量化技术:研究中的基于视频的技术编码的最佳实践和设计考虑
Megan DuBois1,2, Kerry Houlihan1,2, Brittany Raab1,2
1Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA.
Behavior research methods
|March 13, 2024
概括
基于视频的行为编码 (VBBC) 提供了一种可靠的方法来量化滴滴障碍 (TD) 中的滴滴. 本文概述了VBBC在 TD研究中的最佳实践,以提高严谨性和可重复性.
科学领域:
- 神经学 神经学
- 行为科学 行为科学
- 临床研究方法论 临床研究方法论
背景情况:
- 包括图雷特综合征在内的病 (TD) 涉及非自愿的运动和发声,导致严重的终身损伤.
- 目前的ICT测量依赖于主观的问卷,缺乏客观性.
- 基于视频的行为编码 (VBBC) 提供了一种更客观的方法来量化,由于视频获取的方便,它越来越受欢迎.
研究的目的:
- 为了建立标准化的"最佳实践"VBBC在情绪障碍研究.
- 解决非标准化VBBC方法造成的严谨性和可重现性的局限性.
- 引导研究人员实施可靠和可重复的VBBC用于滴滴障碍评估.
主要方法:
- 这篇论文详细介绍了VBBC在 TD研究中的综合方法,在15年多的时间里得到了改进.
- 关键考虑因素包括数据采集协议,编码实施策略和评价者间可靠性 (IRR) 评估.
- 这些指导方针涵盖了VBBC研究的报告方法和伦理考虑.
主要成果:
- 拟议的"最佳实践"提高了VBBC在 TD研究中的可靠性和可重复性.
- 标准化方法确保了一致和客观的量化.
- 该框架有助于更严格的科学研究障碍.
结论:
- 实施标准化的VBBC"最佳实践"对于推进滴答障碍研究至关重要.
- 这种方法提高了滴滴测量的客观性和可靠性.
- 遵守这些准则将提高VBBC在TD研究的质量和影响.
相关概念视频
Sampling Methods: Overview
A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling.
In analytical chemistry, the choice of sampling...
In analytical chemistry, the choice of sampling...
Deconvolution
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
Upsampling
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
Properties of the z-Transform I
The z-transform is a fundamental tool in digital signal processing, enabling the analysis of discrete-time systems through its various properties. It is an invaluable tool for analyzing discrete-time systems, offering a range of properties that simplify complex signal manipulations. One fundamental property is linearity. For any two discrete-time signals, the z-transform of their linear combination equals the same linear combination of their individual z-transforms. This property is essential...
Encoding
Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
Methods of Medium Optimization
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...


