  With the ongoing heart problems of the population worldwide, the medical
requirements of the people are expected to increase. Electrocardiogram (ECG) is
one of the proven to capture the heart response signal to assess the electrical
and muscular functions of the heart. The ECG setup is expensive and needs
proper training, and of course, it is not instant. For fast, accurate heart
parameter monitoring, scientists pay attention to the photoplethysmogram signal
(PPG), based on the light intensity of a particular wavelength. Android
smartphone with a good quality camera has come to ordinary people's reach and
has become one of the most necessary and rugged devices for today and future
generations. We can use its powerful features to solve or assess heart state
monitoring by capturing the image's necessary data. The mobile camera has a
photo emitting diode and a photodetector. The light source illuminates the
tissue. The photodetector calculates the small variation in light intensity
associated with blood volume change in the vessels (mainly fingertips, toes,
and ears). We have captured unfocused contact video to capture PPG using an
Android Smartphone. Then, we removed a certain percent of camera touch errors
based on average pixel intensity count in the red plane, and it is a new
approach that has been introduced in this research. We used a 2nd order
Butterworth (IIR) band pass filter for noise removal, FFT Hann Window for
frequency analysis and leakage reduction. We have developed an algorithm using
MATLAB as a development platform, for accurate pulse (BPM) measurement.
Moreover, we have done a comparative analysis of developed algorithm with other
available algorithms for PPG-based pulse calculation. In this study, the
fingertip video was captured when the body was at rest
