A QRS detection method using analog wavelet transform in ECG analysis

Low power implementable devices like the pacemaker need good sensing circuits to correctly analyze the cardiac signal and take appropriate actions. Existing methods are reaching their limits on sensing abilities. An approximation of the wavelet transform (WT), that can be implemented in an analog dynamic translinear circuit, can be used to further the advances of cardiac signal sensing and lead to better pacemakers. A method is presented for automatic QRS complex detection in an ECG signal for use with an analog implementation of the wavelet transform. By using the modulus maxima in the WT and the time differences between them, QRS complex detection rates are up to 98% on the MIT/BIH database.