Mobile wearable nano-bio health monitoring systems with smartphones as base stations / Vijay K. Varadan and Linfeng Chen.

Author/creator Varadan, V. K., 1943-
Other author Chen, L. F. (Lin Feng), 1968-
Format Electronic
Publication InfoNew York, N.Y. : ASME ; New York, N.Y. (222 East 46th Street, New York, NY 10017) : Momentum Press, 2012.
Description1 electronic text (viii, 66 pages) : illustrations, digital file.
Supplemental ContentClick to View
Subjects

SeriesBiomedical and nanomedical technologies
Biomedical & nanomedical technologies. ^A1177241
Contents Series editor's preface -- Preface -- Author biographies --
Contents 1. Introduction -- 1.1 Evolution of health monitoring -- 1.2 Architecture of a mobile health monitoring system -- 1.3 Smartphones for healthcare applications -- 1.4 Smart textile based wearable health monitoring systems --
Contents 2. Nano-bio sensors for health monitoring -- 2.1 Physiological signals for health monitoring -- 2.2 Bioelectric sensors based on carbon nanotubes -- 2.3 Bioelectric sensors based on metal nanowires -- 2.4 Cuffless blood pressure sensors --
Contents 3. Telecommunication and information technologies for mobile health monitoring systems -- 3.1 Introduction -- 3.2 Wireless transmitter unit -- 3.3 Wireless receiver unit -- 3.4 Smartphone -- 3.5 e-Nanoflex --
Contents 4. Smart textile based wearable health monitoring systems -- 4.1 Smart textiles -- 4.2 Printable electronics -- 4.3 Textile sensor technology -- 4.4 Roll-to-roll fabrication techniques --
Contents 5. Case studies -- 5.1 Cardiac health monitoring -- 5.2 e-bra for ECG measurement for women -- 5.3 Smart vest for ECG and blood pressure measurement for men -- 5.4 Diagnosis of sleep apnea --
Contents 6. Perspectives and technical challenges -- 6.1 Transformation of healthcare practice -- 6.2 Technical challenges -- References.
Summary This monograph discusses the development and application of mobile wearable nano-bio health monitoring systems for telemedicine. In such a system, nanomaterials-based biosensors are used to measure physiological signals, such as electrocardiogram (ECG), electroencephalogram (EEG), electromyogram (EMG), and electrooculogram (EOG). The obtained physiological signals are filtered, amplified and transmitted to a remote storage server, utilizing Smartphones as base stations. Cloud computing resources are used for complex computations, such as feature extraction and automatic diagnosis. The information in the remote storage server can be instantly accessed by healthcare providers, and medical advice can also be sent instantly to the patient through the wireless communication system.
General note"ASME Order No. 860069."
Bibliography noteIncludes bibliographical references (p. 62-66).
Access restrictionRestricted to libraries which purchase an unrestricted PDF download via an IP.
Other formsAlso available in print.
Reproduction noteElectronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Technical detailsMode of access: World Wide Web.
Technical detailsSystem requirements: Adobe Acrobat reader.
Source of descriptionTitle from PDF t.p. (viewed on October 27, 2012).
Issued in other formPrint version: 9780791860069
Genre/formElectronic books.
ISBN9781606504147 (electronic bk.)