Monitoring

VME-DWT: An Efficient Algorithm for Detection and Elimination of Eye Blink From Short Segments of Single EEG Channel

Author(s)3: Mohammad Shahbakhti, Matin Beiramvand, Mojtaba Nazari, Anna Broniec-Wójcik, Piotr Augustyniak, Ana Santos Rodrigues, Michal Wierzchon, Vaidotas Marozas
VME-DWT: An Efficient Algorithm for Detection and Elimination of Eye Blink From Short Segments of Single EEG Channel 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Objective: Recent advances in development of low-cost single-channel electroencephalography (EEG) headbands have opened new possibilities for applications in health monitoring and brain-computer interface (BCI) systems. These recorded EEG signals, however,…

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Deep Learning for Accelerometric Data Assessment and Ataxic Gait Monitoring

Author(s)3: Aleš Procházka, Ondřej Dostál, Pavel Cejnar, Hagar Ibrahim Mohamed, Zbyšek Pavelek, Martin Vališ, Oldřich Vyšata
Deep Learning for Accelerometric Data Assessment and Ataxic Gait Monitoring 526 336 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Ataxic gait monitoring and assessment of neurological disorders belong to important multidisciplinary areas that are supported by digital signal processing methods and machine learning tools. This paper presents the possibility…

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Can Wii Balance? Evaluating a Stepping Game for Older Adults

Author(s)3: Mark Deacon, John Parsons, Sean Mathieson, T. Claire Davies
Can Wii Balance? Evaluating a Stepping Game for Older Adults 300 541 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

    Decline in balance control is an issue for older adults as it leads to an increased risk of falling which may result in serious injury. Mitigating this risk may…

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