Below 58 BPM数据集(实时音乐表演监测与自我医疗)
该数据集包含通过物联网技术实时监测歌剧歌手心率(<58 BPM)的CSV数据,用于自我医疗实践,涉及颈动脉动脉瘤患者。

基本信息
资源简介
Below 58 BPM数据集(实时音乐表演监测与自我医疗)
【一句话概览】
本数据集是 figshare 公开的时序数据集,收录 1 个文件、合计 1.30 KB,主题涵盖 IoT、sustainability、HCI、design、accessibility,可用于疾病进展预测与生理信号时序建模,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Data_Sheet_1_“Below 58 BPM,” involving real-time monitoring and self-medication practices in music performance through IoT technology.CSV》。配套论文《Green IoT: An Investigation on Energy Saving Practices for 2020 and Beyond》发表于 IEEE Access(2017),DOI:10.1109/ACCESS.2017.2686092。源站首次发布:2024-02-21。
【数据内容】
源站原始描述:The project presented in this paper illustrates the design process for the development of an IoT system that monitors a specific bio-metric parameter (heart rate) in real time and provides feedback for an opera singer, as well as adding effects that manipulate the sounds emitted by the body during a self-healing practice. This allows the singer to rest and alternate opera singing techniques (which is very demanding) with other less demanding singing techniques and even a self-healing session in…
主表 Data_Sheet_1_“Below 58 BPM,” involving real-time monitoring and self-medication practices in music performance through IoT technology.CSV 含 5 列、样本前 70 行结构完整。
【数据结构与技术规格】
文件数 1 个,合计 1.30 KB。Data_Sheet_1_“Below 58 BPM,” involving real-time monitoring and self-medication practices in music performance through IoT technology.CSV:text/plain,1.30 KB。数据集 DOI:10.3389/fcomp.2024.1187933.s003。
【主题与分类】
源站学科分类:Computer System Architecture、Computer System Security、Theoretical Computer Science、Applied Computer Science、Quantum Information, Computation and Communication、Information and Computing Sciences not elsewhere classified。主题标签:IoT、sustainability、HCI、design、accessibility、IoMusT、open source、computer music。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。时序数据适用于疾病进展预测、生理信号监测与事件发生的时序建模。
【获取与许可】
源站页面:https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Below_58_BPM_involving_real-time_monitoring_and_self-medication_practices_in_music_performance_through_IoT_technology_CSV/25256065
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Merendino, Nicoló; Rodà, Antonio; Masu, Raul (2024). Data_Sheet_1_“Below 58 BPM,” involving real-time monitoring and self-medication practices in music performance through IoT technology.CSV. Frontiers. Dataset
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
- 源站标题:Data_Sheet_1_“Below 58 BPM,” involving real-time monitoring and self-medication practices in music performance through IoT technology.CSV
- DOI:10.3389/fcomp.2024.1187933.s003
- 发布日期:2024-02-21
- 文件数:1 个
- 文件总体积:1.30 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Below_58_BPM_involving_real-time_monitoring_and_self-medication_practices_in_music_performance_through_IoT_technology_CSV/25256065
命令行下载
curl -L -o "Data_Sheet_1_“Below 58 BPM,” involving real-time monitoring and self-medication practices in music performance through IoT technology.CSV" "https://ndownloader.figshare.com/files/44619376"
文件清单
Data_Sheet_1_“Below 58 BPM,” involving real-time monitoring and self-medication practices in music performance through IoT technology.CSV(1.30 KB)
文件总体积 1.30 KB(源站 API 实测)。
数据加载示例(图像类)
from PIL import Image
import glob, os
files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)
# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path) # 要求 子目录=类别
目录组织与标注格式以源站说明和下载后实际文件为准。
数据说明
The project presented in this paper illustrates the design process for the development of an IoT system that monitors a specific bio-metric parameter (heart rate) in real time and provides feedback for an opera singer, as well as adding effects that manipulate the sounds emitted by the body during a self-healing practice. This allows the singer to rest and alternate opera singing techniques (which is very demanding) with other less demanding singing techniques and even a self-healing session in case of necessity during a performance. The case study presented in this paper has been developed with and for Eleonora Amianto, an opera singer who suffered from a carotid aneurysm. We performed an idiographic design process, closely collaborating with Eleonora, and developed a wearable IoT that suited her health and artistic needs. In the design of the system, we explore the intersection between self-healthcare and performative arts, focusing on the use of an Internet of Musical Things (IoMusT) system to implement medical prevention and treatment practices in an art performance. The system is developed using open-source tools, allowing for easy replication and improvement, as well as reducing risks of obsolescence and costs of updating. We complement a formal evaluation session with field notes collected during the design phase. We could observe a positive effect of the system on Eleonora’'s practice and its potential applications within different performative scenarios.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fcomp.2024.1187933.s003(source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Below_58_BPM_involving_real-time_monitoring_and_self-medication_practices_in_music_performance_through_IoT_technology_CSV/25256065)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
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