five

Data Records

收藏
DataCite Commons2025-06-01 更新2024-08-26 收录
下载链接:
https://figshare.com/articles/dataset/Data_Records/24770868/1
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,涵盖受试者自我报告的肌肉疲劳等级、理疗师基于触诊的肌肉僵硬程度评估(实验时长210秒,每30秒采集一次)以及最终肌肉疲劳评估结果,所有数据以Excel电子表格格式存储,示例文件包括SelfReported_Subject01.xlsx与PhysioPalpation_Subject01.xlsx。 附带readme.pdf文件,其中包含数据集加载、代码运行及程序执行的相关说明。 受试者命名规则:所有数据文件均以受试者编号命名,编号为1至30的整数。 210秒时长、每30秒间隔的肌肉僵硬度测量:每位受试者的主观数据记录包含理疗师基于触诊的测量结果,测量在0秒开始,每30秒采集一次,总计8次,覆盖9处肌肉部位。 理疗师触诊评估肌肉紧张度等级1、2、3:紧随每30秒间隔的肌肉僵硬度测量之后,理疗师评估的肌肉紧张度等级1、2、3数据记录包含理疗师针对肌肉紧张度的评定结果。每条记录均包含受试者编号、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。此类记录体现了理疗师对肌肉疲劳严重程度与部位的专业判断,为实验过程中肌肉状态提供了极具价值的客观评估依据。 自我报告肌肉疲劳等级1、2、3: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。每条记录均明确受试者编号、肌肉疲劳等级(1、2或3)以及对应的肌肉部位。此类记录可反映受试者个体对肌肉疲劳的感知情况,有助于理解实验过程中疲劳的主观体验。 原始数据包含所有受试者9处肌肉的表面肌电图(surface electromyography, sEMG)数据。sEMG的时间与信号数据通过蓝牙模块及自研数据采集(DAQ)系统采集。记录的数据以.xlsx格式的Excel电子表格存储,每位受试者的数据单独保存为一个文件,例如Subject01.xlsx。 时间数据:sEMG原始时间数据由sEMG传感器记录的时间序列测量值组成,这些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的时间点。sEMG原始时间数据以Time [s]格式存储于Excel电子表格(.xlsx)中。 原始sEMG信号:sEMG原始信号数据包含sEMG传感器记录的电信号幅值,此类信号代表肌肉的电活动,可用于分析实验过程中的肌肉激活水平。信号数据中的每条条目对应一个特定的时间点,反映该时刻电活动的强度。sEMG原始信号数据以Avanti sensor 5: EMG.A 5 [V]格式存储于Excel电子表格(.xlsx)中。 如需进一步信息,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
搜集汇总
数据集介绍
main_image_url
背景与挑战
背景概述
该数据集包含30名参与者的自我报告肌肉疲劳评估和物理治疗师的肌肉僵硬触诊评估数据,记录了210秒实验过程中每30秒间隔的测量结果,同时包含原始表面肌电图(sEMG)数据,用于分析肌肉活动信号和疲劳评估。
以上内容由遇见数据集搜集并总结生成
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