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Edward Rajan, S.
- Wireless BAN for Intra-Body Communications Human Body as Transmission Medium
Authors
1 Department of Electronics and Communication Engineering, CSI Institute of Technology, Thovalai, Tamil Nadu, IN
2 Department of Electrical and Electronics Engineering, Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, IN
3 Department of Electronics and Communication Engineering, VINS Christian College of Engineering, Nagercoil, Tamil Nadu, IN
Source
Wireless Communication, Vol 2, No 7 (2010), Pagination: 164-168Abstract
Intra-Body Communication in which the human body is used as a signal transmission medium is a new approach which enables wireless communication without transmitting radio waves through the air. This approach is driven by the vision of a cable-free biomedical monitoring system. With this new idea of transmitting data through the human body, various attempts have been made to model the human body as transmission medium through which wireless transmission is achieved. Such a new wireless data communication technology will offer substantially increased freedom for long-term risk patients. On body sensors in the form of intelligent band-aids monitor the human vital functions and transfer data through the human body to a central monitoring unit. This recorded data will be transferred wireless through the body within the Body Area Network (BAN) sensor nodes, which is enabled by the Intra-Body Communication capability of every sensor. The single node which acts as the central monitoring node is connected by a traditional wireless link to the remote hospital monitoring infrastructure, where the data will be displayed or stored in the patient’s record. This electronic data transfer through the human body has been proposed by research and industry as a promising technology for ultra low power Wireless Body Area Networks.Keywords
Wireless BAN, Intra-Body Communication, Galvanic Coupling, Bio-Medical Monitoring Systems.
- An Efficient Soft-Computing Technique for Extracting Fetal ECG from Maternal ECG Signal
Authors
1 Department of Electronics and Communication Engineering, Anna University of Technology, Tirunelveli, Tamil Nadu, IN
2 Department of Electrical and Electronics Engineering, Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, IN
3 Department of Electronics and Communication Engineering, Anna University Tirunelveli, Tirunelveli, Tamil Nadu, IN
Source
Programmable Device Circuits and Systems, Vol 3, No 1 (2011), Pagination: 1-7Abstract
The Fetal Electrocardiogram (FECG) signal reflects the electrical activity of the fetal heart. It contains information about the health status of the fetus and as a result, an early diagnosis of any cardiac defects before delivery increases the effectiveness of the appropriate treatment. The proposed approach extracts the FECG from two ECG signals recorded at the thoracic and abdominal areas of the mother, with the help of a hybrid soft computing technique. The thoracic ECG is assumed to be almost completely maternal (MECG) while the abdominal ECG is considered to be composite because it contains both the maternal and the fetal ECG signals. The principle used for the elimination of artifacts is ANC. An Adaptive Neuro-Fuzzy Inference System (ANFIS) is used to remove the artifacts and to extract the FECG component from abdominal signals of very low maternal to fetal signal-to-noise ratio. After removing the artifacts using ANFIS, better results are obtained by optimizing the ANFIS parameters using Swarm Intelligent Technique, namely Particle Swarm Optimization (PSO). The experimental results show that the proposed approach can effectively remove artifacts and extract the desired FECG signals from the abdominal signals.
Keywords
Electrocardiogram (ECG), Adaptive Neuro-Fuzzy Inference System (ANFIS), Fetal ECG (FECG), Maternal ECG (MECG), Particle Swarm Optimization (PSO).- Analysis of Elt Image of the Lungs by Fuzzy Black Box Back Propagation Intelligent Technique
Authors
1 Department of Electrical and Electronics Engineering, Mepco Schlenk Engineering College, Sivakasi – 626 005, Tamil Nadu, IN
2 Department of Electrical and Electronics Engineering, Mepco Schlenk Engineering College, Sivakasi–626 005, IN
Source
Digital Image Processing, Vol 1, No 2 (2009), Pagination: 68-72Abstract
Electrical Impedance Tomography (EIT) is a functional maging method that is being developed for bedside use in critical care medicine. Aiming at improving the chest anatomical resolution of EIT images, we have developed a fuzzy Black Box back propagation Technique (BBT) based on EIT’s high temporal resolution and the functional information contained in the pulmonary perfusion and ventilation signals. EIT data from an experimental model were collected during normal ventilation and apnea while an injection of hypertonic saline was used as a reference. The fuzzy model was elaborated in three parts: a modeling of the heart, a pulmonary map from ventilation images and a pulmonary map from perfusion images. Image segmentation was performed using a threshold method and a ventilation/perfusion map was generated using Intelligent Black box Back Propagation Technique. EIT images treated by the fuzzy model were compared with the hypertonic saline injection method and CT-scan images, presenting good results in both qualitative (the image obtained by the model was very similar to that of the CT-scan)and quantitative (the ROC curve provided an area equal to 0.97) point of view. Undoubtedly, these results represent an important step in the EIT images area, since they open the possibility of developing EIT-based bedside clinical methods, which are not available nowadays. These achievements could serve as the base to develop EIT diagnosis system for some life-threatening diseases commonly found in critical care medicine.
Keywords
Electrical Impedance Tomography, Pulmonary Perfusion, Black Box Back Propagation Technique and Fuzzy Modeling.- A Novel Computational Approach for Embedding Patient Information Retrieved From Biomedical Images
Authors
1 Department of Electronics and Communication Engineering, VINS Christian College of Engineering, Nagercoil, Tamil Nadu, IN
2 Department of Electrical and Electronics Engineering, Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, IN
3 Department of Electronics and Communication Engineering, CSI Institute of Technology, Thovalai, Tamil Nadu, IN
Source
Biometrics and Bioinformatics, Vol 2, No 7 (2010), Pagination: 113-118Abstract
In order to protect intellectual property rights we can apply information hiding techniques in various applications such as broadcast monitoring, tracking, content authentication etc. In recent years various lossless data hiding techniques have been proposed for images. In this research paper, we focus on the water marking technology with respect to medical information, security for the role of Health Care Systems. The objective of this proposed approach is to give high Peak Signal-to-Noise Ratio (PSNR) value for the image and to reduce the noise. This method also highlighting in the telemedicine principle and there will be no segmentation. Only retrieval of information’s without decomposing the image and the PSNR.We involve ourselves in simulating lossless data hiding algorithm for medical images which can embed more data other than the other data hiding schemes. In this research work, we embed the patient data’s especially the Region of Interest (ROI) part and recover the original image. Hence The distant based diagnosis can be done and not going to embed the affected part of the image.In this method the wavelet transform (Integer Wavelet) helps in the embedding and thereby we keep the PSNR value high for the image and resolution can be improved.