新型可穿戴吞咽表面肌电补片（Kantarcigil等，2020）

数据集获取（Figshare）

• 源站标题：Novel wearable sEMG patch for swallowing (Kantarcigil et al., 2020)
• DOI：10.23641/asha.12915509.v1
• 发布日期：2020-09-10
• 文件数：4 个
• 文件总体积：278.89 KB
• 源站页面：https://asha.figshare.com/articles/dataset/Novel_wearable_sEMG_patch_for_swallowing_Kantarcigil_et_al_2020_/12915509

命令行下载

curl -L -o "JSLHR-20-00171malandraki_SuppS1.pdf" "https://ndownloader.figshare.com/files/24571112"
curl -L -o "JSLHR-20-00171malandraki_SuppS2.pdf" "https://ndownloader.figshare.com/files/24571103"
curl -L -o "JSLHR-20-00171malandraki_SuppS3.pdf" "https://ndownloader.figshare.com/files/24571106"
curl -L -o "JSLHR-20-00171malandraki_SuppS4.pdf" "https://ndownloader.figshare.com/files/24571109"

文件清单

• JSLHR-20-00171malandraki_SuppS1.pdf（62.45 KB）
• JSLHR-20-00171malandraki_SuppS2.pdf（73.92 KB）
• JSLHR-20-00171malandraki_SuppS3.pdf（68.70 KB）
• JSLHR-20-00171malandraki_SuppS4.pdf（73.82 KB）

文件总体积 278.89 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

Purpose: Surface electromyography (sEMG) is often used for biofeedback during swallowing rehabilitation. However, commercially available sEMG electrodes are not optimized for the head and neck area, have rigid form, and are mostly available in large medical centers. We developed an ultrathin, soft, and flexible sEMG patch, specifically designed to conform to the submental anatomy and which will be ultimately incorporated into a telehealth system. To validate this first-generation sEMG patch, we compared its safety, efficiency, and signal quality in monitoring submental muscle activity with that of widely used conventional sEMG electrodes.
Method: A randomized crossover design was used to compare the experimental sEMG patch with conventional (snap-on) sEMG electrodes. Participants completed the same experimental protocol with both electrodes in counterbalanced order. Swallow trials included five trials of 5- and 10-ml water. Comparisons were made on (a) signal-related factors: signal-to-noise ratio (SNR), baseline amplitude, normalized mean amplitude, and sEMG burst duration and (b) safety/preclinical factors: safety/adverse effects, efficiency of electrode placement, and satisfaction/comfort. Noninferiority and equivalence tests were used to examine signal-related factors. Paired t tests and descriptive statistics were used to examine safety/preclinical factors.
Results: Forty healthy adults participated (24 women, Mage = 67.5 years). Signal-related factors: SNR of the experimental patch was not inferior to the SNR of the conventional electrodes (p p p p p p p = .0476, d = 0.226).
Conclusions: Our new wearable sEMG patch is equivalent with widely used conventional sEMG electrodes in terms of technical performance. In addition, our patch is safe, and healthy older adults are satisfied with it. With lessons learned from the current COVID-19 pandemic, efforts to develop optimal swallowing telerehabilitation devices are more urgent than ever. Upon further validation, this new technology has the potential to improve rehabilitation and telerehabilitation efforts for patients with dysphagia.

Supplemental Material S1. Inter- and intrarater reliability.

Supplemental Ma

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.23641/asha.12915509.v1（source: https://asha.figshare.com/articles/dataset/Novel_wearable_sEMG_patch_for_swallowing_Kantarcigil_et_al_2020_/12915509）。