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Automated mental workload measurement is particularly important in safety-critical settings, such as in nuclear plants, aviation, air traffic control, shipping, and transportation, to name a few. As an example, recent statistics have suggested that 90% of the accidents in the transport industry are due to human factors. In this paper, we explore the potential of off-the-shelf wearable technologies...
The obstructive sleep apnea/hypopnea syndrome (OSAHS) is one of the most prevalent sleep pathologies. The OSAHS is characterized by repetitive interruptions of respiratory flow caused by upper airway obstructions. The apnea/hypopnea index (AHI) allows to quantify OSAHS severity. It is important to develop methods that allow automatic screening of OSAHS, improving accessibility and costs associated...
There have been lots of trials to classify a depth of anesthesia using diverse physiological indices. In this study, we classified wakefulness and propofol-induced sedation using combined electroencephalography (EEG) and electrocardiography (ECG) features for better classification performance. We extract each spectral band of EEG and very low frequency (VLF) of heart rate variability using spectrogram...
Driver drowsiness monitoring is one of the most demanded technologies for active prevention of severe road accidents. Electroencephalogram (EEG) and several peripheral signals have been suggested for the drowsiness monitoring. However, each type of signal has partial limitations in terms of either convenience or accuracy. Recent emerged concept of in-ear EEG raises expectations due to reduced obtrusiveness...
Evaluating mobile and desktop applications from usability aspects is becoming trending as the usage of electronic devices increases every day. Both user loyalty and usage efficiency are key factors in developing successful applications, given the wide variety of the market. An affordable and portable monitoring environment for desktop and mobile platforms could fulfill the specific needs of user experience...
Lately, many clinical and academic researches have shown that it is feasible to determine different sleep phases and obstructive sleep apnea (OSA) occurrence without EEG signals, which is always the essential foundation of polysomnography (PSG). In order to conduct further research of OSA screening, we have developed a novel device acquiring some other physiological signals with different sensors...
The purpose for researchers in medical electronics field, in signal processing and information field is to provide powerful and low-cost systems to help doctors to make his specific spots. In this paper, a biomedical monitoring system is proposed based on LabVIEW FPGA. This monitoring system has the advantage to acquire and analyze several physiological signals. The Electrocardiogram (ECG), Electroencephalogram...
The advances in the wearable devices and Artificial Intelligence domains highlight the need for ICT systems that aim in the improvement of human's quality of life. In this paper we present the sleeping tracking component of an activity and sleeping tracking system. We present the sleep quality assessment based on EEG processing and support vector machines with sequential minimal optimization classifiers...
Cardiovascular physiological signals such as electrocardiogram (ECG) and arterial blood pressure (ABP) provide direct measure of heart rate. But ECG & ABP recorded in the intensive care unit (ICU) are often seriously corrupted by noise and missing data, which lead to errors in Heart Rate (HR) estimation and incidences of false alarm from ICU monitors. Cardiac activity, because of its relatively...
Epilepsy is one of the commonest, serious and divesting brain disorders. Although it is still an incurable disorder in most cases its symptoms can be ameliorated by lifelong pharmaceutical treatment. Depending on the type of epilepsy and due to its multifactorial causes, different brain and body parameters need to be assessed continuously over a long period. This allows clinicians to have a better...
Recently, mobile applications which provide health services at anytime and anywhere are on demand due to the growth of mobile wireless technologies. For the health service, an inspection service middleware is needed for monitoring health condition such as observing and analyzing EEG (electroencephalography), ECG (electrocardiography) and EMG (Electrocardiogram) waveforms from wearable ECG devices...
Biosignals acquisition is a fundamental task in biomedical engineering applications. A correct acquisition and a proper method for interpreting the data acquired are required in order to design control devices or monitoring systems. This paper presents the design of a manual for biosignals acquisition (EMG, EEG, EOG and ECG) using the Biopac MP 45 for theoretical and experimental lessons as a part...
This paper presents the design of system in package for a low-power active electrode module. The main aim of this research is to provide a low-cost, high-density, and high-quality module, exploiting the features of a System-in-Package (SiP) solution. To the best knowledge of the authors, this is the first time that SiP technology has been used in the development of a modular active electrode. Two...
This work introduces a novel physiological sensor, which combines electrical and mechanical modalities in a co-located arrangement, to reject motion-induced artefacts. The mechanically sensitive element consists of an electret condenser microphone containing a light diaphragm, allowing it to detect local mechanical displacements and disregard large-scale whole body movements. The electrically sensitive...
Wrist worn activity monitors are becoming increasingly popular and could be greatly enhanced by the inclusion of additional physiological monitors. This paper investigates integrating wrist based electrocardiography into such devices. Results show that when no motion is present techniques and algorithms developed for traditional chest ECG can be directly re-applied to the wrist with a valid analysis...
This paper describes an in-vehicle nonintrusive biopotential measurement system for driver health monitoring and fatigue detection. Previous research has found that the physiological signals including eye features, electrocardiography (ECG), electroencephalography (EEG) and their secondary parameters such as heart rate and HR variability are good indicators of health state as well as driver fatigue...
Utilizing R-2R ladders in design of active-RC approach promotes IC implementation of low frequency filters and leads to high linear and low power design solution for biomedical applications. However, area of R-2R ladders limits low frequency operation of this approach to few tens of Hz. This range is sufficient for designing 60Hz powerline notch filter, but biomedical lowpass filers requires much...
Wearable sensors in Wireless Body Area Networks (WBANs) provide health and physical activity monitoring. Modern communication systems have extended this monitoring remotely. In this survey, various types of wearable sensors discussed, their medical applications like ECG, EEG, blood pressure, detection of blood glucose level, pulse rate, respiration rate and non medical applications like daily exercise...
In this paper, the research on monitoring and early warning for the loss of consciousness under +Gz accelerations is first introduced. The necessity of research on electroencephalogram (EEG) signal under the condition of +Gz accelerations is then presented. In order to investigate the features of EEG variation in +Gz acceleration environment, experiments are carried out by using high performance human...
Patient waiting times are continuously increasing due to a shortage of trained physicians in most hospitals and clinics. Wireless Doc is a device that integrates an Electrocardiogram (ECG), Electroencephalography (EEG) and Blood Pressure (BP) together for further medical examination. Wireless Doc aims at a faster and an efficient way for providing this information to assist a physician in acquiring...
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