Gait and Reflex Response Quantification LeMoyne, Robert. creator author. aut http://id.loc.gov/vocabulary/relators/aut Mastroianni, Timothy. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text si 2024 2nd ed. 2024. monographic eng

electronic

electronic resource

access XVI, 200 p. 73 illus., 20 illus. in color. online resource. This book is the second edition of the one originally published in 2017. The original publication features the discovery of numerous novel applications for the use of smartphones and portable media devices for the quantification of gait, reflex response, and an assortment of other concepts that constitute first-in-the-world applications for these devices. Since the first edition, numerous evolutions involving the domain of wearable and wireless systems for healthcare have transpired warranting the publication of the second edition. This volume covers wearable and wireless systems for healthcare that are far more oriented to the unique requirements of the biomedical domain. The paradigm-shifting new wearables have been successfully applied to gait analysis, homebound therapy, and quantifiable exercise. Additionally, the confluence of wearable and wireless systems for healthcare with deep learning and neuromorphic applications for classification is addressed. The authors expect that these significant developments make this book valuable for all readers. Wearable and wireless systems for gait analysis and reflex quantification -- Traditional clinical evaluation of gait and reflex response by ordinal scale -- Quantification systems appropriate for a clinical setting -- The rise of inertial measurement units -- Portable wearable and wireless systems for gait and reflex response quantification -- Smartphones and portable media devices as wearable and wireless systems for gait and reflex response quantification -- Bluetooth inertial sensors for gait and reflex response quantification with perspectives regarding Cloud Computing and the Internet of Things -- Quantifying the spatial position representation of gait through sensor fusion -- Role of machine learning for gait and reflex response classification -- Homebound therapy with wearable and wireless systems -- Future perspective of Network Centric Therapy -- Evolutions for Wearable and Wireless Systems -- Gait Analysis with Advanced Wearable and Wireless Systems -- New Developments in Homebound Therapy Enabled Through Wearable and Wireless Systems -- New Quantifiable Exercise with Wearable and Wireless Systems -- Deep Learning and Neuromorphic Applications for Classifying Health Status Using Wearable and Wireless Systems -- Future Perspectives for Wearable and Wireless Systems for Healthcare. by Robert LeMoyne, Timothy Mastroianni. Telecommunication Physical therapy Human physiology Application software Communications Engineering, Networks Physiotherapy Human Physiology Computer and Information Systems Applications TK5101-5105.9 9789819724390 https://doi.org/10.1007/978-981-97-2439-0 https://doi.org/10.1007/978-981-97-2439-0 240618 20251030112318.0 978-981-97-2439-0