人工耳蜗远程医疗：基于心理声学自测和人工智能的远程调试

数据集获取（Figshare）

• 源站标题：Cochlear implant telemedicine: Remote fitting based on psychoacoustic self-tests and artificial intelligence
• DOI：10.6084/m9.figshare.12292799.v1
• 发布日期：2020-05-13
• 文件数：3 个
• 文件总体积：97.73 KB
• 源站页面：https://tandf.figshare.com/articles/dataset/Cochlear_implant_telemedicine_Remote_fitting_based_on_psychoacoustic_self-tests_and_artificial_intelligence/12292799

命令行下载

curl -L -o "Supplemental Digital Content 1 (table 4).docx" "https://ndownloader.figshare.com/files/22657694"
curl -L -o "Supplemental digital content 2 (figure 3).docx" "https://ndownloader.figshare.com/files/22657697"
curl -L -o "Supplemental digital content 3 (figure 4).docx" "https://ndownloader.figshare.com/files/22657700"

文件清单

• Supplemental Digital Content 1 (table 4).docx（26.29 KB）
• Supplemental digital content 2 (figure 3).docx（35.04 KB）
• Supplemental digital content 3 (figure 4).docx（36.41 KB）

文件总体积 97.73 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

Objective: This study aims to assess the feasibility of autonomous cochlear implant (CI) fitting by adult CI recipients based on psychoacoustic self-testing and artificial intelligence (AI).
Design: A feasibility study was performed on six adult CI recipients implanted with a Nucleus device. Two weeks after processor activation in the clinic, a ‘self-fitting’ session was organized in a supervised simulated home environment. The CI recipient performed pure tone audiometry and spectral discrimination tests as self-tests. The AI application FOX analysed the results and recommended a new map. The participants filled out a questionnaire and were tested again after 2 months of take-home experience.
Results: Four out of six patients performed the self-tests without any help from the audiologist and four were fitted by FOX without any manual intervention. All patients were comfortable with the concept of self-testing and automated fitting. Patients acknowledged that at this stage the remote supervision of an audiologist remains essential.
Conclusions: The study showed that audiological self-assessment and remote CI fitting with AI under the supervision of an audiologist is feasible, at least in a number of CI recipients. Currently, there are still some technical and regulatory challenges to be addressed before this can become routine practice.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.12292799.v1（source: https://tandf.figshare.com/articles/dataset/Cochlear_implant_telemedicine_Remote_fitting_based_on_psychoacoustic_self-tests_and_artificial_intelligence/12292799）。