EDA Signal Dataset Collected During Startle Events While Walking With a Smart Cane

EDA Signal Dataset Collected During Startle Events While Walking With a Smart Cane Description This dataset includes Electrodermal Activity (EDA) signals collected from seven participants during an experiment in which they walked on a treadmill at a constant speed of 1 km/h while using a smart cane. During the walking task, participants were exposed to auditory startle stimuli designed to elicit stress responses. The smart cane was equipped with a Galvanic Skin Response (GSR) sensor integrated into its handle to continuously record physiological signals in a natural walking context. The data is organized by participant. All participants provided written informed consent both to take part in the experiment and to allow their anonymized data to be publicly shared for research purposes. Furthermore, the experiment was approved by the Ethical Committee of the Universidad de Málaga (reference 46-2024-H). Folder Structure Each folder corresponds to a particiapnt session (e.g., S0/, S2/, etc.) and contains the following files: S0/├── S0_DataExperiment.mat├── S0_audioEventVector.mat└── S0_SA_Score.mat ... S8/├── S8_DataExperiment.mat├── S8_audioEventVector.mat└── S8_SA_Score.mat In addition, the dataset includes a CSV file named caneFeatures_pre_post.csv, containing the extracted features from the GSR, tonic and phasic signals, allowing for the replication of the statistical analyses presented in the study. File Descriptions 1. S*_DataExperiment.mat Description: This file contains the EDA signals acquired at a 4 Hz sampling rate during the experiment, stored in MATLAB .mat format as a structured variable. Format: MATLAB Struct (3 fields) GSR: Contains the raw GSR signal along with associated time information: TimeStampDate (UTC date-time format) and TimeStampPosix (POSIX timestamp). TONIC: Contains the tonic component of the EDA signal with the same timestamp fields. PHASIC: Contains the phasic component of the EDA signal with the corresponding timestamps. 2. S*_audioEventVector.mat Description: This file contains information about the timing of the auditory startle stimuli presented during the experiment. The data is stored as a MATLAB struct sampled at 32 Hz. Format: MATLAB Struct (3 fields) data: A binary step signal indicating the presence of auditory events (0 = no stimulus, 1 = stimulus being played). TimeStampDate: A vector of timestamps in MATLAB datetime format, corresponding to each sample in the data field. 3. S*_SA_Score.mat Description: This file contains the self-reported State Anxiety (STAI-State) scores provided by each participant before and after the experimental session. The data is stored as a MATLAB struct. Format: MATLAB Struct (2 fields) Training: Numeric score reported after the training session. Experiment: Numeric score reported after the experimental session. Contact Information For any questions or further information regarding this dataset, please contact [e-mail].# 基于智能手杖行走时惊吓事件采集的皮肤电活动（Electrodermal Activity, EDA）数据集 ## 数据集说明 本数据集包含7名受试者参与实验时采集的皮肤电活动信号。实验过程中，受试者使用智能手杖以1 km/h的恒定速度在跑步机上行进，并在行走任务期间接受旨在诱发应激反应的听觉惊吓刺激。该智能手杖的手柄集成了皮肤电反应（Galvanic Skin Response, GSR）传感器，可在自然行走场景下持续采集生理信号。 本数据集按受试者分组整理。所有受试者均签署书面知情同意书，同意参与实验并允许其匿名数据用于公开科研共享。此外，本实验已通过马拉加大学伦理委员会审批（审批编号：46-2024-H）。 ## 文件夹结构 每个文件夹对应一名受试者的实验会话（例如S0/、S2/等），内含以下文件： S0/├── S0_DataExperiment.mat├── S0_audioEventVector.mat└── S0_SA_Score.mat ... S8/├── S8_DataExperiment.mat├── S8_audioEventVector.mat└── S8_SA_Score.mat 此外，数据集还包含一个名为caneFeatures_pre_post.csv的CSV文件，内含从GSR、紧张成分与相位成分信号中提取的特征，可用于复现本研究中的统计分析过程。 ## 文件说明 1. S*_DataExperiment.mat 本文件包含实验期间以4 Hz采样率采集的EDA信号，以MATLAB结构化变量的形式存储于MATLAB .mat格式文件中。 格式：MATLAB结构体（共3个字段） GSR：存储原始GSR信号及相关时间信息，包括TimeStampDate（UTC日期时间格式）与TimeStampPosix（POSIX时间戳）。 TONIC：存储EDA信号的紧张成分，附带相同的时间戳字段。 PHASIC：存储EDA信号的相位成分，附带对应时间戳。 2. S*_audioEventVector.mat 本文件包含实验期间呈现的听觉惊吓刺激的时序信息，数据以32 Hz采样的MATLAB结构体形式存储。 格式：MATLAB结构体（共3个字段） data：二进制阶跃信号，用于标记听觉事件的存在状态（0表示无刺激，1表示正在播放刺激）。 TimeStampDate：与data字段中每个采样点对应的MATLAB日期时间格式时间戳向量。 3. S*_SA_Score.mat 本文件包含每名受试者在实验会话前后报告的状态焦虑自评得分（STAI-State），数据以MATLAB结构体形式存储。 格式：MATLAB结构体（共2个字段） Training：训练环节结束后报告的数值得分。 Experiment：正式实验环节结束后报告的数值得分。 ## 联系方式 若您对本数据集有任何疑问或需要进一步信息，请联系[e-mail].