five

Data Records

收藏
DataCite Commons2023-12-08 更新2024-08-18 收录
下载链接:
https://figshare.com/articles/dataset/Data_Records/24770868
下载链接
链接失效反馈
官方服务:
资源简介:
Subjective measurement data including participants' self-reported muscle fatigue rank, physiotherapist's palpation-based assessment of muscle stiffness during the 210-second experiment with 30-second intervals, and final assessment of muscle fatigue were summarised in Excel spreadsheet format (e.g., <i>SelfReported_Subject01.xlsx and PhysioPalpation_Subject01.xlsx</i>).<i>readme.pdf </i>with instructions about loading the dataset, running the code, and code execution.<i>Subject: </i>Each data file is named according to the participant number, which is an integer ranging from 1 to 30.<i>Muscle stiffness measurements for 210 seconds with 30-second intervals:</i> 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.<i>Physiotherapist's palpation-based muscle tightness Rank 1, Rank 2, Rank 3: </i>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.<i>Self-reported perceived muscle fatigue Rank 1, Rank 2, Rank 3:</i> 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.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. <i>Subject01.xlsx</i>).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 <i>Excel spreadsheet (.xlsx)</i> using <i>Time [s]</i> 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 <i>Excel spreadsheet (.xlsx)</i> using <i>Avanti sensor 5: EMG.A 5 [V]</i> format.For any further information, please contact Jihoon Lim (jihoon.lim@student.unimelb.edu.au).

本数据集包含主观测量数据,涵盖210秒实验中每30秒一次采集的参与者自我报告肌肉疲劳等级、物理治疗师基于触诊的肌肉僵硬评估结果,以及最终肌肉疲劳评估结果,所有数据以Excel电子表格格式汇总(例如:<i>SelfReported_Subject01.xlsx</i>与<i>PhysioPalpation_Subject01.xlsx</i>)。附带<i>readme.pdf</i>文件,其中包含数据集加载、代码运行说明及代码执行指南。<i>数据命名规则:</i>每份数据文件以参与者编号命名,编号为1至30的整数。<i>每30秒间隔采集的210秒肌肉僵硬测量数据:</i>每位参与者的主观数据记录包含物理治疗师于0秒起每30秒进行一次的触诊评估,总计在9处肌肉位置完成8次测量。<i>物理治疗师触诊评估的肌肉紧张等级1、2、3:</i>在每30秒间隔的肌肉僵硬测量之后,物理治疗师评估的肌肉紧张等级1、2、3数据记录,包含物理治疗师对肌肉紧张程度的评估结果。每条记录包含参与者编号、物理治疗师评定的肌肉疲劳等级(1、2或3)以及对应的肌肉部位。此类记录反映了物理治疗师对肌肉疲劳严重程度与定位的专业判断,为实验过程中的肌肉状态提供了极具价值的客观评估依据。<i>自我报告的肌肉疲劳感知等级1、2、3:</i>自我报告肌肉疲劳等级1、2、3的数据记录,包含参与者对自身肌肉疲劳程度的主观评估信息。每条记录明确标注参与者编号、肌肉疲劳等级(1、2或3)以及对应的肌肉部位。此类记录展现了参与者对肌肉疲劳的个体感知,有助于理解实验过程中疲劳的主观体验。<i>原始肌电数据:</i>本数据集包含所有受试者9处肌肉的表面肌电(surface Electromyography, sEMG)原始数据。sEMG时间序列与信号数据通过蓝牙模块与自研数据采集(Data Acquisition, DAQ)系统采集得到。录制的数据以.xlsx格式存储于Excel电子表格中,每位参与者的数据单独保存为一个文件(例如<i>Subject01.xlsx</i>)。<i>时间数据:</i>sEMG原始时间数据包含从sEMG传感器采集的时间序列测量值。此类传感器捕捉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。sEMG原始时间数据以<i>Time [s]</i>格式存储于Excel电子表格(.xlsx)中。<i>原始sEMG信号数据:</i>sEMG原始信号数据包含sEMG传感器记录的电信号幅值。此类信号代表肌肉电活动,可用于解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。sEMG原始信号数据以<i>Avanti sensor 5: EMG.A 5 [V]</i>格式存储于Excel电子表格(.xlsx)中。如需获取更多信息,请联系Jihoon Lim(邮箱:jihoon.lim@student.unimelb.edu.au)。
提供机构:
figshare
创建时间:
2023-12-08
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作