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General Information
    • ISSN: 1793-8198
    • Frequency: Quarterly
    • DOI: 10.18178/IJMMM
    • Editor-in-Chief: Prof. K. M. Gupta, Prof. Ian McAndrew
    • Executive Editor: Ms. Cherry L. Chen
    • Abstracting/Indexing: EI (INSPEC, IET), Chemical Abstracts Services (CAS), Engineering & Technology Digital Library,  ProQuest, Crossref, Ulrich's Periodicals Directory, and Electronic Journals Library .
    • E-mail ijmmm@ejournal.net
Editor-in-chief
Prof. Ian McAndrew
Embry Riddle Aeronautical University, UK.
It is my honor to be the editor-in-chief of IJMMM. I will do my best to help develop this journal better.

IJMMM 2016 Vol.4(4): 303-309 ISSN: 1793-8198
DOI: 10.18178/ijmmm.2016.4.4.276

On Sensor Technologies in CVD Diagnosis

Winncy Du
Abstract—Major applications of sensor technologies in cardiovascular disease (CVD) diagnoses include (1) detect heart pulse waveforms, (2) measure blood properties, (3) create heart or vessel images, and (4) establish wireless CVD detecting or monitoring network. Sensors such as piezoresistive and strain gauge sensors have been used to automatize or modernize TCPD; conductive, impedance, and optical sensors have been utilized to obtain ECG, ICG, and PPG waveforms, respectively, to assess the patient’s cardiovascular status; piezoelectric sensors are used in ultrasound devices to generate a moving picture of the heart, show its size, shape, structure, and how well its valves are working; piezoelectric sensors, as well as electromagnetic and capacitive sensors can also be used to detect and record the sounds from the heart or blood flow in arteries and veins. Radiation sensors detect penetrated X-ray to create CCT images; inductive sensors (coils) can pick up 10-100MHz radio waves released from soft tissues after their H-atoms’ magnetic resonance and create a cardiac MRI.

Index Terms—Cardiovascular disease, diagnosis, sensor, transducer.

Winncy Du is with the Mechanical Engineering Department, San Jose State University, San Jose, CA 95192 USA (e-mail: winncy.du@sjsu.edu).

[PDF]

Cite: Winncy Du, "On Sensor Technologies in CVD Diagnosis," International Journal of Materials, Mechanics and Manufacturing vol. 4, no. 4, pp. 303-309, 2016.

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