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Updated: Dec 6, 2025

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Automatic Detection of Intestinal Bleeding using an Optical Sensor for Wireless Capsule Endoscopy.

Alimul Haque Khan, Md Hanif Ali Sohag, Seyed Shahim Vedaei

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|October 6, 2020

Summary

This summary is machine-generated.

This study introduces a new on-chip sensor for wireless capsule endoscopy (WCE) to detect gastrointestinal (GI) bleeding in real-time. The sensor uses blood

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Area of Science:

Biomedical Engineering
Gastroenterology
Optical Sensing

Background:

Wireless capsule endoscopy (WCE) is a key tool for diagnosing gastrointestinal (GI) disorders, including bleeding.
Current WCE diagnostics rely on manual visual inspection of images, which can be time-consuming and prone to error.
There is a need for real-time, automated bleeding detection within WCE devices.

Purpose of the Study:

To develop and validate an on-chip sensor for real-time GI bleeding detection.
To utilize the optical properties of blood for automated prescreening of bleeding areas.
To assess the feasibility of integrating the sensor into WCE devices.

Main Methods:

Spectrophotometry was used to analyze the chromatic properties of blood.
Key reflection ratio pairs (700 nm/630 nm and 480 nm/530 nm) were identified for blood differentiation.
Hardware was implemented using LEDs and photodiodes to validate the spectrophotometric findings.

Main Results:

Specific reflection ratio pairs effectively distinguish blood from non-blood samples.
The implemented hardware successfully validated the optical properties identified by spectrophotometry.
The sensor system demonstrated potential for real-time GI bleeding detection.

Conclusions:

The proposed on-chip sensor system is a viable candidate for integration into WCE devices.
This technology offers the potential for rapid, real-time detection of GI bleeding.
Automated bleeding detection can significantly assist physicians in WCE-based diagnosis.