Cover image for Enabling Person-Centric Healthcare Using Ambient Assistive Technology Personalized and Patient-Centric Healthcare Services in AAT
Title:
Enabling Person-Centric Healthcare Using Ambient Assistive Technology Personalized and Patient-Centric Healthcare Services in AAT
Author:
Barsocchi, Paolo. editor. (orcid)0000-0002-6862-7593
ISBN:
9783031382819
Edition:
1st ed. 2023.
Physical Description:
XII, 317 p. 113 illus., 87 illus. in color. online resource.
Series:
Studies in Computational Intelligence, 1108
Contents:
Sensor Datasets for Human Daily Safety and Well-being -- Habitpad: A Habit-Change Person-Centric Healthcare Mobile Application with Machine Leaning and Gamification Features for Obesity -- Human centered Mathematics: a framework for medical applications based on Extended Reality and Artificial Intelligence -- Attentive Vision-Based Model for Sarcopenia Screening by Automating Timed Up-and-Go (TUG) Test -- AAL with Deep Learning to classify the Diseases remotely from the image data -- Heart Failure Prediction Using Radial Basis with Metaheuristic Optimization -- Healthcare Management And Prediction Of Future Illness Through Autonomous Intelligent Advisory System Using Aat Computational Framework -- ResNet-50-CNN and LSTM based Arrhythmia detection model based on ECG dataset -- A Review of Brain-Computer Interface (BCI) System: Advancement and Applications -- Optimized TSA ResNet architecture with TSH -discriminatory features for kidney stone classification from QUS Images -- Ambient Healthcare: A new Paradigm in Medical Zone -- Illuminating Unexplored Corners in Healthcare Space using Ambience Intelligence -- Depression Assessment in Youths using an Enhanced Deep Learning Approach -- Telemedicine Enabled Remote Digital Healthcare System.
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