IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Fusion Physiological Sensing System for Healthcare

Fusion Physiological Sensing System for Healthcare
View Sample PDF
Author(s): Kosuke Motoi (Hirosaki University, Japan), Mitsuhiro Ogawa (Teikyo University, Japan), Takehiro Yamakoshi (Kanazawa University, Japan)and Ken-Ichi Yamakoshi (Kanazawa University, Japan)
Copyright: 2013
Pages: 16
Source title: Technological Advancements in Biomedicine for Healthcare Applications
Source Author(s)/Editor(s): Jinglong Wu (Okayama University, Japan)
DOI: 10.4018/978-1-4666-2196-1.ch031

Purchase

View Fusion Physiological Sensing System for Healthcare on the publisher's website for pricing and purchasing information.

Abstract

In the super-aging society, daily healthcare monitoring has become increasingly emphasized as a possible approach for the early diagnosis and timely treatment of lifestyle-related diseases. A wide variety of information transfers and platforms have been developed for daily healthcare monitoring. Using these techniques, the commercially available devices for home healthcare are also networked. However, techniques for obtaining physiological information are unfocused, and in such a case, even useful data cannot be obtained even if the network system is applied. Given these considerations, the authors have investigated a new network system combined with new bioinstrumentation techniques, i.e., the fusion physiological sensing system and its applicability for the daily healthcare monitoring. In particular, as contributions towards the development of healthcare technology, two promising monitoring techniques, ambulatory and non-conscious physiological monitoring, have been developed. These methods can contribute to the fields of the personal healthcare, medical care, and rehabilitation through their fusion with information and communications technology. The utility of these systems are reported according to the results of practical use, in addition to the outline of the sensing techniques in this chapter.

Related Content

Saloua Mabsor-Zgandaoui, Khawla Rachmoune, Ilham Aftais, Fatima Ezzahra Elamrani, Imade Amradi, Adil El Housseini, Youssef Ait Hamdan, Youness Zgandaoui, Abdelghani Iddar, Mohammed El Mzibri, Adnane Moutaouakkil, Aboubaker El Hessni, Abdelhalim Mesfioui. © 2026. 30 pages.
Yusuf Olatunji Waidi. © 2026. 20 pages.
Ajinkya Nene, Sorour Sadeghzade, Wenjie Yang, Prakash Somani. © 2026. 12 pages.
Seyyed Mohammad Amin Mousavi-Sagharchi, Mahdieh Ranjbar-Jamalabadi, Sama Yavari, Elina Afrazeh, Naresh Poondla, Mohsen Sheykhhasan. © 2026. 32 pages.
Wenqiang Xie, Yuan Su, Ruiqi Zhang, Sijia Li, Jia Ni, Longquan Shao. © 2026. 18 pages.
Zhengao Wang, Huiyu Zhao, Yao Han, Wuyi Zhou, Chengyun Ning. © 2026. 30 pages.
Navya Aggarwal, Shinjini Sen, Tanmay J. Urs, Shreya Gupta, Banashree Bondhopadhyay. © 2026. 36 pages.
Body Bottom