Improving the Quality of Life for Dementia Patients through Progressive Detection, Treatment, and Care

Improving the Quality of Life for Dementia Patients through Progressive Detection, Treatment, and Care

Jinglong Wu (Okayama University, Japan)
Indexed In: SCOPUS
Release Date: October, 2016|Copyright: © 2017 |Pages: 353
ISBN13: 9781522509257|ISBN10: 1522509259|EISBN13: 9781522509264|DOI: 10.4018/978-1-5225-0925-7

Description

The prominence of dementia within the global aging population has undergone an increase in recent years. To improve the living conditions of patients, researchers must place more emphasis on early detection methods.

Improving the Quality of Life for Dementia Patients through Progressive Detection, Treatment, and Care provides a thorough overview of emerging research on various neuroscience methods for the early diagnosis of dementia and focuses on the improvement of healthcare delivery to patients. Highlighting relevant issues on health information systems, behavioral indicators, and treatment methods, this book is a pivotal reference source for health professionals, neuroscientists, upper-level students, practitioners, and researchers interested in the latest developments within the field of dementia treatment.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Alzheimer’s Disease
  • Cognitive Training
  • Emotional Stability
  • Human-Computer Interaction
  • Nutritional Status
  • Stimulation Devices
  • Unobtrusive vs. Obtrusive Detection

Reviews and Testimonials

This volume contains 14 articles by engineers, physicians, health professionals, neuroscientists, and informatics and computer scientists from Asia and Europe, who discuss ways to improve the quality of life of dementia patients through detection, treatment, and care. They address early diagnosis and detection, environmental landscape design, nutrition, the role of bilingualism in delaying dementia, tactile stimulation devices, training tasks to enhance cognitive functions, and understanding the cognitive and neural mechanisms in interactions between touch and emotion, as well as research on the effects of visual contrast on inverse effectiveness in audiovisual integration, intention recognition in human-computer interaction, time cognition, the visual system, and humanoid robots and mind control humanoid robots.

– Protoview Reviews

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Jinglong Wu was born in Jiutai, China, on August 4, 1958. He received the B.S. degree from Jilin Vocational Teachers College, China, the M.S. degree from Kyoto University, Japan, both in electric engineering, in 1984 and 1991, respectively, and the doctorate in electric engineering from Kyoto University, Japan, in 1994. He was an Assistant Professor at Ritsumeikan University, Japan, from April 1994 to March 1997, a Lectuer in Department of Mechanical Engineering, Faculty of Engineering, Yamaguchi University from April 1997 to March 1999. Since April 1999, he is Professor in the Department of Intelligent Mechanical Systems, Faculty of Engineering, Kagawa University. His current research interests are virtual reality, ergonomics, cognitive neuroscience and human science. Dr.Wu received the Best Paper Award of IEEE Joint International Conference on Neural Network in 1993 and the SICE Best Paper Award in 2000. In 2003 he received the Gennai Grand Prize, Ozaki Foundation, Japan.

Indices