Bioimpedance analysis of vascular tissue and fluid flow in human and plant body: A review

Prasad, Anamika; Roy, M.

doi:10.1016/j.biosystemseng.2020.06.006

Cited by 24 publications

(19 citation statements)

References 87 publications

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“…Afterwards, in order to reduce the dimensionality of the data and to obtain indexes useful to correlate results with the fruit physiological conditions, the banana bioimpedance data were fitted with an equivalent circuit model, able to represent the flow of current in the plant tissues [38]. Among the variety of available equivalent circuits [39], the Cole model [40] was chosen, due to its simplicity and widespread application in this context. The equivalent circuit model fitting resulted in an average % RMSE, obtained by averaging the values of the 15 bananas over the 10 days period, of 3.03 %, corresponding to an average error, in terms of impedance magnitude, of 505 Ω.…”

Section: Real Use-casementioning

confidence: 99%

Design and Validation of a Portable AD5933–Based Impedance Analyzer for Smart Agriculture

et al. 2021

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This paper presents a portable impedance analyzer based on the AD5933 integrated circuit, specifically designed for fruit quality monitoring throughout its entire supply chain. The custom designed system allows to flexibly tune the parameters (i.e. excitation voltage, feedback resistor, settling time) for each AD5933 frequency range from 10 Hz to 100 kHz, leading to a precise system calibration and consequently, measurement. FruitMeter runs MicroPython on an STM32 microcontroller, allowing ease of development, advanced low-power mode, and both on-demand and scheduled measurements. The system employs Low-Energy Bluetooth and USB communication with a micro SD data storage which, together with its small size (7.5 × 2 × 4 cm in volume) and the 300 mAh rechargeable battery with USB recharge, increases the system portability and connectivity, critical for smart agriculture on-field applications. The developed portable system is validated by comparing its performance with a benchtop impedance analyzer with both passive components and fruit samples (apple, avocado, banana, mango and tomato). The comparison resulted in an average Root Mean Square Error (RMSE) of 1.0 % and 4.3 % for the passive components and of 1.36 % and 6.8 % for the fruit samples, for impedance magnitude and phase, respectively. We finally validated the system for a real use-case regarding the evaluation of banana aging evolution.

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Section: Real Use-casementioning

confidence: 99%

Design and Validation of a Portable AD5933–Based Impedance Analyzer for Smart Agriculture

et al. 2021

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“…Monitoring the plant stem helps to investigate the plant's condition, such as transpiration rate (water flow) and nutrient concentration. It could also act as an indication to the soil state 37 . For medical plants, some beneficial compounds are extracted from the plant stem, such as ethanol that has antioxidant and anti-gout activity; it also contributes to the production of some essential oils 52 .…”

Section: Stem Modelingmentioning

confidence: 99%

“…The Phloem is a bidirectional transportation system that transports food and organic materials from the green parts to the rest of the plant. The Phloem and Xylem are grouped in vertical strands called vascular bundles and are separated by a layer of cells named cambium 37,51 .…”

Section: Stem Modelingmentioning

confidence: 99%

“…The double dispersion Cole impedance model was used as a representation of the plant stem in 37 . It was used to fit measurement data of various fruits and vegetables such as banana, cucumber and oranges in 35 , where different models were compared, and the double Cole impedance model provided the best results.…”

Section: General Bio-impedance Modelsmentioning

confidence: 99%

“…Also, another models were introduced for plant leaves in 16 and roots characterization in 24 . Plant shoots and Stem were modeled for the Soybean plant using general models that do not clearly describe the stem functions 37 . To the author's knowledge, there was no previous attempt to model or characterize medical plants in general, including the Lamiaceae family.…”

Section: Introductionmentioning

confidence: 99%

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Plant Stem Tissue Modeling and Parameter Identification using Meta-heuristic Optimization Algorithms

Ghoneim¹,

Ismail²,

Said³

et al. 2021

Preprint

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Bio-impedance non-invasive measurement techniques usage is rapidly increasing in the agriculture industry. These measured impedance variations reflect tacit biochemical and biophysical changes of living and non-living tissues. Bio-impedance circuit modeling is an effective solution used in biology and medicine to fit the measured impedance. This paper proposes two new fractional-order bio-impedance plant stem models. These new models are compared among three commonly used bio-impedance fractional-order circuit models in plant modeling (Cole, Double Cole, FO Double-shell). The two proposed models represent the characterization of the biological cellular morphology of the plant stem through a non-invasive method. Experiments are conducted on two samples of three different medical plant species under the family Lamiaceae, and each sample is measured at two inter-electrode spacing distances. Bio-impedance measurements are done using an electrochemical station (SP150) in the frequency range from 100 Hz to 100 kHz. All employed models are compared by fitting the measured data to find the most suitable circuit model that models the plant stem. The proposed models give the best results in all inter-electrode spacing distances. Four different meta-heuristic optimization algorithms are used in the fitting process to extract all models parameter and find the best optimization algorithm in the bio-impedance problems.

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A Review of Recent Advancements in Sensor‐Integrated Medical Tools

Park,

Seo,

Jeong

et al. 2024

Advanced Science

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A medical tool is a general instrument intended for use in the prevention, diagnosis, and treatment of diseases in humans or other animals. Nowadays, sensors are widely employed in medical tools to analyze or quantify disease‐related parameters for the diagnosis and monitoring of patients’ diseases. Recent explosive advancements in sensor technologies have extended the integration and application of sensors in medical tools by providing more versatile in vivo sensing capabilities. These unique sensing capabilities, especially for medical tools for surgery or medical treatment, are getting more attention owing to the rapid growth of minimally invasive surgery. In this review, recent advancements in sensor‐integrated medical tools are presented, and their necessity, use, and examples are comprehensively introduced. Specifically, medical tools often utilized for medical surgery or treatment, for example, medical needles, catheters, robotic surgery, sutures, endoscopes, and tubes, are covered, and in‐depth discussions about the working mechanism used for each sensor‐integrated medical tool are provided.

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Bioimpedance analysis of vascular tissue and fluid flow in human and plant body: A review

Cited by 24 publications

References 87 publications

Design and Validation of a Portable AD5933–Based Impedance Analyzer for Smart Agriculture

Design and Validation of a Portable AD5933–Based Impedance Analyzer for Smart Agriculture

Plant Stem Tissue Modeling and Parameter Identification using Meta-heuristic Optimization Algorithms

A Review of Recent Advancements in Sensor‐Integrated Medical Tools

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