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Algorithmic estimation of eye movements changes in relation to development of Parkinson's disease

2011/03/B/ST6/03816

Keywords

Descriptors

  • ST6_11: Multimedia
  • ST6_5: Interakcja człowiek – komputer
  • NZ5_5: Diagnostyka chorób człowieka

Panel

ST6 – Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution

Polsko-Japońska Akademia Technik Komputerowych

Voivodeship: mazowieckie

Other projects carried out by the institution »

Principal investigator (from the host institution)

dr hab. Andrzej Przybyszewski

Number of co-investigators in the project: 6

Call

OPUS 2 – announced on 2011-09-15

Amount awarded
720 356 PLN
Project start date
2012-09-05
Project end date
2017-06-04
Project duration
57 months (the same as in the proposal)
Project status
Project settled

Equipment purchased [PL]

  1. Kamera z interfejs USB3. Cost: 1 425 PLN
  2. Okulograf Obera. Cost: 39 000 PLN
  3. Urządzenie pomocnicze do śledzenia ruchow oczu Eye Tribe - 1 sztuka.
  4. Urządzenie pomocnicze do śledzenia ruchow oczu Eye Tribe - 2 sztuki.
  5. nd.
  6. smart-phone telefon aplikacyjny (3 pcs). Cost: 8 073 PLN
  7. tablet (3 pcs). Cost: 11 973 PLN

Information in the final report

Publication in academic press/journals (9)

  1. Multi-parametric analysis assists in STN localization in Parkinson's patients

    Authors:
    A.W. Przybyszewski, P. Ravind, J.G. Pilitsis, A. Szymanski, A. Barborica, P. Novak
    Academic press:
    Journal of the Neurological Sciences (year: 2016, volume: 366, pages: 37-43), Publisher: Elsevier
    Status:
    Published
    DOI:
    link to the publication

  2. Algorytm śledzenia tęczówki oka wykorzystywany do automatycznej oceny postępów choroby Parkinsona

    Authors:
    Naruniec J., Tomaszewski M., Wieczorek M.
    Academic press:
    Przegląd Telekomunikacyjny- Wiadomości Telekomunikacyjne (year: 2014, volume: on-line, pages: 979-993), Publisher: SIGMA NOT
    Status:
    Published
    DOI:
    link to the publication

  3. Deep brain stimulation

    Authors:
    Andrzej W. Przybyszewski
    Academic press:
    Journal of Neurosurgery (year: 2013, volume: on-line, pages: 1), Publisher: AANS
    Status:
    Published
    DOI:
    10.3171/2011.2.JNS101964. – link to the publication

  4. Applying Data Mining and Machine Learning Algorithms to predict symptom development in Parkinson's disease

    Authors:
    Andrzej Przybyszewski
    Academic press:
    Ann. Acad. Med. Siles. (year: 2014, volume: 68, pages: 332–349), Publisher: Śląski Uniwersytet Medyczny
    Status:
    Published

  5. Primate area V1: Largest response gain for receptive fields in the straight-ahead direction

    Authors:
    PRZYBYSZEWSKI, A. W., KAGAN, I., SNODDERLY, D.M.
    Academic press:
    Neuroreport (year: 2014, volume: 25, pages: 1109 – 15), Publisher: Phil Daly
    Status:
    Published
    DOI:
    10.1097/WNR.0000000000000235 – link to the publication

  6. Computer aided subthalamic nucleus (STN) localization during deep brain stimulation (DBS) surgery in Parkinson's patients

    Authors:
    CIECIERSKI K., MANDAT, T., ROLA, R., RAS Z. B., PRZYBYSZEWSKI, A.W.
    Academic press:
    Annales Academiae Medicae Silesiensis (year: 2014, volume: 68, pages: 275-283), Publisher: Śląski Uniwersytet Medyczny
    Status:
    Published

  7. Webcam-based system for video-oculography

    Authors:
    Jacek Naruniec ; Michał Wieczorek ; Stanisław Szlufik ; Dariusz Koziorowski ; Michał Tomaszewski ; Marek Kowalski ; Andrzej Przybyszewski
    Academic press:
    IET Computer Vision (year: 2017, volume: 11, pages: 173-180), Publisher: The Institution of Engineering and Technology 2016
    Status:
    Published
    DOI:
    10.1049/iet-cvi.2016.0226 – link to the publication

  8. Multimodal Learning and Intelligent Prediction of Symptom Development in Individual Parkinson's Patients

    Authors:
    AndrzejW. Przybyszewski, Mark Kon, Stanislaw Szlufik, Artur Szymanski, Piotr Habela and Dariusz M. Koziorowsk
    Academic press:
    Sensors (year: 2016, volume: 16(9), pages: 1498), Publisher: MDPI AG
    Status:
    Published
    DOI:
    10.3390/s16091498 – link to the publication

