智能手机驱动的无线无电池植入式血流传感器用于人工心脏瓣膜功能远程监测数据集

主动脉瓣疾病相关植入式血流传感器数据集,包含无线、无电池血流记录,用于人工心脏瓣膜功能远程监测。

Figshare
2020-01-14 更新
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时间序列batteryless operationbioprosthetic heart valvesconsumer smartphonesblood flow sensorsbatteryless blood flow recordingdata acquisition chainflow meter techniqueValve degradationaortic valveblood flow sensorpower consumptionblood flow characteristics
A smartphone-enabled wireless and batteryless implantable blood flow sensor for remote monitoring of prosthetic heart valve function

基本信息

模态
时间序列
大小
0.000031235 GB
许可
CC BY 4.0
创建/更新时间
2020-01-14
版本
v1

资源简介

智能手机驱动的无线无电池植入式血流传感器用于人工心脏瓣膜功能远程监测数据集

【数据集背景】

本数据集源站标题为《A smartphone-enabled wireless and batteryless implantable blood flow sensor for remote monitoring of prosthetic heart valve function》。配套论文《A smartphone-enabled wireless and batteryless implantable blood flow sensor for remote monitoring of prosthetic heart valve function》发表于 PLOS ONE(2020),DOI:10.1371/journal.pone.0227372。源站首次发布:2020-01-14。

【数据内容】

源站原始描述:Aortic valve disease is one of the leading forms of complications in the cardiovascular system. The failing native aortic valve is routinely surgically replaced with a bioprosthesis. However, insufficient durability of bioprosthetic heart valves often requires reintervention. Valve degradation can be assessed by an analysis of the blood flow characteristics downstream of the valve. This is cost and labor intensive using clinical methodologies and is performed infrequently. The integration of con…

【数据结构与技术规格】

文件数 8 个,合计 31.23 KB。pone.0227372.s001.mat:application/octet-stream,5.26 KB。pone.0227372.s002.mat:application/octet-stream,7.62 KB。pone.0227372.s003.mat:application/octet-stream,5.27 KB。数据集 DOI:10.1371/journal.pone.0227372。

【主题与分类】

源站学科分类:Medicine、Cell Biology、Genetics、Molecular Biology、Biotechnology、Chemical Sciences not elsewhere classified。主题标签:batteryless operation、bioprosthetic heart valves、consumer smartphones、prosthetic heart valve function Aortic valve disease、blood flow sensors、batteryless blood flow recording、data acquisition chain、flow meter technique、Valve degradation、aortic valve。

【适用方向】

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://plos.figshare.com/articles/dataset/A_smartphone-enabled_wireless_and_batteryless_implantable_blood_flow_sensor_for_remote_monitoring_of_prosthetic_heart_valve_function/11606943

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Vennemann, Bernhard; Obrist, Dominik; Rösgen, Thomas (2020). A smartphone-enabled wireless and batteryless implantable blood flow sensor for remote monitoring of prosthetic heart valve function. PLOS ONE. Dataset

【使用注意】

· 源站最后修改于 2023-05-30,引用时请注意版本时效。

官方服务

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从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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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)

命令行下载

curl -L -o "pone.0227372.s001.mat" "https://ndownloader.figshare.com/files/21007401"
curl -L -o "pone.0227372.s002.mat" "https://ndownloader.figshare.com/files/21007404"
curl -L -o "pone.0227372.s003.mat" "https://ndownloader.figshare.com/files/21007407"
curl -L -o "pone.0227372.s004.mat" "https://ndownloader.figshare.com/files/21007410"
curl -L -o "pone.0227372.s005.mat" "https://ndownloader.figshare.com/files/21007413"
curl -L -o "pone.0227372.s006.mat" "https://ndownloader.figshare.com/files/21007416"
curl -L -o "pone.0227372.s007.mat" "https://ndownloader.figshare.com/files/21007419"
curl -L -o "pone.0227372.s008.mat" "https://ndownloader.figshare.com/files/21007422"

文件清单

  • pone.0227372.s001.mat(5.26 KB)
  • pone.0227372.s002.mat(7.62 KB)
  • pone.0227372.s003.mat(5.27 KB)
  • pone.0227372.s004.mat(7.81 KB)
  • pone.0227372.s005.mat(693 B)
  • pone.0227372.s006.mat(990 B)
  • pone.0227372.s007.mat(897 B)
  • pone.0227372.s008.mat(2.70 KB)

文件总体积 31.23 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

Aortic valve disease is one of the leading forms of complications in the cardiovascular system. The failing native aortic valve is routinely surgically replaced with a bioprosthesis. However, insufficient durability of bioprosthetic heart valves often requires reintervention. Valve degradation can be assessed by an analysis of the blood flow characteristics downstream of the valve. This is cost and labor intensive using clinical methodologies and is performed infrequently. The integration of consumer smartphones and implantable blood flow sensors into the data acquisition chain facilitates remote management of patients that is not limited by access to clinical facilities. This article describes the characteristics of an implantable magnetic blood flow sensor which was optimized for small size and low power consumption to allow for batteryless operation. The data is wirelessly transmitted to the patient’s smartphone for in-depth processing. Tests using three different experimental setups confirmed that wireless and batteryless blood flow recording using a magnetic flow meter technique is feasible and that the sensor system is capable of monitoring the characteristic flow downstream of the valve.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0227372(source: https://plos.figshare.com/articles/dataset/A_smartphone-enabled_wireless_and_batteryless_implantable_blood_flow_sensor_for_remote_monitoring_of_prosthetic_heart_valve_function/11606943)。

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。

⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。

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