Radar-based sleep characteristic event detection method, device and storage medium

A technology for event detection and sleep quality, applied in the field of sleep monitoring, can solve problems such as triangle error, high computational complexity, and performance degradation

Active Publication Date: 2020-01-17
SHENZHEN UNIV
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Problems solved by technology

Among them, when using a camera as a sleep monitoring sensor, its computational complexity is high, and it is easy to violate personal privacy; the non-contact capacitive sensor is not effective when it is 50mm aw

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  • Radar-based sleep characteristic event detection method, device and storage medium
  • Radar-based sleep characteristic event detection method, device and storage medium
  • Radar-based sleep characteristic event detection method, device and storage medium

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Embodiment Construction

[0066] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0067] Please see figure 1 , the present invention provides a radar-based sleep feature event detection method, the radar-based sleep feature event detection method comprising the following steps:

[0068] Step S10: transmit waveforms to sleepers within the detection range through the radar and receive target echo signals, and establish an echo signal model;

[0069] Specifically, the signal emitted by the radar is reflected back after hitting the surrounding objects, and is received by the radar receiver. As shown in the following formula (10), the RF (radio frequency) echo model can be described as:

[0070]

[0071] in and Denote the human clutter and receiver thermal noise components, respectively. Since the considered radar is of high resolution, we assume that the target is an extended target model comp...

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Abstract

The invention discloses a radar-based sleep characteristic event detection method, device and a storage medium. The method comprises the steps as follows: S10, transmitting waveform to a sleeper in adetection range of radar and receiving a target echo signal by radar, establishing an echo signal model; and S20, preprocessing the received echo signal to obtain a restrained echo signal. The radar-based sleep characteristic event detection method fits distribution of power burst curves of sleep events and sleep characteristic events by matlab by analyzing power burst curve distribution of the sleep events and sleep characteristic events, judges whether distribution of P(Z|H1) and P(Z|H10) obeys lognormal normal distribution, and then detects numerical values of power burst curves by an adaptive logarithm double-threshold constant false-alarm detector; and the technical scheme can determine that power burst curve characteristics conform to normal distribution after taking logarithm valuesand accordingly, designs the adaptive logarithm double-threshold constant false-alarm detector to detect sleep characteristic events.

Description

technical field [0001] The present invention relates to the technical field of sleep monitoring, in particular to a radar-based sleep characteristic event detection method, device and storage medium. Background technique [0002] As people pay more attention to health issues, more and more medical testing equipment are more miniaturized and portable. However, the most important sleep quality monitoring equipment is mainly dominated by the use of photoplethysmography (Photoplethysmography) medical technology; according to medical research, the quality of human sleep is related to the degree of human health, and the quality of sleep is related to the degree of human health during sleep. The number of characteristic events (turning over, getting out of bed and going to bed after leaving the bed) has a certain relationship, so how to detect the characteristic events of human sleep has become a more important thing in sleep monitoring. [0003] Nowadays, the devices that can mon...

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Application Information

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IPC IPC(8): A61B5/00G01S7/41G01S13/88
CPCA61B5/4809G01S13/88G01S7/41
Inventor 阳召成程一歌洪栋材陈炯彰王威
Owner SHENZHEN UNIV
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