Inconsistency Calibrating Algorithms for Large Scale Piezoresistive Electronic Skin

Ye, Jinhua; Lin, Zhoubin; You, Jinyan; Huang, Shuheng; Wu, Haibin

doi:10.3390/mi11020162

Cited by 8 publications

(7 citation statements)

References 23 publications

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“…To achieve the wireless reading of IOP data, it is also necessary to design the application-specific integrated circuit (ASIC) combined with the radio frequency identification (RFID) technology. In addition, the sliding of the sensor at different positions of the cornea will produce a slight deviation in the sensitivity of the sensor, so the measurement data needs to be corrected by some related algorithms [ 40 ]. We will focus on the research of these problems in our next-step work.…”

Section: Resultsmentioning

confidence: 99%

Wearable Contact Lens Sensor for Non-Invasive Continuous Monitoring of Intraocular Pressure

et al. 2021

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Intraocular pressure (IOP) is an essential indicator of the diagnosis and treatment of glaucoma. IOP has an apparent physiological rhythm, and it often reaches its peak value at night. To avoid missing the peak value at night and sample the entire rhythm cycle, the continuous monitoring of IOP is urgently needed. A wearable contact lens IOP sensor based on a platinum (Pt) strain gauge is fabricated by the micro-electro-mechanical (MEMS) process. The structure and parameters of the strain gauge are optimized to improve the sensitivity and temperature stability. Tests on an eyeball model indicate that the IOP sensor has a high sensitivity of 289.5 μV/mmHg and excellent dynamic cycling performance at different speeds of IOP variation. The temperature drift coefficient of the sensor is 33.4 μV/°C. The non-invasive IOP sensor proposed in this report exhibits high sensitivity and satisfactory stability, promising a potential in continuous IOP monitoring.

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Section: Resultsmentioning

confidence: 99%

Wearable Contact Lens Sensor for Non-Invasive Continuous Monitoring of Intraocular Pressure

et al. 2021

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“…temperature and humidity associated within a shoe), the arrangement of elements within the sensing array to ensure appropriate coverage of the plantar surface and reconstruction of the distributed load applied to the insole using the response from the sensing array, and intersensor variability (e.g. as a result of fabrication inconsistencies) and their correction using biasing techniques [54], [55]. It is pertinent to address and evaluate these aspects as an integrated system, since they are tightly coupled.…”

Section: Discussionmentioning

confidence: 99%

An Inductive Force Sensor for In-Shoe Plantar Normal and Shear Load Measurement

et al. 2020

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Diabetic foot ulcers (DFUs) are a severe global public health issue. Plantar normal and shear load are believed to play an important role in the development of foot ulcers and could be a valuable indicator to improve assessment of DFUs. However, despite their promise, plantar load measurements currently have limited clinical application, primarily due to the lack of reliable measurement techniques particularly for shear load measurements. In this paper we report on the design and evaluation of a novel tri-axis force sensor to measure both normal and shear load on the foot's plantar surface simultaneously. The sensor consists of a group of inductive sensing coils above which a conductive target is placed on a hyperelastic elastomer. Movement of the target under load affects the coil inductances which are measured and digitized by an embedded system. Using a computational finite element model, we investigated the influence of sensing coil form and configuration on sensor performance. A sensor configured with four-square coils and maximal turns provided the best performance for plantar load measurements. A prototype was fabricated and calibrated using a neural network to map the non-linear relationship between the sensor output and the applied tri-axis load. Experimental evaluation indicates that the tri-axis sensor can effectively detect shear load of ±16 N and normal load up to 105 N (RMS errors: 1.05 N and 1.73 N respectively) with a high performance. Overall, this sensor provides a promising basis for plantar normal and shear load measurement which are crucial for improved assessment of DFU.

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“…The K-means clustering algorithm is a kind of unsupervised learning algorithm based on partition, usually using Euclidean distance to measure the similarity between data [ 23 ]. The algorithm assigns all data points to the cluster with the nearest cluster center point by specifying the number of cluster centers and the initial cluster center point.…”

Section: Modeling Methods For Temperature Compensation Modelmentioning

confidence: 99%

Cold Starting Temperature Drift Modeling and Compensation of Micro-Accelerometer Based on High-Order Fourier Transform

et al. 2022

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The traditional temperature modeling method is based on the full heating of the accelerometer to achieve thermal balance, which is not suitable for the cold start-up phase of the micro-accelerometer. For decreasing the complex temperature drift of the cold start-up phase, a new temperature compensation method based on a high-order Fourier transform combined model is proposed. The system structure and repeatability test of the micro digital quartz flexible accelerometer are provided at first. Additionally, we analyzed where the complex temperature drift of the cold start-up phase comes from based on the system structure and repeatability test. Secondly, a high-order temperature compensation model combined with K-means clustering and the symbiotic organisms search (SOS) algorithm is established with repeatability test data as training data. To verify the proposed temperature compensation model, a test platform was built to transmit the measured values before and after compensation with the proposed Fourier-related model and the other time-related model, which is also a model aiming at temperature compensation in the cold start-up phase. The experimental results indicate that the proposed method achieves better compensation accuracy compared with the traditional temperature compensation methods and the time-related compensation model. Furthermore, the compensation for the cold start-up phase has no effect on the original accuracy over the whole temperature range. The stability of the accelerometer can be significantly improved to about 30 μg in the start-up phase of different temperatures after compensation.

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Inconsistency Calibrating Algorithms for Large Scale Piezoresistive Electronic Skin

Cited by 8 publications

References 23 publications

Wearable Contact Lens Sensor for Non-Invasive Continuous Monitoring of Intraocular Pressure

Wearable Contact Lens Sensor for Non-Invasive Continuous Monitoring of Intraocular Pressure

An Inductive Force Sensor for In-Shoe Plantar Normal and Shear Load Measurement

Cold Starting Temperature Drift Modeling and Compensation of Micro-Accelerometer Based on High-Order Fourier Transform

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