Toward Self-Powered Load Imbalance Detection for Instrumented Knee Implants Using Quadrant Triboelectric Energy Harvesters

In this study, we proposed a triboelectric nanogenerator (TENG) as a pressure sensor to measure the load imbalance on the tibial tray. To detect the load imbalance, we proposed a segmented quadrant design. The TENG pressure sensors with various micro-patterns, including pyramid, cylindrical, and bar patterns, are utilized to measure the axial forces with different sensitivity in different quadrants of the tibial tray. The functionality of the instrumented implant is examined through experimental testing on the package, evaluating its sensing capabilities and power harvesting. The relationship between each quadrant output and the axial force is determined, which enables characterizing the self-powered sensor performance. This relationship is then used to find the center of pressure, which is an important parameter for implant design. The detection of a shift in the center of pressure can be an early indication of loosening, which is one of the major causes of knee implant failure. In addition, we investigated the apparent power captured in resistance loads by applying a sinusoidal cyclic loading to the package harvester. Under an average walking load of 2200 N, each quadrant of the harvester-package prototype produces an apparent power of approximately <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mn>5</mml:mn> <mml:mi>μ</mml:mi> <mml:mspace></mml:mspace> <mml:mtext>W</mml:mtext></mml:math> at 1 Hz and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mn>10</mml:mn> <mml:mi>μ</mml:mi> <mml:mspace></mml:mspace> <mml:mtext>W</mml:mtext></mml:math> at 2 Hz.

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Publication Details

Journal
IEEE Sensors Journal
Published
2024-09-30
DOI
https://doi.org/10.1109/jsen.2024.3466215
Citations
5
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.92

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article

Toward Self-Powered Load Imbalance Detection for Instrumented Knee Implants Using Quadrant Triboelectric Energy Harvesters

Mahmood Chahari, Shahrzad Towfighian, Ryan Willing, Milutin Stanaćević et al.
5 citations
IEEE Sensors Journal
Advanced Sensor and Energy Harvesting Materials
0.92
article

Toward Self-Powered Load Imbalance Detection for Instrumented Knee Implants Using Quadrant Triboelectric Energy Harvesters

Mahmood Chahari, Shahrzad Towfighian, Ryan Willing, Milutin Stanaćević, Emre Salman, Hosein Haghshenas
article en
5 citations

Abstract

In this study, we proposed a triboelectric nanogenerator (TENG) as a pressure sensor to measure the load imbalance on the tibial tray. To detect the load imbalance, we proposed a segmented quadrant design. The TENG pressure sensors with various micro-patterns, including pyramid, cylindrical, and bar patterns, are utilized to measure the axial forces with different sensitivity in different quadrants of the tibial tray. The functionality of the instrumented implant is examined through experimental testing on the package, evaluating its sensing capabilities and power harvesting. The relationship between each quadrant output and the axial force is determined, which enables characterizing the self-powered sensor performance. This relationship is then used to find the center of pressure, which is an important parameter for implant design. The detection of a shift in the center of pressure can be an early indication of loosening, which is one of the major causes of knee implant failure. In addition, we investigated the apparent power captured in resistance loads by applying a sinusoidal cyclic loading to the package harvester. Under an average walking load of 2200 N, each quadrant of the harvester-package prototype produces an apparent power of approximately <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mn>5</mml:mn> <mml:mi>μ</mml:mi> <mml:mspace></mml:mspace> <mml:mtext>W</mml:mtext></mml:math> at 1 Hz and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mn>10</mml:mn> <mml:mi>μ</mml:mi> <mml:mspace></mml:mspace> <mml:mtext>W</mml:mtext></mml:math> at 2 Hz.

IEEE Sensors JournalVol. 24(22)
Binghamton University (US), Western University (CA), Stony Brook University (US)
National Institute of Arthritis and Musculoskeletal and Skin Diseases
Affordable and clean energy
Openalex Percentile: Top 28%
Advanced Sensor and Energy Harvesting Materials
0.92
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