ArticleIEEE sensors journal2021
Self-Powered Load Sensing Circuitry for Total Knee Replacement.
Article in IEEE sensors journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The trial behind it
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Who cites it
8 citing papers in PubMed.
- Machine Learning-Based Force and Activity Recognition in Total Knee Replacement Using Hybrid Triboelectric/Piezoelectric PVDF Sensors.Nano energy · 2026Article
- Porous Triboelectric Nanogenerator for Load Sensing of Total Knee Replacement.IEEE/ASME transactions on mechatronics : a joint publication of the IEEE Industrial Electronics Society and the ASME Dynamic Systems and Control Division · 2026Article
- Experimental Investigation of 3D-Printed TPU Triboelectric Composites for Biomechanical Energy Conversion in Knee Implants.Sensors (Basel, Switzerland) · 2025Article
- Performance of piezoelectric and triboelectric transducers under gait loading for energy harvesting and load monitoring in total knee replacements.Nano energy · 2025Article
- 3D printed CNT/TPU triboelectric nanogenerator for load monitoring of total knee replacement.Smart materials & structures · 2025Article
- Toward Self-Powered Load Imbalance Detection for Instrumented Knee Implants Using Quadrant Triboelectric Energy Harvesters.IEEE sensors journal · 2024Article
- Hybrid triboelectric-piezoelectric nanogenerator for long-term load monitoring in total knee replacements.Smart materials & structures · 2024Article
- State-of-the-Art Power Transfer Methods in Triboelectric Energy Harvesters.IEEE circuits and systems magazine (New York, N.Y. : 2001)Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
There has been a significant increase in the number of total knee replacement (TKR) surgeries over the past few years, particularly among active young and elderly people suffering from knee pain. Continuous and optimal monitoring of the load on the knee is highly desirable for designing more reliable knee implants. This paper focuses on designing a smart knee implant consisting of a triboelectric energy harvester and a frontend electronic system to process the harvested signal for monitoring the knee load. The harvester produces an AC signal with peak voltages ranging from 10 V to 150 V at different values of knee cyclic loads. This paper demonstrates the measurement results of a PCB prototype of the frontend electronic system fabricated to verify the functionality and feasibility of the proposed approach for a small range of cycling load. The frontend electronic system consists of a voltage processing unit to attenuate high peak voltages, a rectifier and a regulator to convert the input AC signal into a stabilized DC signal. The DC voltage signal provides biasing for the delta-sigma analog-to-digital converter (ADC). Thus, the output of the triboelectric harvester acts as both the power signal that is rectified/regulated and data signal that is digitized. The power consumption of the proposed PCB design is approximately 5.35
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.