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Updated: Aug 31, 2025

Bioelectric Analyses of an Osseointegrated Intelligent Implant Design System for Amputees

Bioelectric Analyses of an Osseointegrated Intelligent Implant Design System for Amputees

Published on: July 15, 2009

Implants with Sensing Capabilities.

Mladen Veletić^1,2, Ehsanul Hoque Apu^3,4, Mitar Simić⁵

¹Department of Electronic Systems, Norwegian University of Science and Technology, 7491Trondheim, Norway.

Chemical Reviews

|August 18, 2022

Summary

This summary is machine-generated.

Implantable sensors can detect early changes in biomedical devices and surrounding tissues, preventing irreversible damage. This technology enables real-time monitoring for improved implant function and patient outcomes.

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Area of Science:

Biomedical Engineering
Materials Science
Medical Devices

Background:

Increasing numbers of biomedical implants are used due to an aging population and more surgical procedures.
Foreign materials in implants pose risks of undetectable complications and irreversible damage.
Current implant monitoring lacks real-time capabilities for early intervention.

Purpose of the Study:

To highlight the potential of integrating sensors with biomedical implants.
To discuss the benefits of early detection and real-time monitoring for implant function.
To address the challenges and future directions for sensor-integrated implants.

Main Methods:

Review of current advancements in sensor integration for biomedical implants.
Analysis of applications in cardiovascular, neural, and orthopedic implants.
Discussion of interdisciplinary approaches for clinical translation.

Main Results:

Sensor integration enables early detection of subtle changes in implants and tissues.
Real-time monitoring can lead to timely interventions and improved implant performance.
Some sensor-integrated implants have reached clinical application.

Conclusions:

Sensor-integrated implants offer a promising solution for monitoring implant health and preventing complications.
Further interdisciplinary research is crucial for enhancing efficiency and clinical translation.
This technology represents a significant advancement in personalized medicine and patient safety.