  9. DATA MINING AND NEURAL NETWORK SIMULATIONS CAN HELP TO IMPROVE DEEP BRAIN STIMULATION EFFECTS IN PARKINSON'S DISEASE

    Authors:
    Artur Szymański, Anna Kubis, Andrzej W. Przybyszewski
    Academic press:
    Computer Science (year: 2015, volume: 16(2), pages: 199-2015), Publisher: ADH
    Status:
    Published
    DOI:
    link to the publication

Articles in post-conference publications (9)

  1. On the basis of reflexive saccadic eye (RS) movements responses machine learning (ML) predicts UPDRS in individual Parkinson's disease (PD) patients

    Authors:
    A.W. Przybyszewski, S. Szlufik, J. Dutkiewicz, P. Habela, D. Koziorowski
    Conference:
    Joint Congress of European Neurology, Istanbul, Turkey, (year: 2014, pages: 38), Publisher: Wiley-Blackwell on behalf of the European Academy of Neurology
    Date:
    conference May 28-31
    Status:
    Published

  2. On the basis of slow pursuit eye movements' (POM) responses machine learning (ML) predicts UPDRS and symptoms development in individual Parkinson's disease (PD) patients

    Authors:
    A. Przybyszewski, S. Szlufik, J. Dutkiewicz, P. Habela, D. Koziorowski
    Conference:
    1st Congress of the European Academy of Neurology (year: 2015, pages: 650), Publisher: Wiley-Blackwell on behalf of the European Academy of Neurology
    Date:
    conference June
    Status:
    Published

  3. Reflexive saccadic eye movements' amplitude and peak velocity are evaluated in a 9-month periodical assessment in deep brain stimulation patients with Parkinson's disease

    Authors:
    S. Szlufik, J. Dutkiewicz, A. Przybyszewski, P. Habela, D. Koziorowski
    Conference:
    1st Congress of the European Academy of Neurology (year: 2015, pages: 814), Publisher: Wiley-Blackwell on behalf of the European Academy of Neurology
    Date:
    conference June
    Status:
    Published

  4. Machine Learning on the Video Basis of Slow Pursuit Eye Movements Can Predict Symptom Development in Parkinson's Patients

    Authors:
    PRZYBYSZEWSKI, A.W.,SZLUFIK, S., DUTKIEWICZ, J., HABELA, P., KOZIOROWSKI, M.
    Conference:
    ACIIDS (year: 2015, pages: LNCS 9012: 268–276), Publisher: Springer
    Date:
    conference 23-25 March
    Status:
    Published

  5. Rules Found by Multimodal Learning in One Group of Patients Help to Determine Optimal Treatment to Other Group of Parkinson's Patients

    Authors:
    Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, and Dariusz M. Koziorowski
    Conference:
    ACIIDS (year: 2017, pages: 359-367), Publisher: Springer
    Date:
    conference April 3-5
    Status:
    Published

  6. Data mining using SPECT can predict neurological symptom development in Parkinson's patients.

    Authors:
    SZYMANSKI, A., CACKO, M., NIENIECKI, M., SZLUFIK, S., DUTKIEWICZ, J., KOZIOROWSKI, M., PRZYBYSZEWSKI, A.W.
    Conference:
    IEEE 2nd Int. Conf. Proc., Cyberbetics (cyberconf) (year: 2015, pages: 218 - 223), Publisher: IEEE
    Date:
    conference 24-26 June
    Status:
    Published

  7. Fuzzy Rough Sets Theory Applied to Parameters of Eye Movements Can Help to Predict Effects of Different Treatments in Parkinson's Patients

    Authors:
    KUBIS, A., SZYMANSKI, A., PRZYBYSZEWSKI, A.W.
    Conference:
    PReMI (year: 2015, pages: LNCS 9124: 325-334), Publisher: Springer
    Date:
    conference June 30 - July 3
    Status:
    Published
    DOI:
    link to the publication

  8. Data Mining and Machine Learning on the Basis from Reflexive Eye Movements Can Predict Symptom Development in Individual Parkinson's Patients.

    Authors:
    PRZYBYSZEWSKI, A.W., KON, M., SZLUFIK, S., DUTKIEWICZ, J., HABELA, P., KOZIOROWSKI, M.
    Conference:
    MICAI (year: 2014, pages: LNAI 8857: 499-509), Publisher: Springer
    Date:
    conference 16-22 November
    Status:
    Published
    DOI:
    link to the publication

  9. Rough Set Rules help to optimize parameters of Deep Brain Stimulation in Parkinson's Patients

    Authors:
    SZYMANSKI, A., PRZYBYSZEWSKI, A.W.
    Conference:
    Web Intelligence Conference (year: 2014, pages: LNAI 8609: 345-357), Publisher: Springer
    Date:
    conference August 11-14, 2014
    Status:
    Published
    DOI:
    link to the publication

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