Speech-Heart Rate Dataset
收藏arXiv2020-02-26 更新2024-08-06 收录
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http://arxiv.org/abs/2002.11250v1
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资源简介：
本数据集名为‘Speech-Heart Rate Dataset’，由国王哈立德大学创建，旨在通过机器学习和深度学习技术，从语音信号中准确估计心率。数据集包含85名志愿者的语音记录及其同步心率测量数据，采用Logitech H540麦克风和脉搏血氧仪进行采集。数据集内容包括原始语音文件、心率测量数据、预处理语音文件和语音特征文件（MFCC）。创建过程中，志愿者在安静环境下朗读特定句子，同时记录心率。该数据集适用于开发和测试机器学习算法，以非侵入性方式监测患者心率，具有重要的医疗诊断和治疗应用价值。
This dataset, named "Speech-Heart Rate Dataset", was developed by King Khalid University. Its core objective is to accurately estimate heart rate from speech signals using machine learning and deep learning technologies. The dataset encompasses speech recordings and synchronized heart rate measurement data from 85 volunteers, which were collected using a Logitech H540 microphone and a pulse oximeter. The dataset includes raw speech files, heart rate measurement data, preprocessed speech files, and speech feature files (MFCC). During the dataset creation process, volunteers read specified sentences in a quiet environment while their heart rates were simultaneously recorded. This dataset is applicable for developing and testing machine learning algorithms for non-invasive patient heart rate monitoring, and holds significant application value in medical diagnosis and treatment.
提供机构：
国王哈立德大学
创建时间：
2020-02-26
