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Triboelectric touch sensor for position mapping during total hip arthroplasty.

Jae Bum Jeong¹, Hyeok Kim², Jun-Il Yoo³

¹Department of Electrical Engineering, RIGET, Gyeongsang National University, Jinju, 52828, Korea.

BMC Research Notes

|August 28, 2020

Summary

A novel pressure-based sensor using a triboelectric nanogenerator (TENG) can detect friction in total hip arthroplasty (THA) implants. This technology offers sensitive detection of bearing friction during range of motion checks.

Keywords:

Position mapping Total hip arthroplasty Triboelectric touch sensor

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Area of Science:

Biomedical Engineering
Materials Science
Orthopedic Surgery

Background:

Total hip arthroplasty (THA) implants are susceptible to wear and friction, which can impact their longevity and patient outcomes.
Monitoring implant performance in real-time is crucial for early detection of potential issues.
Current methods for assessing THA friction are limited in their ability to provide continuous, in-situ data.

Purpose of the Study:

To investigate the efficacy of a triboelectric nanogenerator (TENG) based pressure sensor for detecting bearing friction in THA.
To assess the sensor's capability to identify specific contact areas during range of motion (ROM) assessments.

Main Methods:

Development and integration of a flexible, pressure-based sensor utilizing TENG technology into a THA trial.
Embedding the TENG sensor on four different sides of the implant to capture multi-directional pressure data.
Measuring the output voltage generated by the TENG sensor during simulated THA movement and friction.

Main Results:

The TENG-based pressure sensor demonstrated a clear capability to detect bearing friction within the THA.
The sensor generated a peak-to-peak output voltage of up to 1 V, indicating sensitivity to friction.
Flexible touch sensors incorporating TENG technology showed a significant peak signal in output voltage, correlating with friction.

Conclusions:

The TENG-based pressure sensor is a promising technology for sensitive, real-time detection of bearing friction in THAs.
This sensor could enable early identification of friction-related issues, potentially improving THA longevity and patient care.
Further research is warranted to validate these findings in clinical settings and explore integration into actual THA devices.