颈部传感器支持的舌骨运动追踪数据

环咽肌开放与舌骨喉部运动密切相关,该数据集可用于从非侵入传感器预测舌骨运动和吞咽生理异常。

University of Pittsburgh contributorsUniversity of Pittsburgh contributors
Figshare
2018-11-28 更新
浏览 35
时序分类Swallowing functionhyoid bone movementMachine Learning TechniquesSwallowing accelerometryDysphagiaBiomedical sensor
Neck sensor-supported hyoid bone movement tracking during swallowing

基本信息

模态
时序
大小
0.000008847 GB
数据量
400
任务类型
分类
许可
CC BY 4.0
创建/更新时间
2018-11-28
版本
v1

资源简介

颈部传感器支持的舌骨运动追踪数据

【数据集背景】

本数据集源站标题为《Neck sensor-supported hyoid bone movement tracking during swallowing》。项目资助方:Instrumental screening for dysphagia by combining high-resolution cervical auscultation with advanced data analysis tools to identify silent dysphagia and silent aspiration。源站首次发布:2018-11-28。

【数据内容】

源站原始描述:Hyoid bone movement is an important physiological event during swallowing that contributes to normal swallowing function. In order to determine the adequate hyoid bone movement, clinicians conduct an X-ray videofluoroscopic swallowing study, which even though is the gold-standard technique, has limitations such as radiation exposure and cost. Here, we demonstrated the ability to track the hyoid bone movement using a non-invasive accelerometry sensor attached on the surface of the human neck. Spe…

【数据结构与技术规格】

文件数 1 个,合计 8.85 KB。Average ROP grouped by history of stroke and gender.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,8.85 KB。数据集 DOI:10.6084/m9.figshare.7393232.v1。

【主题与分类】

源站学科分类:Biomedical engineering not elsewhere classified。主题标签:Swallowing function、hyoid bone movement、Machine Learning Techniques、Swallowing accelerometry、Dysphagia、Biomedical sensor、Biomedical Engineering not elsewhere classified。

【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://figshare.com/articles/dataset/Neck_sensor-supported_hyoid_bone_movement_tracking_during_swallowing/7393232

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

规范引用:Mao, Shitong; Zhang, Zhenwei; Khalifa, Yassin; Donohue, Cara; Coyle, James L; Sejdić, Ervin (2018). Neck sensor-supported hyoid bone movement tracking during swallowing. figshare. Dataset

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

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。

帮我联系

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 "Average ROP grouped by history of stroke and gender.xlsx" "https://ndownloader.figshare.com/files/13678025"

文件清单

  • Average ROP grouped by history of stroke and gender.xlsx(8.85 KB)

文件总体积 8.85 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

Hyoid bone movement is an important physiological event during swallowing that contributes to normal swallowing function. In order to determine the adequate hyoid bone movement, clinicians conduct an X-ray videofluoroscopic swallowing study, which even though is the gold-standard technique, has limitations such as radiation exposure and cost. Here, we demonstrated the ability to track the hyoid bone movement using a non-invasive accelerometry sensor attached on the surface of the human neck. Specifically, deep neural networks were used to mathematically describe the relationship between hyoid bone movement and sensor signals. Training and validation of the system were conducted on a dataset of 400 swallows from 114 patients. Our experiments indicated the computer-aided hyoid bone movement prediction has a promising performance when compared with human experts’’ judgments, revealing that the universal pattern of the hyoid bone movement is acquirable by the highly nonlinear algorithm. Such a sensor-supported strategy offers an alternative and widely available method for online hyoid bone movement tracking without any radiation side-effects and provides a pronounced and flexible approach for identifying dysphagia and other swallowing disorders.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.7393232.v1(source: https://figshare.com/articles/dataset/Neck_sensor-supported_hyoid_bone_movement_tracking_during_swallowing/7393232)。

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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