Potential of electrical impedance spectroscopy to differentiate between healthy and osteopenic bone

Bhardwaj, Pradeep; Durg, V.; Garg, M. L.; Mohanty, B. P.

doi:10.1016/j.clinbiomech.2018.05.014

Cited by 14 publications

(10 citation statements)

References 33 publications

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“…From a certain frequency, the dipoles cannot follow the variations of the electric field due to the viscosity of the medium and a time delay is caused in the response of the medium, leading to the dissipation of energy in the form of heat. In biological media, three main dispersion regions can be distinguished in the frequency spectrum [55,[57][58][59]:…”

Section: Bioimpedance Definitionmentioning

confidence: 99%

“…(i) dispersion, normally in the frequency range between 10 Hz to 10 kHz. It is not fully understood yet but has been related to the phenomena of ionic diffusion of the cell membrane and the counterion effects [59,60].…”

Section: Bioimpedance Definitionmentioning

confidence: 99%

“…(ii) dispersion, in the frequency range between 10 kHz and 100 MHz. It is mainly caused by the polarization phenomenon of cell membranes, whose behavior is similar to that of a capacitance [52,58,59]. The polarization phenomena of proteins and other organic macromolecules also contribute to this dispersion [58,59].…”

Section: Bioimpedance Definitionmentioning

confidence: 99%

“…(iii) dispersion, in the range of gigahertz, caused mainly by the polarization of water molecules [59,60].…”

Section: Bioimpedance Definitionmentioning

confidence: 99%

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Fundamentals, Recent Advances, and Future Challenges in Bioimpedance Devices for Healthcare Applications

2019

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This work develops a thorough review of bioimpedance systems for healthcare applications. The basis and fundamentals of bioimpedance measurements are described covering issues ranging from the hardware diagrams to the configurations and designs of the electrodes and from the mathematical models that describe the frequency behavior of the bioimpedance to the sources of noise and artifacts. Bioimpedance applications such as body composition assessment, impedance cardiography (ICG), transthoracic impedance pneumography, electrical impedance tomography (EIT), and skin conductance are described and analyzed. A breakdown of recent advances and future challenges of bioimpedance is also performed, addressing topics such as transducers for biosensors and Lab-on-Chip technology, measurements in implantable systems, characterization of new parameters and substances, and novel bioimpedance applications.

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Section: Bioimpedance Definitionmentioning

confidence: 99%

Section: Bioimpedance Definitionmentioning

confidence: 99%

Section: Bioimpedance Definitionmentioning

confidence: 99%

“…(iii) dispersion, in the range of gigahertz, caused mainly by the polarization of water molecules [59,60].…”

Section: Bioimpedance Definitionmentioning

confidence: 99%

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Fundamentals, Recent Advances, and Future Challenges in Bioimpedance Devices for Healthcare Applications

2019

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“…This dispersion is related to β dispersion that occurs in biological media [53], usually in the 10-100 MHz range as a consequence of the polarization effects in cell membranes [54]. In body measurements, α dispersion, in the usual range of 10 Hz to 10 kHz, and γ dispersion, in the gigahertz range, use to be negligible, such that they are not taken into consideration in bioimpedance models [55,56]. The error in the estimation of the model is reduced if the number of measurement frequencies is increased [57], because the model that provides a best fit to all frequencies provides a safeguard against noise at any frequency.…”

mentioning

confidence: 99%

Smart Bioimpedance Spectroscopy Device for Body Composition Estimation

Naranjo-Hernández

Reina‐Tosina

Roa

et al. 2019

Sensors

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The purpose of this work is to describe a first approach to a smart bioimpedance spectroscopy device for its application to the estimation of body composition. The proposed device is capable of carrying out bioimpedance measurements in multiple configurable frequencies, processing the data to obtain the modulus and the bioimpedance phase in each of the frequencies, and transmitting the processed information wirelessly. Another novelty of this work is a new algorithm for the identification of Cole model parameters, which is the basis of body composition estimation through bioimpedance spectroscopy analysis. Against other proposals, the main advantages of the proposed method are its robustness against parasitic effects by employing an extended version of Cole model with phase delay and three dispersions, its simplicity and low computational load. The results obtained in a validation study with respiratory patients show the accuracy and feasibility of the proposed technology for bioimpedance measurements. The precision and validity of the algorithm was also proven in a validation study with peritoneal dialysis patients. The proposed method was the most accurate compared with other existing algorithms. Moreover, in those cases affected by parasitic effects the proposed algorithm provided better approximations to the bioimpedance values than a reference device.Sensors 2020, 20, 70 2 of 27 during pregnancy and lactation [6], in the evaluation of the risk of various pathologies [7,8], as a marker or direct cause of disease [9,10], during the process of decision making in an illness [11], aging [12] or rehabilitation processes [13], as a complement to the diagnosis and follow-up of conditions related to the cardiovascular system [14,15], in oncology [16] and even in sports science [17], among others.Despite the advances in the clinical application of bioimpedance, there are still some challenges to be solved, such as the integration of devices into e-Health systems supporting remote user monitoring [18]. In addition, the complexity of bioimpedance systems is usually quite high (current injection, voltage measurement, demodulation, processing, etc.) and the use of high-frequency signals (tens to hundreds of kHz) generally requires high power consumption, so new challenges arise for the optimization of hardware in size, energy efficiency, robustness and precision [1,19]. On the other hand, although the bioimpedance spectroscopy technique has proven to be more precise and robust than the single frequency technique, most devices base their operation on the measurement on a single frequency [1,20].Other issues are related to the models and algorithms used to estimate the BC from bioimpedance measures. A key point for an adequate BC estimation by bioimpedance analysis is a correct parameter identification of the bioimpedance model, usually the Cole model [1,[21][22][23][24][25][26][27][28][29][30][31]. Sometimes, this parameterization is performed without directly measuring the impedance values [21][22][23]. Other authors use...

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