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Related Concept Videos

Data Collection I01:30

Data Collection I

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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 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 by Observations01:08

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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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Naturalistic Observations02:30

Naturalistic Observations

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If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
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Data Collection by Experiments01:13

Data Collection by Experiments

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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 III01:05

Data Collection III

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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.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the...
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Updated: Mar 14, 2026

Electrophysiological Measurements and Analysis of Nociception in Human Infants
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Data Collection of Infant Cries for Research and Analysis.

Anshu Chittora1, Hemant A Patil1

  • 1Dhirubhai Ambani Institute of Information and Communication Technology, Near Indroda Circle, Infocity, Gandhinagar, Gujarat, India.

Journal of Voice : Official Journal of the Voice Foundation
|September 24, 2016
PubMed
Summary

Analyzing infant cries can help identify needs like hunger or pain, aiding early diagnosis of disorders. Developing an infant cry corpus is crucial for creating tools to monitor infant well-being and health.

Keywords:
Cepstrum analysisCry modesDatabaseInfant crySpectrographic analysis

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Area of Science:

  • * Biomedical Engineering
  • * Signal Processing
  • * Developmental Psychology

Background:

  • * Infant cry analysis offers potential for identifying infant needs (hunger, pain, sickness) and enabling early diagnosis of neurological disorders.
  • * A comprehensive infant cry corpus is essential for developing reliable cry analysis tools and mobile applications for parental support.
  • * Limited commercial availability of infant cry databases hinders research in this critical area.

Purpose of the Study:

  • * To propose ideal characteristics for an infant cry corpus tailored for research applications.
  • * To identify key factors influencing infant cry characteristics.
  • * To share practical experiences from infant cry data collection.

Main Methods:

  • * Literature review on infant cry characteristics and influencing factors.
  • * Proposal of ideal corpus design specifications.
  • * Documentation of data collection methodologies and challenges.

Main Results:

  • * Defined ideal characteristics for an infant cry corpus, considering factors like cry reason, infant health, weight, and age.
  • * Identified critical factors that necessitate careful consideration during corpus design.
  • * Provided practical insights and justifications for proposed corpus characteristics.

Conclusions:

  • * Establishing a well-designed infant cry corpus is vital for advancing research in infant cry analysis and classification.
  • * The proposed corpus characteristics and shared experiences can guide future research efforts.
  • * This work aims to facilitate the development of effective infant monitoring tools and diagnostic aids.