Abstract: The present application relates to a control system and a method for controlling a passenger conveying apparatus, and a computer-readable storage medium for implementing the method. A control apparatus for a passenger conveying apparatus according to an aspect of the present application comprises: a processor; a memory coupled with the processor; a communication module coupled with the processor; and a computer program stored on the memory and running on the processor, the running of the computer program causes: in response to an internal control command of the control apparatus or an external control command outside the control apparatus, determining whether there is a passenger boarding signal in the passenger conveying apparatus within a specified time interval, wherein the internal control command and the external control command comprise commands for starting or stopping the passenger conveying apparatus; and manipulating the passenger conveying apparatus based on the determining.

Abstract: A system for identifying arrhythmias based on cardiac waveforms includes a storage system storing a trained deep neural network system, wherein the trained deep neural system includes a trained representation neural network and a trained classifier neural network. A processing system is communicatively connected to the storage system and configured to receive cardiac waveform data for a patient, identify a time segment in the cardiac waveform data, and transform the time segment into a spectrum image. The processing system is further configured to generate, with the representation neural network, a latent representation from the spectrum image, and then to generate, with the classifier neural network, an arrhythmia classifier from the latent representation.

Abstract: A system for identifying arrhythmias based on cardiac waveforms includes a storage system storing a trained deep neural network system, wherein the trained deep neural system includes a trained representation neural network and a trained classifier neural network. A processing system is communicatively connected to the storage system and configured to receive cardiac waveform data for a patient, identify a time segment in the cardiac waveform data, and transform the time segment into a spectrum image. The processing system is further configured to generate, with the representation neural network, a latent representation from the spectrum image, and then to generate, with the classifier neural network, an arrhythmia classifier from the latent representation.