Opole graduate develops ‘disease-detecting’ exoskeleton
Credit: Fotolia
An exoskeleton model that can be used in medicine and industry to detect diseases has been developed by an Opole University student.
Paweł Sadkowski, a graduate of the Faculty of Electrical Engineering, Automatic Control and Informatics at the Opole University of Technology, came up with the design as part of his diploma thesis.
Connected with the appropriate software, the device can measure the angles of the upper limb axis, which can be used to detect diseases related to incorrect motor activity of the patient's hand.
Sadkowski said: “Exoskeletons are a large group of devices that work with the human skeleton. They have various applications, shapes and tasks.
“My goal was to build an exoskeleton that would be able to measure the angular positions of the joints of a human hand in real time. The entire measuring system was 3D printed.
“The device allows free movement of the subject. I developed a control unit responsible for communication with the exoskeleton. I also wrote a Python application that displays the current arm angles, creates a graph and saves the data to a file.
“The control unit includes a Raspberry PI microcomputer and an A/D converter. Both devices will be mounted on human body, therefore the mobility of the tester will not be limited in any way.”
Sadkowski’s thesis promoter, Dr. Rafał Gasz said: “This is high-level work, the path of the graduate's activity is impressive. Such a technical solution can be used in many industries.
“An employee equipped with a measuring exoskeleton can easily control a multi-axis robot wherever writing a movement program is too time-consuming.
“The possibility of creating and collection of real-time data may enable more efficient AI learning for autonomous robots.”
(PAP)
author: Marek Szczepanik
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