3d International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

PERFORM: A system for the monitoring and management of persons with chronic motor neurodegenerative disorders: A study on Parkinson's Disease and Amyotrophic Lateral Sclerosis

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  • @INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2009.5936,
        author={Dina Baga and Dimitrios I. Fotiadis and Spiros Konitsiotis and Metin Akay},
        title={PERFORM: A system for the monitoring and management of persons with chronic motor neurodegenerative disorders: A study on Parkinson's Disease and Amyotrophic Lateral Sclerosis},
        proceedings={3d International ICST Conference on Pervasive Computing Technologies for Healthcare},
        proceedings_a={PERVASIVEHEALTH},
        year={2009},
        month={8},
        keywords={Continuous wearable patient monitoring system; treatmentadjustment; Parkinsons' Disease;ALS;},
        doi={10.4108/ICST.PERVASIVEHEALTH2009.5936}
    }
    
  • Dina Baga
    Dimitrios I. Fotiadis
    Spiros Konitsiotis
    Metin Akay
    Year: 2009
    PERFORM: A system for the monitoring and management of persons with chronic motor neurodegenerative disorders: A study on Parkinson's Disease and Amyotrophic Lateral Sclerosis
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/ICST.PERVASIVEHEALTH2009.5936
Dina Baga1,*, Dimitrios I. Fotiadis1,*, Spiros Konitsiotis2,*, Metin Akay3,*
  • 1: Dept. of Computer Science, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina Ioannina, Greece.
  • 2: Medical School, Dept. of Neurology, University of Ioannina, Ioannina, Greece.
  • 3: Harrington Dept. of Bioengineering, Arizona State University, Arizona, USA
*Contact email: baga@cs.uoi.gr, fotiadis@cs.uoi.gr, skonitso@cc.uoi.gr, metin.akay@asu.edu

Abstract

In this work we describe a system for the monitoring and management of patients with neurodegenerative diseases, focusing on Parkinson's Disease and Amyotrophic Lateral Sclerosis. The system exploits a single wearable sensors' setting to detect and quantify all patient symptoms. An easy to use touchscreen interface allows patients and caregivers to provide additional useful information and assist patients to perform standard predefined tests which otherwise are performed in the clinician's office. The system exploits patient information to suggest appropriate treatment changes based on accumulated medical knowledge. In this paper the architecture of the system, as well as, its innovative features are presented.