The adaptive notch filter approach provided better respiration rate tracking performance than the conventional periodogram approach for non-contact breathing rate estimation.
Does an adaptive IIR notch filter approach improve respiration rate tracking performance compared to a conventional periodogram approach when using a non-contact biosensor?
An adaptive IIR notch filter improves the tracking of respiration dynamics from non-contact Doppler radar biosensors compared to conventional methods.
In this paper, a non-contact method for human breathing rate estimation is discussed. The method utilises SleepMinder technology, which implements a radio-frequency Doppler radar system to capture physiological movements of the body in the form of phase modulation. To determine the breathing rate, the signals are down-converted and the baseband signals are processed. Previously reported methods used the conventional periodogram approach to estimate the breathing rate. A downside of the periodogram method is its limited capability in capturing respiration dynamics. The adaptive notch filter approach, discussed herein, provides a better respiration rate tracking performance than the periodogram approach, as demonstrated by the experimental results presented in this paper.
Ballal et al. (Sun,) conducted a other in Breathing rate estimation. Adaptive IIR notch filter approach vs. Conventional periodogram approach was evaluated on Respiration rate tracking performance. The adaptive notch filter approach provided better respiration rate tracking performance than the conventional periodogram approach for non-contact breathing rate estimation.