Method for intelligently detecting physiological indexes of a human body and nursing equipment

Abstract

The embodiment of the invention relates to the technical field of nursing equipment, and discloses a method for intelligently detecting physiological indexes of a human body and nursing equipment. Themethod comprises the steps: obtaining a head signal selection box and a thoracic cavity signal selection box in a video at a certain specified time period; respectively calculating all frame signal values of a first video and all frame signal values of a second video corresponding to the frame signal values; sorting all frame signal values of the first video and all frame signal values of the second video from small to large to obtain a first N-dimensional information sequence and a second N-dimensional information sequence; calculating amplitude frequencies corresponding to the first N-dimensional information sequence and the second N-dimensional information sequence to determine a heart rate signal-to-noise ratio and a respiratory rate signal-to-noise ratio; respectively detecting whether the heart rate signal-to-noise ratio and the respiratory rate signal-to-noise ratio are greater than a first specified threshold value and a second specified threshold value or not; and if yes, determining an effective heart rate measurement value and an effective respiratory rate measurement value. By implementing the embodiment of the invention, the heart rate and respiratory rate of the human body in the scene can be detected in real time, and the human health condition is safely monitored.

Description

technical field [0001] The invention relates to the technical field of nursing equipment, in particular to a method for intelligently detecting physiological indicators of a human body and nursing equipment. Background technique [0002] At present, it is very common for existing nursing equipment to detect human physiological indicators (such as heart rate and respiration rate) by using camera images to realize intelligent nursing technology. However, it is found in practice that most of the existing nursing equipment will There are the following technical defects: (1), the calculation is complex and the amount of calculation is large, and it is not suitable for application in embedded devices; (2), face recognition technology is required; (3) when heart rate is measured, some ROI (signal area) selection requirements or high, such as the forehead, cheeks and other areas, it is difficult to achieve in the real scene, especially when the human body is far away; while some sel...

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Problems solved by technology

[0002] At present, it is very common for existing nursing equipment to detect human physiological indicators (such as heart rate and respiration rate) by using camera images to realize intelligent nursing technology. However, it is found in practice that most of the existing nursing equipment will There are the following technical defects: (1), the calculation is complex and the amount of calculation is large, and it is not suitable for application in embedded devices; (2), face recognition technology is required; (3) when heart rate is measured, some ROI (signal area) selection requirements or high, such as the forehead, cheeks and other areas, it is difficult to achieve in the real scene, especially when the human body is far away; while some selection requirements are low, the whole face is framed, there is no refined selection point, and it contains a lot of non-signals (4) When measuring the respiratory signal, most of the points are not finely selected, so that many pixels with weak respiratory signal or even no signal are framed together, resulting in a decrease in the signal-to-noise ratio; ( 5) There are not many patented technologies for effective measurement of respiration rate. When some respiration signals are measured, all pixel signals in the ROI are processed for signal processing, and the processing capacity is large.

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