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In this study we have investigated the classification of old myocardial infarction through the analysis of 192 lead body surface potential maps (BSPM). Following an analysis of the most prominent features based on a signal to noise ratio ranking criterion the top 6 features were selected. These features were subsequently used as inputs to a series of supervised classification models in the form of...
Omnidirectional M-mode echocardiography(OME) can detect dynamic information from sequential echocardiography images. Temporal motion velocity and acceleration of a part of the cardiac structure contains the information about the composition offerees related to a heart. In this paper we present methods for detection of temporal motion velocity and acceleration of OME. Gray-time waveforms are rebuilt...
Human heart failure is a complex syndrome that can be initiated by a variety of clinical conditions and genetic factors. Gene expression profiling offers opportunities to study changes in transcriptional activity in heart failure samples of different etiologies. This paper evaluates machine and statistical learning models for supporting the identification of heart failure etiology based on gene expression...
Efficient spectrum allocation in open spectrum systems is a challenging problem, particularly for devices with constrained communication resources such as sensor and mobile ad hoc networks. We propose a device-centric spectrum management scheme with low communication costs, where users observe local interference patterns and act independently according to preset spectrum rules. We propose five rules...
An auditory vigilance task (AVT) as a validation criterion for monitoring mental fatigue was proposed in this study. The biological basis of this task design is on the understanding that mental fatigue is a cortical deactivation. This AVT is simple to perform, free of learning curve and independent on acquired skills (aptitude, knowledge). The validity and sensitivity of this task was verified by...
Functional electrical stimulation (FES) has grown to be an effective and important element in the biomedical industry over the years. Due to this fact, it has become the basis of many researches. However, much work is focused on the theory and control technique with very few relating experiments. In this work, some key experiments were performed on the leg muscles during the leg movement. Some useful...
Electroencephalogram (EEG) might be the most predictive and reliable physiological indicator of mental fatigue. However, the extraction of key features from massive EEG data for mental fatigue identification remains a challenge. The objective of this study is to identify the key EEG features in relationship to mental fatigue, from a broad pool of EEG features generated by quantitative EEG (qEEG) techniques,...
This paper presents an adaptive PI control of mean blood pressure using vasoactive drugs like SNP. A new algorithm updating variations in time delay and sensitivity of the system is proposed and its effectiveness is discussed. For demonstration, simulations under clinical conditions are carried out and the results show that the adaptive control system can effectively handle the changes in patient's...
Ad hoc network nodes work cooperatively to route data packets and maintain network functions. However, this cooperative behavior can be a potential vulnerability for security breaches. Moreover, network node capacity differences may result in an asymmetrical defense capability. Even network nodes that are capable of running a strong security mechanism may choose not to use it because of impacts on...
Measurement of wound healing status is very important for monitoring progress in individual patients. Tissue classification is a vital step in the development of an automatic measurement system for wound healing assessment. We present a new tissue classification protocol using the RGB (Red, Green and Blue) histogram distributions of pixel values from wound color images. These three histogram distributions...
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