Alireza Akhbardeh

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Electro-encephalogram Spikes Classification and latency computing is one of the important tools in epilepsy diagnosing. However, overlapped spikes cause complexity in problem solving. We use neuro-fuzzy systems and shift-invariant wavelet transforms to solve this problem. It has been shown that our suggested procedures have high-resolution and are able to(More)
This paper presents a new kind of mapping so-called AliMap for signal processing. This map tries to eliminate redundant information without losing relevant information incorporated in spatial, time, and frequency domains. i.e., this map is able to extract most important information and quantify thorn using scalar values, mapping from a high dimensional(More)
This paper introduces a novel two-stage artificial neural network so-called supervised fuzzy adaptive resonance theory (SF-ART) which is utilized for training as well as for recall. First stage, pre-classification level, includes an unsupervised neural network called fuzzy adaptive resonance theory (K-ART) to roughly classify input data to M classes. M is(More)
This paper presents a method to extract cardiac cycles and H-I-J components of Ballistocardiogram (BCG). The new improved algorithm BSeg++ permits on the segmentation of BCG signal and extraction of its basic complexes H-I-J without Electrocardiogram (ECG) synchronization. The BSeg++ is based on two previously developed methods described in [1, 2, 3] for(More)
Researches during several years showed us that artificial neural networks (ANNs) have strong ability in biomedical field as well as diagnostic applications. They are capable to learn the features of exemplar sets, which is very important whilst under-test process is unknown naturally or there are some difficulties across characterization. For fast or(More)
Collagen 1 (Col1) fibers play an important role in tumor interstitial macromolecular transport and cancer cell dissemination. Our goal was to understand the influence of Col1 fibers on water diffusion, and to examine the potential of using noninvasive diffusion tensor imaging (DTI) to indirectly detect Col1 fibers in breast lesions. We previously observed,(More)
New sensor technologies open possibilities for measuring traditional biosignals in new innovative ways. This, together with the development of signal processing systems and their computing power, can sometimes give new life to old measurement techniques. Ballistocardiogram is one such technique, originally promising but quickly replaced by the now very(More)
This paper presents a wireless ballistocardiographic chair developed for the Proactive Health Monitoring project in the Institute of Signal Processing. EMFi sensors are used for BCG measurement and IEEE 802.15.4 RF link for radio communication between the chair and a PC. The chair measures two BCG signals from the seat and the backrest and a rough ECG(More)
The heart disease diagnosing (HDD) system consists of a sensitive movement EMFI-film sensor installed under the upholstery of a chair. Whilst a man rests on the chair, this force sensitive sensor produces a single electrical signal containing components reflective of cardiac-ballistocardiogram (BCG), respiratory, and body movement related motion. Among(More)