Paper Presentation Topics

Showing posts with label Medical Electronics. Show all posts
Showing posts with label Medical Electronics. Show all posts

Optical

Friday, February 12, 2010 · 0 comments

Abstract: It is available in the file which you can download from the link below.

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Medical Image Processing - Bone Imaging

Thursday, November 19, 2009 · 0 comments

Abstract: The normal direction of the bone contour in computed tomography (CT) images provides important anatomical information and can guide segmentation algorithms. Since various bones in CT images have different sizes, and the intensity values of bone pixels are generally nonuniform and noisy, estimation of the normal direction using a single scale is not reliable. We propose a multiscale approach to estimate the normal direction of bone edges. The reliability of the estimation is calculated from the estimated results and, after re-scaling, the reliability is used to further correct the normal direction. The proposed algorithm starts with initial seed search in the input image. Initial seeds can be obtained by thresholding or manual selection. Starting from an initial seed, to find an edge point near the seed or to correct the location of the seed we calculate the normal direction at the seed and construct a 1-D signal that consists of the intensity of the pixels along the normal direction centered at the seed. We then use an edge filter to find the edge point in the 1-D signal. The deviation of the edge point in the 1-D signal from the center is used to obtain the location of the edge point in the 2-D image. From the edge point, we predict the next edge point along the edge. The predicted point is taken as a seed and the process is repeated until no new edge point can be predicted. We then go to the next initial seed, and the entire process is repeated until all of the initial seeds are used up. Finally, the edge map is postprocessed to produce a better edge map of the bone. Normal-direction estimation is based on the observation that the intensity of pixels near an edge changes more rapidly along the normal direction than along the tangent direction. 2-D symmetrical Gaussian is widely used to obtain the normal direction. A predictor-corrector scheme is used to improve the normal direction estimation. The optimal scale at each point is obtained while estimating the normal direction; this scale is then used in a simple edge detector. The reliability may become more stable from slice to slice when we use 3-D information to estimate the normal direction of bone edges. Thus, it is expected that the 3-D extension will shorten the segmentation time and improve the performance.

Courtesy: N.Santhanam, Adi Parasakthi Engineering College (APEC), Melmaruvathur, Tamilnadu

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Heart Failure Alert System using RFID And GPS

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Abstract: Now-a-days the deaths caused due to the heart failure have been of major concern .The majority of the deaths caused by heart failures are due to the lack of medical assistance in time. This paper gives an insight of a new technology that relates directly to the exploding wireless marketplace. This technology is a whole new wireless and RFID (Radio Frequency Identification) enabled frontier in which a victim’s actual location is integral for providing valuable medical services.

The paper will be demonstrating for the first time
ever the usage of wireless telecommunications systems and miniature sensor devices like RFID passive Tags , that are smaller than a grain of rice and equipped with a tiny antenna which will capture and wirelessly transmit a person's vital body-function data, such as pulse or body temperature , to an integrated ground station. In addition, the antenna will also receive information regarding the location of the individual from the GPS (Global Positioning Satellite) System. Both sets of data medical information and location will then be wirelessly transmitted to the ground station and made available to save lives by remotely monitoring the medical conditions of at-risk patients and providing emergency rescue units with the person's exact location.

This paper gives a predicted general model for Heart Failure Alert System. It also discusses the Algorithm for converting the Analog pulse to Binary data in the tag and the Algorithm for alerting the Location & Tracking Station. It discusses in detail the various stages involved in tracking the exact location of the Victim using this technology


Courtesy: N.Santhanam, Adi Parasakthi Engineering College (APEC), Melmaruvathur, Tamilnadu

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Electronic Nose

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Abstract: Since the beginning of internet, software developers have chosen to ignore our senses of smell and taste. In the past few years progression in chip technology and pattern recognition has made electronic noses available for use in many different areas, from pollution detection to food processing.

E-Nose is an environmental monitor that minimizes the olfactory defects .Rather than shifting the air the way a human nose does E-Nose contains 32 sensors that expand and contract depending on the elements in the air .The reaction that creates the pattern that scientists evaluate using computer software. The sensors respond to any change in air, and the responses are recorded. Matching the patterns created by a gas with patterns that have been recorded in the lab helps scientists identify the substances in the air.

In the future ,E-Nose may be used for more than monitoring air quality in space ,Researchers believe it can be developed to monitor environmental toxins and pollutants ,trace medicines and bodily functions ,process food and research toxicology ,doctors and dentists may soon be able to test a patients breath for odours that indicate a variety of health conditions.

Human noses are employed all over the world to test different products .The odours of food products such as grains ,wines, cheese are examined by human noses to determine their quality and features.

Courtesy: N.Santhanam, Adi Parasakthi Engineering College (APEC), Melmaruvathur, Tamilnadu

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Medical Electronics

Tuesday, November 10, 2009 · 0 comments

Abstract:Biomedical instrumentation deals with the physiological as well as engineering principles underlying the working of a wide variety of medical instruments. During the last two decades there has been tremendous increase in the use of electronic equipments in the medical field for research and clinical purpose. It is available in the file which you can download from the link below.

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