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Related Concept Videos

Data Collection II01:29

Data Collection II

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The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
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Data Collection by Survey01:07

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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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Data Collection III01:05

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The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
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Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
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Related Experiment Video

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Extracting Visual Evoked Potentials from EEG Data Recorded During fMRI-guided Transcranial Magnetic Stimulation
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EEG data collection using visual evoked, steady state visual evoked and motor image task, designed to brain computer

S M Fernandez-Fraga1, M A Aceves-Fernandez2, J C Pedraza-Ortega2

  • 1Tecnólogico Nacional de México/Instituto Tecnológico de Querétaro Mexico.

Data in Brief
|June 28, 2019
PubMed
Summary

This study presents electroencephalogram (EEG) data from 29 subjects performing visual stimuli and motor imagery tasks. The dataset includes visual evoked potentials (VEP), steady-state visual evoked potentials (SSVEP), and motor imagery (MI) signals for research applications.

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Data Science

Background:

  • Electroencephalogram (EEG) data is crucial for understanding brain activity.
  • Standardized datasets facilitate reproducible research in brain-computer interfaces and neuroscience.
  • Previous studies have utilized similar data for algorithm development and signal processing techniques.

Purpose of the Study:

  • To present a comprehensive dataset of EEG signals from subjects performing specific cognitive and motor tasks.
  • To provide a valuable resource for researchers investigating visual stimuli responses and motor imagery.
  • To support the development and validation of signal processing and machine learning algorithms for EEG data.

Main Methods:

  • EEG data was collected from 29 healthy subjects.
  • Tasks included responses to visual stimuli (VEP, SSVEP) and motor imagery (MI) of hands.
  • Data acquired using a portable Emotiv Epoc+ EEG system with 14 data channels and 2 reference channels.

Main Results:

  • The dataset comprises three distinct types of EEG signals: VEP, SSVEP, and MI.
  • The data has been successfully used in various research projects for algorithm testing and optimization.
  • The dataset enables the study of brain signal characteristics related to visual perception and motor control.

Conclusions:

  • This publicly available EEG dataset serves as a valuable resource for the neuroscience and BCI research communities.
  • The data supports research in areas such as brain-computer interface development, cognitive state detection, and advanced signal processing.
  • The dataset facilitates comparative studies and the advancement of heuristic and collective animal intelligence-based optimization algorithms.