Design of a user-friendly LabVIEW-based toolbox for real-time monitoring and diagnosis of vital signals

This paper introduces a powerful LabVIEW-based toolbox for monitoring, diagnosis and management of vital biosignals [electrocardiogram (ECG) and electromyogram (EMG) ]. The main features of this software present in user-friendly graphical user interface, the patient's data management, real-time monitoring of heart and muscles activities, reviewing patient's progress through variety of charts, diagnosis of heart and muscles disorders and data transmission to remote clinician. The experimental validation of this toolbox showed that it has good performance and demonstrated a superior assurance quality in optimising clinical decisions based on real-time analysis of patient's vital signals.

[1]  Frédéric Gaillard,et al.  Stimulation, data acquisition, spikes detection and time/rate analysis with a graphical programming system: an application to vision studies , 1995, Journal of Neuroscience Methods.

[2]  F. Mohd-Yasin,et al.  Techniques of EMG signal analysis: detection, processing, classification and applications , 2006, Biological Procedures Online.

[3]  ST Segment Depression Criteria and the Prevalence of Silent Cardiac Ischemia in Hypertensives , 2003, Hypertension.

[4]  J. Cram,et al.  Introduction to Surface Electromyography , 1998 .

[5]  Willis J. Tompkins,et al.  A Real-Time QRS Detection Algorithm , 1985, IEEE Transactions on Biomedical Engineering.

[6]  J H Moore,et al.  Artificial intelligence programming with LabVIEW: genetic algorithms for instrumentation control and optimization. , 1995, Computer methods and programs in biomedicine.

[7]  S Conforto,et al.  Extraction of the envelope from surface EMG signals. , 2001, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[8]  Yasunobu Handa,et al.  A VERSATILE LABVIEW-BASED TOOLBOX DESIGN AND MAN-MACHINE INTERFACE FOR THE ELECTRICAL STIMULATION SYSTEM , 2006 .

[9]  Leo Schamroth,et al.  An introduction to electrocardiography , 1976 .

[11]  S Micera,et al.  Improving detection of muscle activation intervals. , 2001, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[12]  A. Weyman Principles and Practice of Echocardiography , 1994 .