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Home/Healthcare & Medical/Medical Sleep Quality Monitoring Instrument Image Recognition Dataset

Medical Sleep Quality Monitoring Instrument Image Recognition Dataset

#image classification #object detection #image segmentation #medical health monitoring #sleep quality analysis #medical equipment image recognition

Records: 500 records
Size: 1.2G
Format: JPG
Provider: MOBIUSI INC
Updated: v1.02026-11-04

AI Analysis & Value Prop

Currently, the medical health field is highly concerned with monitoring sleep quality. However, many traditional monitoring systems face challenges in accurately recognizing images of sleep states, primarily due to the lack of datasets and limitations in existing algorithms. Most solutions rely on shallow image processing techniques, making it difficult to ensure detection accuracy and precision. This dataset aims to enhance the precision and reliability of image recognition in medical sleep monitoring instruments, meeting specific needs of the medical health field. Data collection is carried out using high-precision medical monitoring instruments in simulated sleep environments to ensure data diversity and authenticity. Quality control includes multiple rounds of expert annotation, data consistency checks, and regular reviews. The annotation team consists of medical imaging experts and data scientists, involving a total of 50 participants. Data preprocessing steps include image denoising, contrast enhancement, and annotation correction. Finally, the data is stored in a hierarchical folder structure, with each image accompanied by detailed metadata.

Overview

Dataset Insights

Preview

Sample Examples

ce405d05**.jpg|1080*1401|194.32 KB

44a0a74e**.jpg|1080*1403|333.96 KB

97538933**.jpg|1080*1401|171.88 KB

8dbfd07e**.jpg|1080*1405|238.65 KB

Schema

Technical Specifications

Field	Type	Description
file_name	string	File name
quality	string	Resolution
device_type	string	The type of medical instrument, such as sleep monitor, CPAP device, etc.
device_brand	string	The brand name of the device, such as ResMed, Philips, etc.
device_model	string	Model information of the device, used for identifying different device versions.
display_status	string	The status of the instrument's display, such as standby, operating, alarm.
button_layout	string	The button layout on the device, such as linear, circular.
alarm_signal_presence	boolean	Whether there is an alarm signal present in the image.
user_interface_language	string	Language of the device's user interface, such as Chinese, English.

Trust

Compliance Statement

Authorization Type

Proprietary - Commercial AI Training License (No Redistribution)

Commercial Use

Requires exclusive subscription or authorization contract (monthly or per-invocation charging)

Privacy and Anonymization

No PII, no real company names, simulated scenarios follow industry standards

Compliance System

Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

FAQ

Frequently Asked Questions

What is the Medical Sleep Quality Monitoring Instrument Image Recognition Dataset?: It is an image dataset used to enhance the recognition accuracy of medical instruments for sleep quality monitoring.

Why is an image recognition dataset needed in the medical field?: In the medical field, an image recognition dataset can help improve the accuracy of diagnostic and monitoring devices, providing more reliable patient information.

How does this dataset improve the accuracy of sleep monitoring instruments?: By providing a variety of image samples, this dataset enables machine learning models to better recognize and classify different sleep patterns and instrument readings.

Which organizations can benefit from this dataset?: Medical research institutions, hospital equipment manufacturers, and academic institutions can all utilize this dataset to improve their devices and research.

Why is the modality of the dataset images?: The image modality is chosen because it can intuitively capture the measurement results and status of the instruments, aiding in recognition and classification.

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Cite this Work

@dataset{Mobiusi2026,
  title={Medical Sleep Quality Monitoring Instrument Image Recognition Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/0343adf4c2d006d14ec48e2501af34b1?dataset_scene_cate_type=3},
  urldate={2026-02-04},
  keywords={medical image recognition, sleep monitoring dataset, health dataset},
  version={1.0}
}

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