Robust PPG motion artifact detection using a 1-D convolution neural network

•This paper have succeeded in developing a one-D convolution neural network (1-D-CNN) for the detection of artifact-free segments of PPG signals.•This paper eliminated the requirement of data-dependent pulse segmentation step.•This paper is robust to variations in the PPG morphological waveforms within individual subjects due to motion or environmental changes.