Abstract: Apparatuses, systems, and techniques to facilitate Fifth Generation New Radio (5G-NR) network communication. In at least one embodiment, communication in a 5G-NR network between Layer 2 and Layer 1 components is performed by a uniform interface to facilitate accelerated 5G-NR network processing using one or more parallel processing units, according to various novel techniques described herein.

Abstract: A subject's heart rate is determined. A heart rate monitor receives a Doppler signal reflected from an artery of a target, performs demodulation and heart beat recognition techniques to determine a set of features in each frame of the signal. Pattern classification is performed to determine if the extracted feature sequence is associated with heart beats. The pattern classification may include finding the optimal state sequence by calculating the probability of each allowable state sequence based on the extracted feature sequence and heart beat models or additional noise models. Or, a heart beat candidate is determined using frame energy and dynamic thresholding followed by computing the probabilities between the feature sequence and each stored heart beat model or additional noise models. Or, heart beat candidates are determined using frame energy and dynamic thresholding which compute the similarity between the feature sequences and each of the stored heart beat templates.

Abstract: A subject's heart rate is determined by recognizing heart beat patterns in a heart beat signal. A heart rate monitor receives a Doppler signal reflected from an artery of a target, performs demodulation and heart beat recognition techniques on the received signal to determine a set or sequence of features in each frame of the signal. Once a feature sequence is extracted from the signal, pattern classification is performed to determine if the extracted feature sequence is associated with one or more heart beats. The pattern classification may include finding the optimal state sequence by calculating the probability of each allowable state sequence based on the extracted feature sequence and heart beat models or additional noise models. Another pattern classification technique may determine a heart beat candidate using frame energy and dynamic thresholding methods followed by computing the probabilities between the feature sequence and each stored heart beat model or additional noise models.