2014
DOI: 10.3389/fneng.2014.00038
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Challenges in clinical applications of brain computer interfaces in individuals with spinal cord injury

Abstract: Brain computer interfaces (BCIs) are devices that measure brain activities and translate them into control signals used for a variety of applications. Among them are systems for communication, environmental control, neuroprostheses, exoskeletons, or restorative therapies. Over the last years the technology of BCIs has reached a level of matureness allowing them to be used not only in research experiments supervised by scientists, but also in clinical routine with patients with neurological impairments supervis… Show more

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Cited by 68 publications
(43 citation statements)
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References 135 publications
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“…With a growing interest in the integration of BMI systems for rehabilitation and motor restoration of patients with motor dysfunction, the optimization of these technologies becomes of high relevance. 33 Given the time-consuming set-up procedures required to start a BMI intervention, one of the best ways to maximize the therapy time is to reduce calibration periods. Assuming that the longer the time in which the patients receive associative feedback, the better recovery, we aim at maximizing this therapy time, while trying also to maximize the decoders' performance.…”
Section: Discussionmentioning
confidence: 99%
“…With a growing interest in the integration of BMI systems for rehabilitation and motor restoration of patients with motor dysfunction, the optimization of these technologies becomes of high relevance. 33 Given the time-consuming set-up procedures required to start a BMI intervention, one of the best ways to maximize the therapy time is to reduce calibration periods. Assuming that the longer the time in which the patients receive associative feedback, the better recovery, we aim at maximizing this therapy time, while trying also to maximize the decoders' performance.…”
Section: Discussionmentioning
confidence: 99%
“…Dry or semi-dry electrodes have also been recently proposed to reduce the time necessary to prepare the recordings (Grozea, Voinescu, & Fazli, 2011;Zander et al, 2011), although they still need to reach comparable levels of signal quality and response to contamination as gel-based electrodes (Rupp, 2014). Other noninvasive approaches used in BMI studies are magnetoencephalography (MEG) (Buch et al, 2008), blood-oxygen-level dependent functional MRI (Weiskopf et al, 2003), and near infrared spectroscopy (NIRS) (Sitaram et al, 2007).…”
Section: Signal Acquisition Techniquesmentioning
confidence: 99%
“…Üst ekstremitede nöroprotezler ile birlikte kombine kullanımları gelecek vaat etmektedir. Ancak eğitimleri sırasında gelişebilecek yan etkileri yönünden (Örn; nöropatik ağrı gibi) ileri çalışmalara ihtiyaç vardır (3,5,24).…”
Section: Robotik Cihaz Ile Beyin Sinyallerini Arayüz Ile Eşleştirmeunclassified