Multi-Brand Blood Pressure Monitor Readings Comparison Dataset

#Target detection #Data annotation #Model training #Medical device detection #Health monitoring #Data analysis
  • 5000 records
  • 600M
  • JPG/PNG/JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-03-15

AI Analysis & Value Prop

With increasing attention to health, the use of blood pressure monitoring devices has become more widespread. However, existing datasets often lack samples from multiple brands and models, making them insufficient for model training needs. This dataset compares readings from different brands of blood pressure monitors, aiming to provide a rich and high-quality training foundation to help improve the accuracy of target detection models in recognizing blood pressure monitor readings. Data collection utilizes professional equipment and is conducted under various lighting and environmental conditions to ensure diversity. In terms of quality control, multiple rounds of annotation and expert review are employed to ensure consistency and accuracy of annotations. Data storage uses JPG format for image storage and JSON format for annotation information, facilitating subsequent processing and analysis.

Dataset Insights

Sample Examples

88284a0d**.jpg|1280*2275|361.30 KB

82341998**.jpg|1280*963|195.48 KB

8a1da6cf**.jpg|1280*1681|186.72 KB

ea175fa8**.jpg|1280*1664|218.78 KB

7378492d**.jpg|1280*1706|256.41 KB

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
brand_namestringThe brand name of the blood pressure monitor.
systolic_readingintegerThe systolic reading displayed by the blood pressure monitor.
diastolic_readingintegerThe diastolic reading displayed by the blood pressure monitor.

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What are the application scenarios for this multi-brand blood pressure monitor reading comparison dataset?
This dataset is mainly used in the healthcare sector to train machine learning models to improve the accuracy of blood pressure monitor reading recognition. It is suitable for developing smart medical devices and applications.
What aspects of model performance can be improved by using this dataset?
By using this dataset, model accuracy and stability for recognizing readings from multi-brand blood pressure monitors can be improved, thereby enhancing generalizability across different brand devices.
What are the challenges in analyzing the multi-brand blood pressure monitor reading comparison dataset?
Challenges include the display differences between different blood pressure monitor brands, varying image quality, and the impact of different angles and lighting conditions on detection results.
How are the object detection labels defined in this dataset?
Object detection labels are typically annotated according to the display areas of readings in the images, ensuring the dataset effectively aids models in recognizing these key areas.
Why is image chosen as the data modality?
Images can vividly present the interface of blood pressure monitor readings, and through visual signal processing, they allow for better analysis and detection of performance across different brands.

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Cite this Work

@dataset{Mobiusi2025,
  title={Multi-Brand Blood Pressure Monitor Readings Comparison Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/483a70afde728b87044810e0c69ff91c},
  urldate={2025-10-22},
  keywords={Blood pressure monitor dataset, Target detection, Medical dataset, Deep learning dataset},
  version={1.0}
}

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