Data Records
收藏DataCite Commons2023-07-12 更新2024-08-18 收录
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https://figshare.com/articles/dataset/Data_Records/23585109/1
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Subjective measurement data including participants' self-reported muscle fatigue rank, physiotherapist's palpation-based assessment of muscle stiffness during the 4-minute experiment with 30-second intervals, and final assessment of muscle fatigue were summarised in Excel spreadsheet format (e.g., <em>SelfReported_Subject01.xlsx and PhysioPalpation_Subject01.xlsx</em>). <em>readme.pdf </em>with instructions about loading the dataset, running the code, and code execution. <em>Subject: </em>Each data file is named according to the participant number, which is an integer ranging from 1 to 30. <em>Muscle stiffness measurements for 4 minutes with 30-second intervals:</em> The subjective data records for each participant include the physiotherapist's palpation-based measurements taken at 0s and 30-second intervals for a total of 8 times across nine muscle locations. <em>Physiotherapist's palpation-based muscle tightness Rank 1, Rank 2, Rank 3: </em>Followed by the muscle stiffness measurement with 30-second intervals, the data records for physiotherapist-assessed muscle tightness rank 1, 2, and 3 contain the evaluations conducted by the physiotherapist to assess muscle tightness. Each record includes the participant number, the rank of muscle fatigue assigned by the physiotherapist (1, 2, or 3), and the associated muscle location. These records reflect the expert judgment of the physiotherapist regarding the severity and localization of muscle fatigue, providing valuable objective assessments of muscle condition during the experimental sessions. <em>Self-reported muscle fatigue Rank 1, Rank 2, Rank 3:</em> The data records for self-reported muscle fatigue rank 1, 2, and 3 include information on the participants' subjective assessment of their muscle fatigue levels. Each record specifies the participant number, the rank of muscle fatigue (1, 2, or 3), and the corresponding muscle site. These records provide insights into the participants' individual perceptions of muscle fatigue and contribute to understanding the subjective experience of fatigue during the experimental sessions. <br> Raw data contains sEMG data for all subjects with nine muscles. The sEMG time and signal data were collected via a Bluetooth module and an in-house data acquisition (DAQ) system. The recorded data was stored in Excel Spreadsheets in .xlsx format, with each participant's data saved in a separate file (e.g. <em>Subject01.xlsx</em>). Time: The sEMG raw time data consists of the time series measurements recorded from the sEMG sensors. These sensors captured the electrical activity generated by the muscles during the experimental sessions. Each data entry in the time series corresponds to a specific time point. The sEMG raw time data is stored in an <em>Excel spreadsheet (.xlsx)</em> using <em>Time [s]</em> format. Raw sEMG signal: The sEMG raw signal data contains the amplitude of the electrical signals recorded by the sEMG sensors. These signals represent the muscular electrical activity and provide insights into the muscle's activation levels during the experimental sessions. Each entry in the signal data corresponds to a specific time point, reflecting the magnitude of the electrical activity at that particular moment. The sEMG raw signal data is stored in an <em>Excel spreadsheet (.xlsx)</em> using <em>Avanti sensor 5: EMG.A 5 [V]</em> format. <br> For any further information, please contact Jihoon Lim (jihoon.lim@student.unimelb.edu.au).
本数据集包含多类主观测量数据,涵盖全程4分钟、每30秒采集一次的受试者自我报告肌肉疲劳等级、理疗师基于触诊的肌肉僵硬度评估结果,以及实验结束后的最终肌肉疲劳评估,所有数据均以Excel电子表格格式汇总,示例文件名为<em>SelfReported_Subject01.xlsx</em>与<em>PhysioPalpation_Subject01.xlsx</em>。附带<em>readme.pdf</em>文档,其中详细说明了数据集加载方法、代码运行流程与执行规则。
<em>受试者命名规则:</em>各数据文件均以受试者编号命名,编号为1至30的整数。
<em>每30秒一次的4分钟肌肉僵硬度测量:</em>每位受试者的主观数据记录包含理疗师在0秒起始及每30秒进行一次的触诊评估,共计8次测量,覆盖9处肌肉位置。
<em>理疗师触诊肌肉紧张等级1、2、3:</em>在每30秒一次的肌肉僵硬度测量之外,理疗师评估的肌肉紧张等级1、2、3数据记录包含理疗师对肌肉紧张程度的专业评估结果。每条记录包含受试者编号、理疗师给定的肌肉疲劳等级(1、2或3)以及对应的肌肉部位。此类记录反映了理疗师对肌肉疲劳严重程度与定位的专业判断,为实验过程中肌肉状态提供了极具参考价值的客观评估依据。
<em>自我报告肌肉疲劳等级1、2、3:</em>自我报告肌肉疲劳等级1、2、3的数据记录包含受试者对自身肌肉疲劳程度的主观评估信息。每条记录明确标注受试者编号、肌肉疲劳等级(1、2或3)以及对应的肌肉部位。此类记录展现了受试者个体对肌肉疲劳的感知情况,有助于深入理解实验过程中疲劳的主观体验。
<br> 原始数据包含所有受试者9处肌肉的表面肌电(surface electromyography, sEMG)数据。肌电信号与时间数据通过蓝牙模块与自研数据采集(data acquisition, DAQ)系统采集得到。所记录的数据以.xlsx格式存储于Excel电子表格中,每位受试者的数据单独保存为一个文件(例如<em>Subject01.xlsx</em>)。
<em>时间数据:</em>表面肌电原始时间数据包含由肌电传感器记录的时间序列测量值。此类传感器采集了实验过程中肌肉产生的电活动,时间序列中的每条数据对应一个特定时间点。表面肌电原始时间数据以<em>Time [s]</em>格式存储于Excel电子表格(.xlsx)中。
<em>原始表面肌电信号:</em>表面肌电原始信号数据包含肌电传感器记录的电信号幅值。此类信号代表肌肉电活动,可用于分析实验过程中肌肉的激活水平。信号数据中的每条记录对应一个特定时间点,反映了该时刻电活动的强度。表面肌电原始信号数据以<em>Avanti sensor 5: EMG.A 5 [V]</em>格式存储于Excel电子表格(.xlsx)中。
<br> 如需进一步咨询相关信息,请联系Jihoon Lim(邮箱:jihoon.lim@student.unimelb.edu.au)。
提供机构:
figshare
创建时间:
2023-07-12
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