Textile electrodes are a new and potential choice for long term and continuous monitoring of electrocardiogram measurements. In this research, textile electrodes have been designed and developed by embroidering conductive yarn on the polyester fabric to measure electrocardiogram biosignals of patients. Silver-coated nylon thread is embroidered on 100% polyester fabric in square form 11 mm  11 mm with satin stitches in order to form three heart vectors (V3, V4, and V5). These electrodes are characterized based on electrode impedance and electrocardiogram measurement and the results are compared with the commercially available disposable Ag/AgCl electrodes. Further, additional tests have been performed using an electrode designed with 50% of the conductive thread used in the original sample. Real-time electrocardiogram signals, QRS-complex, P-wave, and T-wave were obtained for 10 subjects using existing hospital electrocardiogram equipment. The performance and repeatability of the electrode designed with 50% less conductive thread and effect of laundering were also studied. The results showed that the impedance of electrode has an acceptable value of 1.45 MV/cm 2 . Ageing tests showed that there is only a negligible deviation in the performance of the electrode. The results after laundering showed that the performance of the electrode is not affected by the laundering process.

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A bundle of image registration procedures have been built up with enormous implication for data analysis in medicine, astrophotography, satellite imaging and little other areas. This problem proposes a solution using a technique for medical image registration using Fast Walsh Hadamard transform. This algorithm registers the images of the mono or multi modalities. Each image bit is expanded in terms of Fast Walsh Hadamard basis functions. Each basis function is an idea of resolving a choice of features of local structure, e.g., horizontal edge, corner, etc. These coefficients are normalized and used as digits in a preferred number system which lets one to outline a unique number for all type of local structure. The research outcomes confirm that Fast Walsh Hadamard transform realized better results than the traditional Walsh transform in the time domain. Also Fast Walsh Hadamard transform is further reliable in medical image registration devastating less time.

A bundle of image registration procedures have been built up with enormous implication for data analysis in medicine, astrophotography, satellite imaging and little other areas. An approach to the problem of mono and multimodality medical image registration is proposed, with a fundamental concept Correlation Coefficient, as a matching measure. It measures the statistical dependence or information redundancy between the image intensities of corresponding voxels in both images. Maximization of CC is a very broad and dominant norm. As no assumptions are made regarding the nature of this dependence and no limiting constraints are imposed on the image content of the modalities involved. The accuracy of the CC criterion is validated for rigid body registration of computed tomography (CT), and magnetic resonance (MR T1 and T2) images by comparison with the registration solution. Experimental results prove that subvoxel accuracy with the reference solution can be achieved completely automatically without any preprocessing steps that make this process ensemble for medical applications.

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