Neuroscience
We conducted a randomized controlled clinical trial to evaluate the efficacy of a brain-computer interface ( BCI ) -based visual and motor feedback motor imagery therapy system on cognitive, psychological and limb movement in hemiplegic stroke patients. We recruited more than 100 patients and randomly divided them into three groups : conventional treatment group, MI group and MI group based on brain-computer interface. The data set contains the evaluation data of these three groups of patients before and after treatment.
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This article provides an introduction to the field of datasets, including their types, characteristics, and applications. Datasets refer to collections of data that have been organized for specific purposes. They can come in various forms, including structured data, unstructured data, and semi-structured data. Each type of dataset has its own unique characteristics and uses. For example, structured data typically includes datasets that have been organized into tables and rows, such as spreadsheets or databases, while unstructured data typically includes text, images, and videos.
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Bionic vision systems are currently limited by indiscriminate activation of all retinal ganglion cells (RGCs) – despite the dozens of known RGC types which each encode a different visual message. Here, we use spike-triggered averaging to explore how electrical responsiveness varies across RGC types toward the goal of using this variation to create type-selective electrical stimuli. A battery of visual stimuli and a randomly distributed sequence of electrical pulses were delivered to healthy and degenerating (4-week-old rd10) mouse retinas.
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The concept of wellness, as proposed by Halbert L. Dunn, recognizes the importance of multiple dimensions, such as social and mental well-being, in maintaining overall health. Neglecting these dimensions can have long-term negative consequences on an individual's mental well-being. In the context of traditional in-person therapy sessions, efforts are made to manually identify underlying factors that contribute to mental disturbances, as these factors, if triggered, can potentially lead to severe mental health disorders.
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This dataset collects the responses elicited in 10 different subjects brain when imagining 10 different semantic categories of stimuli belonging to visual and auditory domain.
The responses are acquired using an electrodes cap. The 126 electrodes are placed accordin to the 10/5% system by Oostenveld.
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Design of EEG-TMS experiment. The figure shows the timeline of the experimental session, the illustration of the typical sequence of the visual cues and the structure of one trial, and the illustration of the time intervals of interest within a trial: Pre is the baseline pre-que interval [-4.5 -0.5] s; Post is the post-cue interval [0 0.5] s; Img is the interval [1 3] s of motor imagery execution; here, t=0 corresponds to the moment of the appearance of the visual cue to start the movement.
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The paired 3T-7T MRI dataset includes T1- and T2-weighted whole-brain MRI of each participant performed on an investigational 7T MAGNETOM MR system with a 32-channel receiver and a 1-channel transmit birdcage head coil (Nova Medical, Wilmington, MA, USA) and a 3T MAGNETOM Prisma MR system equipped with a 64-channel eachphased-array head coil (Siemens Healthineers, Erlangen, Germany) on the same day at Beijing MRI Center for Brain Research (BMCBR). Twenty volunteers aged 18-25 years (10 males and 10 females) recruited from a university were enrolled.
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Gestational diabetes is a type of high blood sugar that develops during pregnancy. It can occur at any stage of pregnancy and cause problems for both the mother and the baby, during and after birth. The risks can be reduced if they are early detected and managed, especially in areas where only periodic tests of pregnant women are available. Intelligent systems designed by machine learning algorithms are remodelling all fields of our lives, including the healthcare system. This study proposes a combined prediction model to diagnose gestational diabetes.
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Five users aged 23, 25, 31, 42, and 46 participated in the experiment. The users sat comfortably in a chair. A green LED of 1 cm diameter was placed at a distance of about 1 meter from a person's eyes. EEG signals were recorded using g.USBAmp with 16 active electrodes. The users were stimulated with flickering LED lights with frequencies: 5 Hz, 6 Hz, 7 Hz, and 8 Hz. The stimulation lasted 30 seconds. The recorded signals were divided into the data used for training, the first 20 seconds, and the data used for testing, the next 10 seconds, for each signal.
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This dataset contains information about published papers on how biological signals (ECG, EEG, EDA and MG + eye-tracking) are being used and collected in the field of video games. This dataset reflects the information published including the choice of signals, the devices used to collect them (e.g., wearables), the purposes for which they are collected, and the main results reported from their use.
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