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The implanted electrical resistance strain gauge: in vitro studies on data integrity.
A H Crawshaw1, G W Hastings, J Dove
1Medical Institute, Staffordshire, Polytechnic, Hartshill, Stoke-on-Trent, UK.
Journal of Medical Engineering & Technology
|March 1, 1991
Summary
This study developed a protected electrical resistance strain gauge to measure spinal implant loading in vivo. Encapsulation minimizes moisture ingress, ensuring accurate strain measurements for bone fusion monitoring over 24 weeks.
Area of Science:
- Biomedical Engineering
- Materials Science
Background:
- Electrical resistance strain gauges are crucial for measuring in vivo loading on spinal implants.
- Tissue fluid ingress can adversely affect strain gauge performance and accuracy.
- Accurate in vivo loading data is essential for assessing spinal fusion and implant success.
Purpose of the Study:
- To investigate and mitigate the effects of tissue fluid ingress on strain gauges used for spinal implants.
- To ensure the long-term accuracy of strain measurements for monitoring bone fusion.
- To develop signal compensation methods for persistent errors.
Main Methods:
- Developed a strain gauge package with maximum metallic coverage (stainless steel foil on epoxide) to minimize moisture absorption.
- Conducted cyclic strain wet endurance testing in saline to simulate the in vivo environment.
- Performed stepped-load and quasi-static (passive) studies to evaluate strain measurement accuracy over time.
Main Results:
- The protected strain gauge showed a fall in indicated quasi-dynamic strain of less than 1.5% at 24 weeks.
- Stiffening of the fusion mass can be deduced with similar accuracy, with creep as a secondary effect.
- Quasi-static studies revealed a total signal error exceeding 16% by 24 weeks due to grid corrosion and long-term drifts.
Conclusions:
- The developed packaging effectively minimizes moisture ingress, enabling accurate quasi-dynamic strain measurements for up to 24 weeks.
- While dynamic measurements are reliable, quasi-static measurements require signal compensation due to cumulative errors.
- An empirical characterization of total error versus time was derived to aid in signal compensation strategies.