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IoT Technologies for HealthCare de Susanna Spinsante

IoT Technologies for HealthCare: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, cartea 456

Editat de Susanna Spinsante, Grazia Iadarola, Alessia Paglialonga, Federico Tramarin
en Limba Engleză Paperback – 16 mar 2023
This book constitutes the refereed proceedings of the 9th EAI International Conference on IoT Technologies for HealthCare, HealthyIoT 2022, which was held in Braga, Portugal, in November 2022.

The 11 full papers and 2 invited papers presented in this volume were carefully reviewed and selected from 37 submissions. The papers are organized in the following topical sections: Analysis of Measurement Data in IoT Technologies for Health; and IoT Applications in Research and Clinical Practice.
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Specificații

ISBN-13: 9783031286629
ISBN-10: 3031286626
Pagini: 196
Ilustrații: XII, 184 p. 89 illus., 56 illus. in color.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.31 kg
Ediția:1st edition 2023
Editura: Springer
Colecția Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Seria Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Locul publicării:Cham, Switzerland

Cuprins

Analysis of Measurement Data in IoT Technologies for Health.- Automatic Wardrobe for Blind People.- Heart Rate evaluation by Smartphone: an overview.- A Low-Cost Open-Source Bionic Hand Controller: Preliminary Results and Perspectives.- Preliminary Study on Gender Identification by Electrocardiography Data.- Exploiting Blood Volume Pulse and Skin Conductance for Driver Drowsiness Detection.- Skin Conductance under acoustic stimulation: analysis by a portable device.- IoT Applications in Research and Clinical Practice.- Multivariate Classification of Mild and Moderate Hearing Loss Using a Speech-in-Noise Test for Hearing Screening at a Distance.- A Preliminary Prototype of Smart Healthcare Modular System for Cardiovascular Diseases Remote Monitoring.- Gender classification using nonstandard ECG signals - A conceptual framework of implementation.- Designing a soft-actuated smart garment for postural control and fall prevention in elderly women.- Cultivate Smart and HealthyAgeing.- Application of KNN for Fall Detection on Qualcomm SoCs.- Assessment of human activity classification algorithms for IoT devices.