Ultra-Low Power Application-Specific Integrated Circuits for Sensing

Kassanos, Panagiotis; Ip, H.M.D.; Yang, Guang‐Zhong

doi:10.1007/978-3-319-69748-2_5

Cited by 3 publications

(2 citation statements)

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“…A tunable low-pass filter (LPF) is required tuned to the required output frequency to filter the signal. On the other hand, analog implementations using programmable sinewave oscillators [191] or wave-shaping circuits that use non-sinewave oscillators and non-linear circuits [178], [192] (e.g. Fig.…”

Section: A Voltage Excitationmentioning

confidence: 99%

Bioimpedance Sensors: A Tutorial

Kassanos

2021

IEEE Sensors J.

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Electrical bioimpedance entails the measurement of the electrical properties of tissues as a function of frequency. It is thus a spectroscopic technique. It has been applied in a plethora of biomedical applications for diagnostic and monitoring purposes. In this tutorial, the basics of electrical bioimpedance sensor design will be discussed. The electrode/electrolyte interface is thoroughly described, as well as methods for its modelling with equivalent circuits and computational tools. The design optimization and modelling of bipolar and tetrapolar bioimpedance sensors is presented in detail, based on the sensitivity theorem. Analytical and numerical modelling approaches for electric field simulations based on conformal mapping, point electrode approximations and the finite element method (FEM) are also elaborated. Finally, current trends on bioimpedance sensors are discussed followed by an overview of instrumentation methods for bioimpedance measurements, covering aspects of voltage signal excitations, current sources, voltage measurement front-end topologies and methods for computing the electrical impedance.

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Section: A Voltage Excitationmentioning

confidence: 99%

Bioimpedance Sensors: A Tutorial

Kassanos

2021

IEEE Sensors J.

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“…However, in many cases it is either not technically feasible or uneconomic to monitor the components or parts of interest with dedicated sensors [8,9,10]. For instance, it is not possible to incorporate sensor technology into a part of interest-such as i.e., a seal-due to, for instance, technical reasons or unreasonable expenses.…”

Section: Introductionmentioning

confidence: 99%

Holistic System-Analytics as an Alternative to Isolated Sensor Technology: A Condition Monitoring Use Case

Martin¹,

Kühl²

2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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Sensor technology has become increasingly important (e.g., Industry 4.0, IoT). Large numbers of machines and products are equipped with sensors to constantly monitor their condition. Usually, the condition of an entire system is inferred through sensors in parts of the system by means of a multiplicity of methods and techniques. This so-called condition monitoring can thus reduce the downtime costs of a machine through improved maintenance scheduling. However, for small components as well as relatively inexpensive or immutable parts of a machine, sometimes it is not possible or uneconomical to embed sensors. We propose a system-oriented concept of how to monitor individual components of a complex technical system without including additional sensor technology. By using already existing sensors from the environment combined with machine learning techniques, we are able to infer the condition of a system component, without actually observing it. In consequence condition monitoring or additional services based on the component's behavior can be developed without overcoming the challenges of sensor implementation.

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