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Real-Time Data Acquisition in Human Physiology: Real-Time Acquisition, Processing, and Interpretation--A Matlab-Based Approach, Bansal Dipali


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Цена: 22065.00р.
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Автор: Bansal Dipali
Название:  Real-Time Data Acquisition in Human Physiology: Real-Time Acquisition, Processing, and Interpretation--A Matlab-Based Approach
ISBN: 9780128221181
Издательство: Elsevier Science
Классификация:
ISBN-10: 0128221186
Обложка/Формат: Paperback
Страницы: 208
Вес: 0.37 кг.
Дата издания: 18.06.2021
Язык: English
Иллюстрации: 40 illustrations (10 in full color); illustrations, unspecified
Размер: 23.50 x 19.05 x 1.12 cm
Подзаголовок: Real-time acquisition, processing, and interpretationвђ”a matlab-based approach
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

Real-Time Data Acquisition in Human Physiology: Real-Time Acquisition, Processing, and Interpretation--A MATLAB-Based Approach focuses on the design and development of a computer-based system to detect and digitally process human ECG, EMG, and carotid pulse waveforms in real time. The indigenous system developed and described in this book allows for an easy-to-interface, simple hardware arrangement for bio-signal detection. The computational functionality of MATLAB is verified for viewing, digital filtration, and feature extraction of acquired bio-signals.

This book demonstrates a method of providing a relatively cost-effective solution to human physiology real-time monitoring, processing, and interpretation that is more realizable and would directly benefit a larger population of patients.




Real-Time Medical Image Processing

Автор: Morio Onoe
Название: Real-Time Medical Image Processing
ISBN: 1475701233 ISBN-13(EAN): 9781475701234
Издательство: Springer
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Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Real-Time Knowledge-Based Fuzzy Logic Model for Soft Tissue Deformation

Автор: Tan Joey Sing Yee, Sidhu Amandeep S.
Название: Real-Time Knowledge-Based Fuzzy Logic Model for Soft Tissue Deformation
ISBN: 3030155846 ISBN-13(EAN): 9783030155841
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book provides a real-time and knowledge-based fuzzy logic model for soft tissue deformation. The demand for surgical simulation continues to grow, as there is a major bottleneck in surgical simulation designation and every patient is unique. Deformable models, the core of surgical simulation, play a crucial role in surgical simulation designation. Accordingly, this book (1) presents an improved mass spring model to simulate soft tissue deformation for surgery simulation; (2) ensures the accuracy of simulation by redesigning the underlying Mass Spring Model (MSM) for liver deformation, using three different fuzzy knowledge-based approaches to determine the parameters of the MSM; (3) demonstrates how data in Central Processing Unit (CPU) memory can be structured to allow coalescing according to a set of Graphical Processing Unit (GPU)-dependent alignment rules; and (4) implements heterogeneous parallel programming for the distribution of grid threats for Computer Unified Device Architecture (CUDA)-based GPU computing.

Real-Time Data Analytics For Large Scale Sensor Data

Автор: Das, Himansu
Название: Real-Time Data Analytics For Large Scale Sensor Data
ISBN: 0128180145 ISBN-13(EAN): 9780128180143
Издательство: Elsevier Science
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Цена: 22401.00 р.
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Описание:

Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics. It presents the leading-edge research in the field and identifies future challenges in this fledging research area. The book captures the essence of real-time IoT based solutions that require a multidisciplinary approach for catering to on-the-fly processing, including methods for high performance stream processing, adaptively streaming adjustment, uncertainty handling, latency handling, and more.


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