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Featured researches published by Ivo Iliev.


Physiological Measurement | 2007

Real-time detection of pathological cardiac events in the electrocardiogram.

Ivo Iliev; Vessela Krasteva; Serafim Dimitrov Tabakov

The development of accurate and fast methods for real-time electrocardiogram (ECG) analysis is mandatory in handheld fully automated monitoring devices for high-risk cardiac patients. The present work describes a simple software method for fast detection of pathological cardiac events. It implements real-time procedures for QRS detection, interbeat RR-intervals analysis, QRS waveform evaluation and a decision-tree beat classifier. Two QRS descriptors are defined to assess (i) the RR interval deviation from the mean RR interval and (ii) the QRS waveform deviation from the QRS pattern of the sustained rhythm. The calculation of the second parameter requires a specific technique, in order to satisfy the demand for straight signal processing with minimum iterations and small memory size. This technique includes fast and resource efficient estimation of a histogram matrix, which accumulates dynamically the amplitude-temporal distribution of the successive QRS pattern waveforms. The pilot version of the method is developed in Matlab and it is tested with internationally recognized ECG databases. The assessment of the online single lead QRS detector showed sensitivity and positive predictivity of above 99%. The classification rules for detection of pathological ventricular beats were defined empirically by statistical analysis. The attained specificity and sensitivity are about 99.5% and 95.7% for all databases and about 99.81% and 98.87% for the noise free dataset. The method is applicable in low computational cost systems for long-term ECG monitoring, such as intelligent holters, automatic event/alarm recorders or personal devices with intermittent wireless data transfer to a central terminal.


Journal of Medical Engineering & Technology | 2000

Automatic adjustment of biphasic pulse duration in transthoracic defibrillation.

Vessela Krasteva; Ivo Iliev; A. Cansell; I. Daskalov

Many studies have proven that biphasic defibrillation pulses are more efficient than the damped sinusoid monopolar waveform. Transthoracic resistance was shown to change during the two phases. On the other hand, it was proven that transthoracic resistance plays an important role in the defibrillation process, yielding the current for selected energy or voltage. Pre-shock measurement of the resistance may lead to improved selection. Stabilized current defibrillators are of low stored-to-delivered energy ratio. Therefore, automatic dynamic adjustment of some defibrillator parameters with respect to transthoracic resistance changes seems rational. An approach is known for modifying the pulse duration, in order to deliver a selected energy. A method is proposed here and an experimental defibrillator is developed for dynamic pulse duration adjustment with the purpose of obtaining a desired optimal time-course of the cardiac cell transmembrane potential.Many studies have proven that biphasic defibrillation pulses are more efficient than the damped sinusoid monopolar waveform. Transthoracic resistance was shown to change during the two phases. On the other hand, it was proven that transthoracic resistance plays an important role in the defibrillation process, yielding the current for selected energy or voltage. Pre-shock measurement of the resistance may lead to improved selection. Stabilized current defibrillators are of low stored-to-delivered energy ratio. Therefore, automatic dynamic adjustment of some defibrillator parameters with respect to transthoracic resistance changes seems rational. An approach is known for modifying the pulse duration, in order to deliver a selected energy. A method is proposed here and an experimental defibrillator is developed for dynamic pulse duration adjustment with the purpose of obtaining a desired optimal timecourse of the cardiac cell transmembrane potential.


International Journal of Reasoning-based Intelligent Systems | 2014

Multipoint video control and fall detection system applicable in assistance of the elderly and people with disabilities

Ivo Iliev; Serafim Dimitrov Tabakov; Velislava Spasova

The population of elderly people keeps increasing rapidly, which becomes a predominant aspect of our societies. Ambient assisted living (AAL) is new research area which promises to address the needs of the elderly and people with disabilities. AAL has a lot of barriers and challenges that impede its development and more universal deployment. These could be summarised as: technological, ethical, legal and psychological challenges. An approach allowing overcoming part of these barriers, mostly related to the integration of a video control system in the assistive process, is presented by the authors in this paper.


Annals of Biomedical Engineering | 2008

Online Digital Filter and QRS Detector Applicable in Low Resource ECG Monitoring Systems

Serafim Dimitrov Tabakov; Ivo Iliev; Vessela Krasteva


Archive | 2010

An Automated Algorithm for Fast Pulse Wave Detection

Bistra Nenova; Ivo Iliev


International journal of advanced computer research | 2014

A survey on automatic fall detection in the context of ambient assisted living systems

Velislava Spasova; Ivo Iliev


Archive | 2012

Computer Vision and Wireless Sensor Networks in Ambient Assisted Living: State of the Art and Challenges

Velislava Spasova; Ivo Iliev


Computing in Cardiology | 2012

Algorithm for real-time pulse wave detection dedicated to non-invasive pulse sensing

Ivo Iliev; Bistra Nenova; Irena Jekova; Vessela Krasteva


Archive | 2011

Assisted Living Systems for Elderly and Disabled People: A Short Review

Ivo Iliev; Ivan Dotsinsky


Archive | 2008

COMBINED HIGH-PASS AND POWER-LINE INTERFERENCE REJECTER FILTER FOR ECG SIGNAL PROCESSING

Ivo Iliev; Serafim Dimitrov Tabakov; Vessela Tzvetanova Krasteva

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Irena Jekova

Bulgarian Academy of Sciences

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Vessela Krasteva

Bulgarian Academy of Sciences

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Bistra Nenova

Technical University of Sofia

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I. Daskalov

Bulgarian Academy of Sciences

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Ivan Dotsinsky

Bulgarian Academy of Sciences

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Ivan Kanev

Technical University of Sofia

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V Tsibulko

Technical University of Sofia

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