AI based Acoustic System For Non-Invasive Bone Fracture Diagnosis

تاریخ : جنوری ۲۰۲۲ - موجودہ

<div><p>Bone fracture is a discontinuity in the bone caused by applying force on it above its threshold level. The conventional methods used for diagnosing fractures are costly and difficult to access. Furthermore, methods like X-ray and Tuning Fork require a qualified medical professional to understand and interpret the results. All these factors work as a barrier in the diagnostic process.</p> <p>Identification of faults through AI techniques is a growing trend these days in all fields. In this project, we will develop an Acoustic system for fracture detection in a bone by using AI. To begin, we'll use a transmitter that will send an acoustic signal inside the body. The signal will pass through the bone before being picked up by a receiver. The captured signal will be analyzed for features. We will use Machine Learning Techniques on the extracted features, to determine whether the bone is broken or intact.</p> <p>The old methods of X-rays, Ultrasound diagnosis &amp; the use of acoustic signals through Tuning forks are practical tools for fracture detection in bone. The methodology that we will use here will propose an automated and improved solution.</p></div>