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Facta universitatis - series: Electronics and Energetics 2015 Volume 28, Issue 1, Pages: 29-50
https://doi.org/10.2298/FUEE1501029N
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Examples of medical software and hardware expert systems for dysfunction analysis and treatment

Napieralski Andrzej (Lodz University of Technology, Department of Microelectronics and Computer Science, Lodz, Poland)
Ciota Zygmunt (Lodz University of Technology, Department of Microelectronics and Computer Science, Lodz, Poland)
Janicki Marcin (Lodz University of Technology, Department of Microelectronics and Computer Science, Lodz, Poland)
Kamiński Marek (Lodz University of Technology, Department of Microelectronics and Computer Science, Lodz, Poland)
Kotas Rafał (Lodz University of Technology, Department of Microelectronics and Computer Science, Lodz, Poland)
Marciniak Paweł (Lodz University of Technology, Department of Microelectronics and Computer Science, Lodz, Poland)
Napieralska Małgorzata (Lodz University of Technology, Department of Microelectronics and Computer Science, Lodz, Poland)
Ritter Robert (Lodz University of Technology, Department of Microelectronics and Computer Science, Lodz, Poland)
Sakowicz Bartosz (Lodz University of Technology, Department of Microelectronics and Computer Science, Lodz, Poland)
Tylman Wojciech (Lodz University of Technology, Department of Microelectronics and Computer Science, Lodz, Poland)
Zubert Mariusz (Lodz University of Technology, Department of Microelectronics and Computer Science, Lodz, Poland)

This paper presents the recent research in DMCS. The medical and biometric research projects are presented. One of the key elements is image acquisition and processing. The paper presents research of diagnostic application of voice analysis for stroke patients with speech dysfunction, as well as the method for diagnosing and monitoring the effectiveness of medical rehabilitation of patients with dysfunction of the cervical spine. Then the method for sudden cardiac death risk stratification is elaborated.

Keywords: medical systems, speech dysfunction, sudden cardiac death risk