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Peptic Ulcer Disease II: Pathophysiology01:28

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Peptic Ulcer Disease (PUD) is characterized by the development of ulcers in the stomach or duodenal mucosa. Its pathophysiology is complex, involving a balance between damaging and protective elements.
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Peptic Ulcer Disease (PUD) is characterized by mucosal excavation in the esophagus, stomach, pylorus, or duodenum. It can manifest as acute or chronic based on the extent and duration of mucosal involvement.
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Mouse Model of Pressure Ulcers After Spinal Cord Injury
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Mobile Application for Ulcer Detection.

Luay Fraiwan1,2, Jolu Ninan1, Mohanad Al-Khodari1

  • 1Electrical and Computer Engineering Department, Abu Dhabi University, Abu Dhabi, 59911, United Arab Emirates.

The Open Biomedical Engineering Journal
|August 3, 2018
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Summary

A new mobile app uses thermal imaging to detect diabetic foot ulcers (DFU). The system analyzes foot temperature differences, successfully identifying potential ulcer regions in simulated tests.

Keywords:
Diabetic Foot Ulcer (DFU)Infrared Thermal (IRT) CameraIschemiaMean Temperature Difference (MTD)Red Green Blue (RGB)Thermal Imaging System

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Mobile Health

Background:

  • Diabetes prevalence is rising globally, affecting up to 20% of populations in some regions.
  • Diabetic Foot Ulcers (DFU) are a common and serious complication of diabetes.
  • Early detection of DFU is crucial for patient management and preventing severe outcomes.

Purpose of the Study:

  • To develop a mobile application for early detection of Diabetic Foot Ulcers (DFU).
  • To utilize smartphone-based thermal imaging for non-invasive ulcer identification.
  • To assess the feasibility of using thermal imaging for DFU screening.

Main Methods:

  • A mobile application was developed using Android Studio for ulcer detection.
  • Thermal images of the feet were captured using a smartphone and a FLIR ONE mobile thermal camera.
  • Image processing techniques (OpenCV) analyzed thermal distribution, identifying potential ulcers based on a Mean Temperature Difference (MTD) threshold of 2.2°C between feet.

Main Results:

  • The system successfully identified potential ulcer regions in simulated tests.
  • The application provided images highlighting the locations of possible ulcers.
  • The system demonstrated the ability to distinguish between normal and potentially ulcerated areas based on thermal patterns.

Conclusions:

  • This study presents a foundational mobile thermal imaging system for DFU detection.
  • The developed system shows promise as a tool for early DFU screening.
  • Further clinical validation is planned for this novel mobile health approach.