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Deep brain stimulation (DBS) is a common therapy for the treatment of essential tremor (ET). Currently, this technology continuously delivers stimulation to deep brain regions to mitigate symptoms. Closed-loop DBS aims to deliver stimulation only when symptoms are present, thus improving battery life and decreasing potential side effects. In this study, we used an investigational DBS device implanted...
We assessed the impact of different motor unit action potential (MUAP) components in dynamic muscle contractions on decomposition of high-density surface electromyograms (hdEMG). In particular, hypothesis that nontravelling MUAP components, originating from the tendon regions, are less sensitive to changes in geometry of fusiform muscles than travelling MUAP components has been tested on synthetic...
Brain waves contain fundamental information about cortical activity: signal power within certain frequency bands, which is exploited by a variety of Brain-Computer Interface applications. For real-time systems, these features must be estimated as quickly as possible while maintaining high signal fidelity. Here, we present a statistically optimal signal processing framework for real-time bandpower...
The aim of this study is to determine the potential prognostic value of using Brain-computer Interface (BCI) to identify patients with disorder of consciousness (DOC), who show potential for recovery. A retrospective study involved 51 patients with DOC were conducted. Each patient conducted in a BCI experiment to detect awareness and received a 3-months follow-up. The BCI accuracies were correlated...
To solve multiple comparisons problems in EEG/MEG analyses, cluster-based permutation test is possibly the most powerful approach, while it also inherits the advantage of well-controlled family-wise error rate from point-level permutation test. Because the cluster-level statistics used accumulate statistical power of all points in a cluster, cluster-based permutation test has a much higher sensitivity...
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