Browsing by Author "Hamza Khalid"
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Item Heart rate measuring device using index finger(UMT.Lahore, 2017) Sheraz Ali; Hamza Khalid; Hashaam Rafiq; Arsalan MukhtarThis report describes the innovation of heart rate measuring device based on Arduino. This report refer to the design of heart rate measuring device or in medical terms electrocardiogram (EKG or ECG), which is very economical, portable and simple to design. This device is based on Arduino-Mega and its output should be shown on TFT LCD. Heart rate measured from through IR (Infrared) sensors with index finger. The IR sensor is use to sense the movement of blood through the index finger. The performance of our HRM device will be compared with similar types of heart beat detector. This device is working in three phases which are pulse detection and its amplification and signal extraction. As heart related diseases are increasing daily, most devices or gadgets of heart beat measurement are expensive and not friendly user. This device is economical and friendlier user. Keywords: Heart Rate Measuring; Arduino-Mega; TFT LCD; ECG; pulse amplification ; pulse detection; Signal extraction; gadgets.Item Heart rate measuring device using index finger(University of Management and Technology Lahore, 2017) Hamza Khalid; Hashaam Rafiq; Sheraz Ali; Arsalan MukhtarThis report describes the innovation of heart rate measuring device based on Arduino. This report refer to the design of heart rate measuring device or in medical terms electrocardiogram (EKG or ECG), which is very economical, portable and simple to design. This device is based on Arduino-Mega and its output should be shown on TFT LCD. Heart rate measured from through IR (Infrared) sensors with index finger. The IR sensor is use to sense the movement of blood through the index finger. The performance of our HRM device will be compared with similar types of heart beat detector. This device is working in three phases which are pulse detection and its amplification and signal extraction. As heart related diseases are increasing daily, most devices or gadgets of heart beat measurement are expensive and not friendly user. This device is economical and friendlier user.Item Intelligent remote medical imaging(UMT.Lahore, 2020) Abdullah Suleman; Ali Hamza Awan; Hamza KhalidMany patients die every year due to lack of treatment or error in diagnosis of a certain disease. Developing an artificial intelligence based detection system can help in early diagnosis and treatment of many diseases. In this paper, we present a potential approach to having a collection of disease detection mechanisms using deep learning which utilize medical imaging for classification. To demonstrate this experiment we use two of the most major diseases detectable using medical imaging: Tuberculosis (TB) and Breast Cancer. We have used CNN architecture and compared the erformance of the network using three different activation functions. In the case of Breast Cancer, we used the INbreast dataset which has a total of 115 cases (410 images) of which 90 cases are from women with both breasts (4 images per case) and 25 cases are from mastectomy patients (2 images per case). Our network achieves an accuracy of 94.51% in predicting the cancer in breast. In the case of TB, we used the Shenzhen dataset which has 326 normal x- rays and 336 abnormal x-rays showing various manifestations of tuberculosis. Our network achieves an accuracy of 96% in predicting TB in chest X-rays. To further demonstrate our experiment we have created an API (Application Programming Interface) for both of our detection programs which uses the Flask framework on Python. Using an API we can utilize these detection programs in any OS (operating system), program or device which can be connected to the internet. For public consumption we’ve created a simple front-end web and mobile application based n PHP and Swift languages, respectively.Item Libass(UMT, Lahore, 2025) Hamza Khalid