Abstract: A method for detecting a particular syndrome based on hemodynamic analysis that includes steps of: obtaining a piece of hemodynamic data representing a hemodynamic waveform; performing moving average (MA) filtering on the hemodynamic waveform to obtain a filtered waveform; determining troughs in order to determine waveform segments of the filtered waveform; determining smoothness of the waveform segments; and determining a relation between the hemodynamic waveform and a particular syndrome based on the smoothness of the waveform segments, and generating a detection result.

Abstract: A method for detecting a particular syndrome based on hemodynamic analysis that includes steps of: obtaining a piece of hemodynamic data representing a hemodynamic waveform; performing moving average (MA) filtering on the hemodynamic waveform to obtain a filtered waveform; determining troughs in order to determine waveform segments of the filtered waveform; determining systolic peaks for determining first and second portions of the waveform segments; determining smoothness of the second portions; and determining a relation between the hemodynamic waveform and a particular syndrome based on the smoothness of the second portions, and generating a detection result.

Abstract: A method for detecting a location of a segment of a feeding tube is provided. The feeding tube has a proximal end, a hollow tube body and a distal end, and is placed inside the body of a patient. An audio collecting component is placed on a predetermined part of the patient. The method includes steps of pumping air into the proximal end of the feeding tube, collecting sound to obtain audio data by the audio collecting component, performing audio analysis on the audio data, and determining whether a segment of the hollow tube body is at a part inside the body of the patient that corresponds with the location of the audio collecting component based on result of the audio analysis.