ABSTRACT
Visual and auditory analysis of respiratory sound signals promises improved detection of certain types of lung diseases. LabVIEW software was used to design a system that monitors the respiratory activity of the patient. The program developed calculates the respiratory rate, displays the time expanded waveform of the lung sound, and computes the fast Fourier transform and short-time Fourier transform to present the power spectrum and spectrogram respectively. These parameters are transmitted synchronously to the remote station using the Internet for online monitoring of the patient.
Subject(s)
Diagnostic Techniques, Respiratory System/trends , Monitoring, Physiologic , Respiratory Sounds/diagnosis , Respiratory Tract Diseases/diagnosis , Sound Spectrography/methods , Decision Support Techniques , Fourier Analysis , Humans , Monitoring, Physiologic/methods , Monitoring, Physiologic/trends , Respiratory Rate , Respiratory Sounds/physiopathology , Respiratory System/physiopathology , Respiratory Tract Diseases/physiopathology , Software Design , Telemedicine/methods , Telemedicine/trends , User-Computer InterfaceABSTRACT
The accuracy in the online measurement of ECG parameters has a decisive role in the better diagnosis and effective treatment of the diseases. The present paper describes a Lab-VIEW based programming using Pan Tompkins method to extract out QRS complex whereas QT interval measurements were carried out using Mat-lab based math-script module. Hilbert transform has been applied on the ECG signal to convert it into an analytical signal for better peak detection. Peak detection and other parameters like RR interval, HR and several time domain measures of heart rate variability such as RR mean and standard deviations, HR mean and standard deviations, RMSSSD, NN50 count, pNN50 etc were calculated for several other clinical applications apart from online disease diagnosis.
