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Summary

This study introduces an objective palpation sensor system to quantify tactile information. The developed sensor accurately detects lumps in soft tissues, offering potential for improved medical diagnosis.

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Area of Science:

Biomedical Engineering
Medical Devices
Surgical Technology

Background:

Palpation is a traditional medical technique for diagnosing conditions.
Current palpation methods are subjective, relying heavily on examiner skill.
A need exists for objective, quantitative tactile assessment in medicine.

Purpose of the Study:

To develop and fabricate an objective palpation sensor system.
To enable quantitative tactile information acquisition for medical screening.
To assess the system's efficacy in detecting abnormalities in soft tissues.

Main Methods:

A roller scanning palpation sensor system was designed and built.
The system utilized an x-axis linear slider and a palpation probe.
Chrome steel balls indented and scanned silicone phantoms with embedded lumps, measuring reaction force fluctuations.

Main Results:

The sensor system demonstrated a strong linear correlation (r²=0.9985) with load cell outputs.
The system successfully detected lumps of various sizes embedded at a depth of 5mm in silicone samples.
Reaction force waveform fluctuations reliably indicated the presence of embedded lumps.

Conclusions:

The proposed sensor system provides an objective method for tactile data acquisition.
This technology shows significant potential for enhancing tissue characterization.
The system could lead to more accurate and reliable medical diagnoses.