Record Nr.

UNINA9910142694203321

Titolo

Sensors in medicine and health care [[electronic resource] /] / edited by P.A. Oberg, T. Togawa, F.A. Spelman

Pubbl/distr/stampa


Weinheim, : Wiley-VCH, 2004

ISBN

1-280-52003-5

9786610520039

3-527-60141-4

3-527-60486-3

Descrizione fisica

1 online resource (446 p.)

Collana

Sensors applications ; ; v. 3

Classificazione

44.31

Altri autori (Persone)

ÖbergP. Åke

SpelmanFrancis A

TogawaTatsuo <1937->

Disciplina

681.761

Soggetti

Biosensors

Detectors

Medical instruments and apparatus

Process control

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Sensors Applications Volume 3 Sensors in Medicine and Health Care; Preface to the Series; Preface to Volume 3 of "Sensors Applications"; Contents; List of Contributors; List of Abbreviations; 1 Introduction; 1.1 Historical Breakthroughs in Medical Sensing Science; 1.1.1 Plethysmography; 1.1.2 Blood Pressure Measurements; 1.1.3 Electrophysiology and Einthoven's Galvanometer; 1.1.3.1 Electrocardiogram; 1.1.3.2 Electroencephalogram; 1.1.3.3 Electromyogram; 1.1.3.4 Microelectrodes and Intracellular Measurements; 1.1.4 Pulse Oximetry; 1.1.5 Body Temperature Measurement; 1.2 The Future

1.2.1 MEMS and BioMEMS Sensors1.2.2 Cell-Based Biosensors; 1.2.3 Optical Biopsies; 1.3 References; 2 Optical Sensors in Medical Care; 2.1 Optics in Medicine; 2.1.1 The Diagnostic/Therapeutic Window; 2.1.2 Propagation of Light in Tissue; 2.1.3 Transport Theory; 2.1.4 Diffusion

Theory and Monte Carlo Models; 2.2 Near IR Spectroscopy; 2.2.1 Scattering; 2.2.2 Brain Spectroscopy; 2.2.3 Fick's Law Applied to Brain Blood Flow; 2.2.4 Practical Details; 2.2.5 NIRS Instrumentation; 2.3 Pulse Oximetry; 2.3.1 Theory; 2.3.2 Empirical Calibration; 2.3.3 Clinical Use; 2.4 Laser Doppler Flowmetry

2.4.1 Light Scattering and Doppler Shift of Laser Light2.4.1.1 Elastic and Quasi-Elastic Scattering; 2.4.1.2 Doppler Shift; 2.4.2 Instrumentation; 2.4.3 Fiber Optics Geometry and Fiber Types; 2.4.4 Signal Processing Principles; 2.4.5 Calibration and Standardization of LDF Flow Meters; 2.4.6 Standardization; 2.4.7 Applications of the Laser Doppler Principle; 2.5 Conclusions; 2.5.1 Advantages; 2.5.2 Disadvantages; 2.6 References; 3 Biosensors for Monitoring Glucose; 3.1 Introduction; 3.2 Diabetes and the Need for Glucose Monitoring; 3.3 Monitoring Principles: Transducers

3.4 Monitoring Principles: Enzymes3.5 Manufacturing Issues; 3.6 First Generation Amperometric Glucose Biosensors; 3.7 Catalytic Transducers; 3.8 Mediated Devices; 3.9 Currently-Available Home Blood Glucose Monitors; 3.10 Currently-Available Laboratory Analyzers for Monitoring Glucose; 3.11 Direct Electron Transfer Systems; 3.12 Implantable Glucose Sensors; 3.13 Minimally-Invasive Systems; 3.14 Non-Invasive Systems; 3.15 References; 4 Biomagnetic Imaging: Principles of Magnetic Resonance Imaging and Emerging Techniques in Progress; 4.1 Introduction; 4.2 Magnetic Resonance Signal

4.2.1 Electromotive Force (EMF)4.2.2 Relaxation Times; 4.3 Overview of the Spin-Warp Imaging Method; 4.3.1 Recognition of Spins Distributed in the First Direction; 4.3.2 Recognition of Spins Distributed in the Second Direction; 4.3.3 Recognition of Spins Distributed in the Third Direction; 4.3.4 k-Space; 4.3.5 Image Contrast; 4.4 Diversification of MRI Application Techniques; 4.4.1 Magnetic Resonance Angiography (MRA); 4.4.2 Perfusion and Diffusion Imaging; 4.4.3 Functional Imaging (fMRI); 4.4.4 Magnetic Resonance Spectroscopy (MRS); 4.5 Imaging of Impedance Distribution of the Brain

4.5.1 Principles

Sommario/riassunto

Due to remarkable developments in the field of sensors along with miniaturization, sophisticated microsensors are part of many aspects of 21st century medicine and health care. Turning sensory inputs of all kinds into defined electrical signals that can be interpreted and acted upon by both stationary and portable medical equipment as well as implants, sensors find many applications monitoring blood pressure, heart rates, glucose levels and many other parameters by which human health can be evaluated. They also serve as key components in modern imaging equipment as well as operating equipmen

Record Nr.

UNICAMPANIAVAN00283061

Autore

Kulasiri, Don

Titolo

Chemical Master Equation for Large Biological Networks : State-space Expansion Methods Using AI / Don Kulasiri, Rahul Kosarwal

Pubbl/distr/stampa


Singapore, : Springer, 2021

Descrizione fisica

xviii, 217 p. : ill. ; 24 cm

Altri autori (Persone)

Kosarwal, Rahul

Soggetti

60J28 - Applications of continuous-time Markov processes on discrete state spaces [MSC 2020]

68T07 - Artificial neural networks and deep learning [MSC 2020]

92-XX - Biology and other natural sciences [MSC 2020]

92C40 - Biochemistry, molecular biology [MSC 2020]