Development of a Reflectance Photoplethysmogram Based Heart Rate Monitoring Device
Kingsley Okeoghene Enalume,
Ayebatonye Marttyns Epemu
Issue:
Volume 5, Issue 5, September 2017
Pages:
53-57
Received:
18 April 2017
Accepted:
12 May 2017
Published:
28 November 2017
Abstract: This paper presents a method for users to monitor their heart rate conveniently. It becomes necessary for individuals to know their heart rate because of the fact that cardiovascular disease is the leading cause of death in the world, especially in developing countries. Heart rate measurement is an indication of how healthy the heart is. This heart rate monitor (HRM) uses the technique of reflectance photoplethysmography (PPG) to detect the pulse from the fingertip, filter and amplify the pulse using two-stage OP-Amp, count and decodes the pulse with the aid of a microcontroller and display the output in beats per minutes (BPM) on an LCD. The device is easy to use, cheap and portable compared to the expensive ones available that also requires medical expertise. It can be used by athletes and anybody to monitor the state of their heart rate with negligible error.
Abstract: This paper presents a method for users to monitor their heart rate conveniently. It becomes necessary for individuals to know their heart rate because of the fact that cardiovascular disease is the leading cause of death in the world, especially in developing countries. Heart rate measurement is an indication of how healthy the heart is. This heart...
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Detection of Lung Cancer Using Digital Image Processing Techniques: A Comparative Study
Munimanda Prem Chander,
M. Venkateshwara Rao,
T. V. Rajinikanth
Issue:
Volume 5, Issue 5, September 2017
Pages:
58-62
Received:
16 April 2017
Accepted:
8 May 2017
Published:
9 December 2017
Abstract: This paper focuses on early stage lung cancer detection. Lung cancer is prominent cancer as it states large number of deaths of more than a million every year. It creates need of detecting the lung nodule at early stage in Computer Tomography medical images. So to detect the occurrence of cancer nodule at early stage, the requirement of methods and techniques is increasing. There are different methods and techniques existing but none of them provide a better accuracy of detection. One of the techniques is content based image retrieval Computer Aided Diagnosis System (CAD) for early detection of lung nodules from the Chest Computer Tomography (CT) images. This optimization algorithm allows physicians to identify the nodules present in the CT lung images in the early stage hence the lung cancer. The MATLAB image processing toolbox based implementation is done on the CT lung images and the classifications of these images are carried out. The performance measures like the classification rate and the false positive rates are analyzed.
Abstract: This paper focuses on early stage lung cancer detection. Lung cancer is prominent cancer as it states large number of deaths of more than a million every year. It creates need of detecting the lung nodule at early stage in Computer Tomography medical images. So to detect the occurrence of cancer nodule at early stage, the requirement of methods and...
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