Self-Powered Load Sensing Circuitry for Total Knee Replacement.

Autor: Jain M; Stony Brook University (SUNY), Stony Brook, NY, USA., Hossain NA; Binghamton University (SUNY), Binghamton, NY, USA., Towfighian S; Binghamton University (SUNY), Binghamton, NY, USA., Willing R; University of Western Ontario, London, Canada., Stanaćević M; Stony Brook University (SUNY), Stony Brook, NY, USA., Salman E; Stony Brook University (SUNY), Stony Brook, NY, USA.
Jazyk: angličtina
Zdroj: IEEE sensors journal [IEEE Sens J] 2021 Oct 15; Vol. 21 (20), pp. 22967-22975. Date of Electronic Publication: 2021 Sep 03.
DOI: 10.1109/jsen.2021.3110241
Abstrakt: 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 μ W. Next, the frontend sensor circuitry is improved to accommodate a wider range of cyclic load. These results demonstrate that triboelectric energy harvesting is a promising technique for self-monitoring the load inside knee implants.
Databáze: MEDLINE
Externí odkaz: