy subjects. We combine technique for identifying functional brain networks...
Patients with neurodegenerative disorder suffers from performing their daily tasks resulting in a reduced community ambulation. Tremor is suggested to be reduced by mechanical means using passive vibration controller. Human hand is modeled in the horizontal plane to describe the flexion-extension motion at the shoulder, elbow and wrist joints. Tremor is modeled as sinusoidal function driven at two...
In this paper, we propose a novel fatigue assessment technique using Vertical Ground Reaction Force (VGRF) signals acquired during ultra-marathon running. To achieve that goal, we performed frequency-domain on singlechannel VGRF signals on different time intervals during ultra-marathon running and tracked the features' variation. Our method was applied on single-channel VGRF signals recorded via instrumented...
Ultrasonic backscatteredsignals contain information regarding the scatterer structures of the imaged biological tissues; a uniform scatterer distribution could be represented by periodicities in the backscattered signals. This work aims to characterize these scatterer periodicities using wavelet improved cepstral analysis. This technique was tested on simulated ultrasound signals, where the periodicity...
In this preliminary study, we explore the brain activity of healthy subjects during visual sustained attention task using a low-cost electroencephalography headset. The main objective is to study the ability of subjects to detect and respond to stimulus changes which occur infrequently during the time using Emotiv EPOC system. 14-Channels EEG data were recorded while subjects participated in 10 minutes...
The main causes of highways mortality are fatigue and sleepiness while driving. In this paper, we propose a method to detect the transition between wakefulness and sleepiness states based on driver's brain activity recorded through Electroencephalography (EEG). Our new method uses the Phase Locking Value (PLV)to extract data that are directly related and correlated to the sleepiness. PLV measures...
The availability of cost effective and fast genome sequencing techniques has paved the way for a personalized medical practice. The new sequencing technology produces huge datasets with different characteristics and the analysis has evolved from a single program to a workflow of tens of analytical steps, starting from the analysis of raw data until generating clinical reports. The mix between big...
Breast cancer, the most commonly diagnosed cancer in women worldwide, is mostly detected through a biopsy where tissue is extracted and chemically examined or pathologist assessed. Medical imaging plays a valuable role in targeting malignant tissue accurately and guiding the radiologist during needle insertion in a biopsy. This paper proposes a computer software that can process and combine 3D reconstructed...
The number of diabetes patients is increasing dramatically. Diabetes has many reasons and can lead to severe complications. It has been proven that early diagnosis and effective monitoring and assistance can decrease the effect of this disease. Thus, this paper presents general diabetes system for patient's pre-diagnosis, monitoring and assistance. Client java graphical interfaces, in addition to...
Amyotrophic lateral sclerosis (ALS) is a paralytic disorder that affects muscles by weakening them, until reaching a certain stage of immobility, where the patient could only move his/her eyes. ALS-inflicted victims have been increasing over the past few years with no cure to be found. This has lead to a proliferation of special-aid gadgets, which are tailored to improve the life conditions of those...
The tonic postural system guarantees the stability of the human body in upright stance and during locomotion. It is considered as a complex organization which involves several internal systems and has multiple sources of information. In this paper, we provide a review of techniques and materials for human stability assessment. The primary tools to record and evaluate human sways in static posture...
Nowadays, the reading and interpretation of antibiogram tests is a frequently performed task by doctors, researchers and technicians at hospitals and laboratories. An antibiogram is a test of the sensitivity of a microorganism to given antibiotics. Reading an interpretation of the antibiogram results is usually performed manually, which leads to human errors and a great waste of time. There are few...
This paper proposes a mathematical maintenance model that analyses the effect of maintenance on the survival probability of medical equipment based on maintenance history and age of the equipment. The proposed model is simulated in Scilab using real data extracted from maintenance history of Anaesthesia Machine from Draeger. The analysis using survival approach reveals that conducting preventive maintenance...
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