数据集2的频谱特征

数据集获取（Figshare）

• 源站标题：Spectral features extracted from Dataset 2.
• DOI：10.1371/journal.pone.0323440.s002
• 发布日期：2025-06-02
• 文件数：1 个
• 文件总体积：17.17 KB
• 源站页面：https://plos.figshare.com/articles/dataset/Spectral_features_extracted_from_Dataset_2_/29214977

命令行下载

curl -L -o "pone.0323440.s002.csv" "https://ndownloader.figshare.com/files/55057127"

文件清单

• pone.0323440.s002.csv（17.17 KB）

文件总体积 17.17 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

Intestinal sounds, primarily generated by the movement of digested gas and liquids during peristalsis, are acoustic signals that provide valuable insights into intestinal functioning. Traditionally, doctors have relied on stethoscopes to assess the degree of gastrointestinal activity. Recent advancements in computer-aided technologies and electronic stethoscopes have enhanced the understanding and analysis of these sounds. Studies utilizing advanced techniques like deep learning and convolutional neural networks have shown promise in analyzing bowel sounds. Nevertheless, the reliance on personal judgment and the need for large labeled datasets limit the broader applicability of these methods. This study introduces an innovative, unsupervised grading system to objectively evaluate gastrointestinal motility by analyzing bowel sounds through spectral feature analysis. This system offers a practical alternative to traditional listening techniques or complex models. It computes an activity score for digital audio using a cost-effective numerical grading method to assist doctors in quantifying gastrointestinal motility. The method’s reliability, validated by Spearman’s rank correlation, confirms its accuracy in assessing activity levels and highlights its potential as a reliable and practical tool for supporting objective medical assessments of bowel activity.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0323440.s002（source: https://plos.figshare.com/articles/dataset/Spectral_features_extracted_from_Dataset_2_/29214977）。