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Wireless Medical Systems and Algorithms: Design and Applications provides a state-of-the-art overview of the key steps in the development of wireless medical systems, from biochips to brain–computer interfaces and beyond. The book also examines some of the most advanced algorithms and data processing in the field. Addressing the latest challenges and solutions related to the medical needs, electronic design, advanced materials chemistry, wireless body sensor networks, and technologies suitable for wireless medical devices, the text: Investigates the technological and manufacturing issues associated with the development of wireless medical devicesIntroduces the techniques and strategies that can optimize the performances of algorithms for medical applications and provide robust results in terms of data reliabilityIncludes a variety of practical examples and case studies relevant to engineers, medical doctors, chemists, and biologistsWireless Medical Systems and Algorithms: Design and Applications not only highlights new technologies for the continuous surveillance of patient health conditions, but also shows how disciplines such as chemistry, biology, engineering, and medicine are merging to produce a new class of smart devices capable of managing and monitoring a wide range of cognitive and physical disabilities.

Wireless Medical Systems and Algorithms: Design and Applications provides a state-of-the-art overview of the key steps in the development of wireless medical systems, from biochips to brain–computer interfaces and beyond. The book also examines some of the most advanced algorithms and data processing in the field.

Addressing the latest challenges and solutions related to the medical needs, electronic design, advanced materials chemistry, wireless body sensor networks, and technologies suitable for wireless medical devices, the text:

Investigates the technological and manufacturing issues associated with the development of wireless medical devices Introduces the techniques and strategies that can optimize the performances of algorithms for medical applications and provide robust results in terms of data reliability Includes a variety of practical examples and case studies relevant to engineers, medical doctors, chemists, and biologists

Wireless Medical Systems and Algorithms: Design and Applications not only highlights new technologies for the continuous surveillance of patient health conditions, but also shows how disciplines such as chemistry, biology, engineering, and medicine are merging to produce a new class of smart devices capable of managing and monitoring a wide range of cognitive and physical disabilities.

Wireless Medical Systems and Algorithms: Design and Applications provides a state-of-the-art overview of the key steps in the development of wireless medical systems, from biochips to brain–computer interfaces and beyond. The book also examines some of the most advanced algorithms and data processing in the field. Addressing the latest challenges and solutions related to the medical needs, electronic design, advanced materials chemistry, wireless body sensor networks, and technologies suitable for wireless medical devices, the text: Investigates the technological and manufacturing issues associated with the development of wireless medical devicesIntroduces the techniques and strategies that can optimize the performances of algorithms for medical applications and provide robust results in terms of data reliabilityIncludes a variety of practical examples and case studies relevant to engineers, medical doctors, chemists, and biologistsWireless Medical Systems and Algorithms: Design and Applications not only highlights new technologies for the continuous surveillance of patient health conditions, but also shows how disciplines such as chemistry, biology, engineering, and medicine are merging to produce a new class of smart devices capable of managing and monitoring a wide range of cognitive and physical disabilities.

Wireless Medical Systems and Algorithms: Design and Applications provides a state-of-the-art overview of the key steps in the development of wireless medical systems, from biochips to brain–computer interfaces and beyond. The book also examines some of the most advanced algorithms and data processing in the field.

Addressing the latest challenges and solutions related to the medical needs, electronic design, advanced materials chemistry, wireless body sensor networks, and technologies suitable for wireless medical devices, the text:

Investigates the technological and manufacturing issues associated with the development of wireless medical devices Introduces the techniques and strategies that can optimize the performances of algorithms for medical applications and provide robust results in terms of data reliability Includes a variety of practical examples and case studies relevant to engineers, medical doctors, chemists, and biologists

Wireless Medical Systems and Algorithms: Design and Applications not only highlights new technologies for the continuous surveillance of patient health conditions, but also shows how disciplines such as chemistry, biology, engineering, and medicine are merging to produce a new class of smart devices capable of managing and monitoring a wide range of cognitive and physical disabilities.

Master's Thesis from the year 2004 in the subject Engineering - General, University of Pisa, language: English, abstract: The detection of the QRS complex is very important because it is related to different heart dysfunctions. The wavelet transformation is an useful tool to characterize non-stationary signals such as the QRS complex because it gives good estimation of time and frequency localization. Starting from the mathematical expression of the Gaussian function, chosen as mother wavelet, after the Laplace Transform, the Pade Approximation will be used to arrive at a rational form of the function suitable for a filter implementation. It will be shown that a switched-capacitor (SC) realization is preferable instead of a direct implementation of the filter in Continuous Time in order to avoid high-value resistor elements. The optimization of the sensitivity, noise and dynamic range of the filter will be carried out following a State-Space methodology. The resulting circuit is a 7th order complementary metal-oxide semiconductor (CMOS) SC filter.

Doctoral Thesis / Dissertation from the year 2009 in the subject Medicine - Biomedical Engineering, grade: none, University of Pisa (Faculty of Engineering), course: Bioengineering, language: English, abstract: Wearable sensors present a new frontier in the development of monitoring techniques. They are of great importance in sectors such as sport and healthcare as they permit the continuous monitoring of physiological and biological elements such as ECG and human sweat. Until recently this could only be carried out in specialized laboratories in the presence of cumbersome and often expensive devices. Sweat monitoring sensors integrated onto textile substrates are not only part of a new field of work but they also represent the first attempt to implement such an innovative idea on a system which will be worn directly on the body. The purpose of this dissertation is to present the design and creation of low cost, wearable, sweat rate and conductivity sensors integrated onto a textile.