Islamic Azad University Researchers Use AI to Make Device for Analyzing Electrical Signals in Skin Layers
“We succeeded in building an efficient device for analyzing electrical signals in skin, muscle and nerve layers to detect the healing process of a wound based on machine learning algorithms,” Amirhossein Nazari, a medical engineering expert, researcher and supervisor of the student team, told ANA.
He explained that the device starts sampling of the wound without the slightest side effects and completely non-invasively by putting its electrodes around the wound and pressing the start button.
“Then the received data is analyzed and finally the healing process of the patient's wound is displayed with three LEDs on the device with green (excellent healing process), yellow (borderline healing process) and red (regressive healing process) colors. Next, the received wound data is sent to the PC through the USB protocol,” Nazari said.
“The frequency and resistance of biological tissues are measured by surface or needle electrode connection, and by using algorithms like FFT, DFS, and KNN, and implementation on signals and data, the rate of healing or regression of the wound in a certain period of time is displayed as a percentage,” he added.
In a relevant development in February, Iranian IT specialists at a startup team had also succeeded in designing a smart diabetic wound treatment system based on artificial intelligence.
“Since the wounds caused by diabetes cannot be examined and identified with the human eye, we decided to design a system by using machine vision,” Tohid Amadeh, the caretaker of the start-up team, told ANA.
He reminded that treatment methods for wounds caused by diabetes often have long processes, saying, “This system speeds up the treatment and diagnosis process of these wounds through artificial intelligence processors.”
“After scanning the image of the wound, artificial intelligence determines its type, intensity and depth by using the spectrum of colors defined for the physician,” Amadeh said.
“The remarkable thing about this system, which is considered as its advantage, is the provision of long-term treatment solutions after asking specific questions from the physician,” Abbasi noted.
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