FIR Filter Design in MATLAB |Digital Signal Processing 1/9

Conversion from Integers to ECG in mV| ECG Spectrum #FIRFilterDesigninMATLAB Task: Display the original ECG in mV against milliseconds. Show the whole recording and one heartbeat to identify the so called PQRST waves (see Figure 1). The amplifier before the ADC has a gain of 200; the A/D converter has a 24-bit resolution and has an input range from −1.325V to +1.325V, with the sampling rate of 1KHz (see Figure 2). Develop your own formula to convert the data from integers into ECG in mV. Do NOT use any pre-defined MATLAB functions to convert it. Plot also the frequency spectrum (no mirror) of the ECG. Identify what is signal and what is noise, in both the time and frequency domains. In particular, identify the unwanted 50Hz pollution and the DC drift of the ECG. Label your figures properly (time in milliseconds, frequency in Hz, and amplitude in mV). #MATLABCODING #Quantizationequation #frequencyspectrumoftheECG convert integers to ECG in mV #ecg