Datasets for Bioelectrical Signals

Datasets for Bioelectrical Signals

Bioelectrical signal processing is a highly specialized field, and the availability of datasets is limited due to the sensitive nature of the data. However, several datasets are widely used in research and development. Below are some notable datasets related to bioelectrical signal processing:

1. PhysioNet – A large collection of physiological data, including electrocardiography (ECG), electroencephalography (EEG), and electromyography (EMG), used for various research applications.
2. PTB Diagnostic ECG Database – A dataset comprising 5,388 ECG recordings used for the diagnosis of cardiovascular diseases.
3. MIT-BIH Arrhythmia Database – A dataset of 48 half-hour ECG recordings for detecting cardiac arrhythmias.
4. EEG Motor Movement/Imagery Dataset – A dataset of EEG recordings during motor movement and imagery tasks, primarily for brain-computer interface development.
5. Human Connectome Project – Provides functional and structural MRI data to study brain connectivity and its various processes.
6. CHB-MIT Scalp EEG Database – A collection of EEG recordings used to study epileptic seizures in children.
7. BCI Competition IV Dataset 2a – EEG recordings used to classify motor imagery tasks, valuable for brain-computer interface research.
8. EMG Hand Movement Dataset – A dataset of EMG recordings during hand movements to support prosthetic device development.
9. EmoReact EEG Dataset – EEG recordings taken during emotion induction tasks, used in the study of affective computing.
10. Sleep EDF Database – Polysomnography recordings for the study of sleep disorders and related phenomena.
11. PTB-XL Electrocardiography Database – A dataset with ECG recordings focused on diagnosing cardiovascular diseases.
12. Brainstorm Auditory MEG Dataset – MEG recordings from auditory stimulation tasks, used to study auditory processing mechanisms.
13. MIMIC-III ICU Database – Physiological data from ICU patients, providing valuable insights for clinical research and decision-making.
14. Schizophrenia EEG Dataset – EEG recordings from individuals with schizophrenia, used to study brain activity related to the disorder.
15. Autism BrainNet Database – A dataset combining MRI and EEG recordings from individuals with autism, aimed at understanding neural processing in this group.
16. Tübingen Magnetoencephalography Dataset – MEG recordings collected to investigate cognitive processes such as perception and memory.
17. BrainGate Neural Interface System Dataset – A collection of neural recordings from patients with paralysis, used to develop neuroprosthetic devices.
18. Physiological Data Modeling Contest – A collection of various physiological datasets designed to improve predictive models in bioelectrical signal processing.
19. Prospective Arm Amputee Database – A dataset of EMG recordings from arm amputees, focusing on prosthetic development.
20. BCI Competition III Dataset IVa – EEG recordings for motor imagery task classification, designed for brain-computer interface research.

Additional Lesser-Known Datasets:

1. Parkinson’s Disease EEG Dataset – EEG recordings from patients with Parkinson’s disease for studying the disorder’s neural markers.
2. Intracranial EEG Language Study Dataset – Intracranial EEG recordings during language tasks, helping to understand language processing in the brain.
3. 12-Lead ECG Challenge Database – A dataset of 12-lead ECG recordings used for diagnosing cardiac abnormalities.
4. DREAMS Sleep Dataset – EEG and EOG recordings during sleep, focusing on sleep disorders.
5. ICASSP 2020 Seizure Detection Dataset – EEG recordings used for detecting epileptic seizures.
6. MIRIAD MRI Dataset – MRI recordings aimed at studying multiple sclerosis and related neurological conditions.
7. MEG-SIM Dataset – A simulated dataset of MEG recordings designed for the development of analysis methods.
8. Cardiac-Sound Dataset – Heart sound recordings used to study cardiac function and related diagnostic methods.
9. DEAP EEG Dataset – EEG recordings used during emotion induction tasks, applied in affective computing.
10. P300 Speller EEG Dataset – EEG recordings designed for brain-computer interface applications, specifically for the development of a P300 speller.

While the availability of bioelectrical signal datasets is growing, some datasets may be restricted or require specific permissions for access due to privacy concerns.

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