Wearable and Wireless Systems for Healthcare I: Gait and Reflex Response Quantification: 27 (Smart Sensors, Measurement and Instrumentation, 27) - Image 1

£73.38

Springer Wearable and Wireless Systems for Healthcare I: Gait and Reflex Response Quantification: 27 (Smart Sensors, Measurement and Instrumentation, 27)

Name: Wearable and Wireless Systems for Healthcare I: Gait and Reflex Response Quantification: 27 (Smart Sensors, Measurement and Instrumentation, 27)
Brand: Springer
Price: 73.38 GBP
Availability: InStock

Computing & Internet

About as cheap as it gets. The only time it was cheaper was 2 months ago.

£73 today · all-time low £73 (May 2026) · usually the usual

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 42 days · 42 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 42 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £74 (39 days, 92.9%)

Price range: £73 - £74

Price levels: 2 different prices over 42 days

Description

This book provides visionary perspective and interpretation regarding the role of wearable and wireless systems for the domain of gait and reflex response quantification. These observations are brought together in their application to smartphones and other portable media devices to quantify gait and reflex response in the context of machine learning for diagnostic classification and integration with the Internet of things and cloud computing. The perspective of this book is from the first-in-the-world application of these devices, as in smartphones, for quantifying gait and reflex response, to the current state of the art. Dr. LeMoyne has published multiple groundbreaking applications using smartphones and portable media devices to quantify gait and reflex response. From the Back Cover This book provides visionary perspective and interpretation regarding the role of wearable and wireless systems for the domain of gait and reflex response quantification. These observations are brought together in their application to smartphones and other portable media devices to quantify gait and reflex response in the context of machine learning for diagnostic classification and integration with the Internet of things and cloud computing. The perspective of this book is from the first-in-the-world application of these devices, as in smartphones, for quantifying gait and reflex response, to the current state of the art. Dr. LeMoyne has published multiple groundbreaking applications using smartphones and portable media devices to quantify gait and reflex response. About the Author Dr. Robert LeMoyne is currently serving as an Adjunct Professor of Biology, Department of Biological Sciences and Center for Bioengineering Innovation for Northern Arizona University. At Northern Arizona University he is researching advanced technology for wearable and wireless systems for biomedical applications. He earned his PhD in Biomedical Engineering from University of California Los Angeles (UCLA) during 2010. From 2010 to 2012 he served Sandia National Laboratories, and since 2013 he has been serving Northern Arizona University. From a biomedical engineering perspective his research interests emphasize prosthetic technologies, machine learning applications, and wearable and wireless systems for biomedical applications, such as through smartphones and portable media devices, for accessing health status. Timothy Mastroianni is a Cognitive Scientist, Researcher, Entrepreneur. He is first to develop and use computer vision and pattern recognition in a non-invasive manner to discover the internal states of the random number generator in machines (HiLoClient). Later, he presented these algorithms and methods to Carnegie Mellon University to map the human brain using machine learning and fMRI to discover brain states during specific tasks.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 9811354626
Category: Books > Subjects > Computing & Internet
Domain: Amazon UK
Release Date: 09 February 2019
Listed Since: 20 December 2018

Barcode

No barcode data available

Springer Wearable and Wireless Systems for Healthcare I: Gait and Reflex Response Quantification: 27 (Smart Sensors, Measurement and Instrumentation, 27)

About as cheap as it gets. The only time it was cheaper was 2 months ago.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Closing the Care Gap with Wearable Devices: Innovating Healthcare with Wearable Patient Monitoring (Intelligent Health Series)

Telemedicine Technologies: Information Technologies in Medicine and Digital Health

Wearable Biosensors for Healthcare: Techniques and Applications

Ambulation Analysis in Wearable ECG

Fundamentals of IoT and Wearable Technology Design

Mobile Networks for Biometric Data Analysis: 392 (Lecture Notes in Electrical Engineering, 392)

Smart Health Systems: Emerging Trends

Internet of Things for Healthcare Technologies: 73 (Studies in Big Data, 73)

Human Walking in Virtual Environments: Perception, Technology, and Applications

Biomechatronics in Medical Rehabilitation: Biomodelling, Interface, and Control

Advances in Biometrics: Modern Methods and Implementation Strategies

Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint

Measurement and Analysis of Human Locomotion (Series in Biomedical Engineering)

Technologies for Medical Sciences: 1 (Lecture Notes in Computational Vision and Biomechanics, 1)

Machine Learning for Vision-Based Motion Analysis: Theory and Techniques (Advances in Computer Vision and Pattern Recognition)

Efficient Data Handling for Massive Internet of Medical Things: Healthcare Data Analytics (Internet of Things)

Wireless Power Transfer and Data Communication for Neural Implants: Case Study: Epilepsy Monitoring (Analog Circuits and Signal Processing)

Wireless Power Transfer and Data Communication for Neural Implants: Case Study: Epilepsy Monitoring (Analog Circuits and Signal Processing)

Biomedical Signal Processing: Innovation and Applications

The Internet of Medical Things: Enabling technologies and emerging applications (Healthcare Technologies)

Revolutionizing Healthcare Treatment With Sensor Technology

Modern Sensing Technologies: 29 (Smart Sensors, Measurement and Instrumentation, 29)

Smart Hospital Anatomy with Advanced Sensors: Innovations in Patient Care

Wearable Technology: Smart Watches to Google Glass for Libraries: 1 (Library Technology Essentials)