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CN-121129224-B - Non-contact heart rate respiration recorder

CN121129224BCN 121129224 BCN121129224 BCN 121129224BCN-121129224-B

Abstract

The invention relates to the field of respiratory heart rate monitoring and discloses a non-contact type heart rate and respiratory recorder which comprises a host, a wireless charging base, a charging cable and terminal equipment, wherein a non-contact type sensor module, a processor, a battery and a wireless communication module are arranged in the host, and a waterproof sealing structure is adopted for a shell. When the heart rate and respiration rate measuring device is used, the host computer is placed under a pillow, the signals of the heart and respiration channels are collected through the non-contact sensor, after filtering, normalization and artifact removal, the heart rate and the respiration rate are respectively formed under the parameters of sampling rate, time window length, vertical offset, coupling rigidity and the like, and are jointly optimized under spectrum matching and cross-modal coherence constraint, and finally the heart rate and the respiration rate are output. The device does not need to wear electrodes, is stable in detection, and is suitable for long-term family health monitoring and clinical assistance.

Inventors

  • MA CHUNYUAN
  • MA ZHUJUN
  • QU HONG

Assignees

  • 天津福瑞兴健康科技有限公司

Dates

Publication Date
20260508
Application Date
20250918

Claims (7)

  1. 1. A non-contact heart rate respiration recorder, comprising: The system comprises a host (1), wherein a non-contact sensor module (5), a microprocessor, a memory and a wireless communication module are arranged in the host; the wireless charging base (2) is used for wirelessly charging the host; A power module comprising a battery (6) for providing energy to the host; The shell is coated with the host by adopting a waterproof sealing structure, and the protection grade reaches IP68; The non-contact sensor module (5) comprises a low-frequency acoustic wave piezoelectric sensor and a BCG heart pulse detection unit and is used for collecting heart rate signals and respiratory signals of a human body; The microprocessor is configured with a time-frequency domain joint algorithm and is used for carrying out feature extraction and data processing on signals acquired by the sensor module; The wireless communication module is a low-power consumption Bluetooth module and is used for transmitting the processed monitoring data to the external terminal equipment (4); The terminal equipment (4) is operated with data management software for receiving and displaying the heart rate and respiratory rate data; the non-contact sensor module (5) is configured to: s1, acquiring a cardiac channel signal and a respiratory channel signal of a suboccipital position at a sampling rate; s2, carrying out band-pass filtering and normalization on the signals to obtain a cardiac candidate component and a respiratory candidate component; S3, artifact removal and robust segmentation are carried out within the time window length; S4, under the sampling rate, the time window length and the vertical bias parameters, carrying out correlation fusion on the cardiac candidate component and the respiratory candidate component to obtain a cardiac observed quantity; S5, stabilizing and normalizing amplitude of the respiratory candidate component under the parameters of the sampling rate, the time window length and the coupling rigidity to obtain respiratory observance; S6, taking the cardiac observance and the respiratory observance as input, carrying out joint optimization based on spectrum matching and cross-modal coherent constraint, and outputting heart rate and respiratory rate.
  2. 2. The non-contact heart rate respiration recorder of claim 1, wherein step S4 comprises performing a de-averaging and normalization process on the cardiac candidate component and the respiratory candidate component within the time window length, calculating a correlation by using a sliding window, and performing a fine localization on the correlation peak.
  3. 3. A non-contact heart rate respiration recorder according to claim 2, characterized in that the cardiac observance amounts satisfy the following relation: ; Wherein: X (t) is the observed cardiac motion; b bcg (t) is the filtering normalization result of the cardiac channel signal; b ac (t) is a respiratory channel signal filtering normalization result; τ is a delay variable; τ 0 is the allowable maximum delay range; Δz is a vertical offset parameter; alpha is the attenuation coefficient; Is an inner product operation; Is the signal energy norm.
  4. 4. A non-contact heart rate respiration recorder as claimed in claim 3, characterized in that step S5 comprises performing envelope extraction on the respiration candidate components and performing low-pass filtering and amplitude normalization within the time window length to obtain a respiration observance.
  5. 5. The non-contact heart rate respiration recorder of claim 4, wherein the respiration observed quantity Y satisfies the following relationship: ; Wherein: Y (t) is the respiration observed quantity; h lp (t;T ) To be of a length of time T A low pass filter of a scale; * Is convolution operation; is a Hilbert transform; k is a coupling stiffness parameter.
  6. 6. The non-contact heart rate and respiration recorder of claim 5, wherein step S6 comprises iteratively optimizing the heart rate candidates by taking the main peak of the spectrum of the cardiac observables as heart rate candidates and the main peak of the spectrum of the respiration observables as respiration rate candidates under the condition of meeting the cross-modal coherence threshold and applying a time-series smoothing constraint between consecutive time windows.
  7. 7. The non-contact heart rate respiration recorder of claim 6, wherein the optimization satisfies the following objective function: J(HR,RR)=w 1 D(PSD(X),HR)+w 2 D(PSD(Y),RR)+w 3 (1 Coh(X,Y;RR)); Wherein, the J (HR, RR) is an objective function; w 1 ,w 2 ,w 3 is a positive weight coefficient; is a spectral difference measure; Is the power spectral density; X is cardiac observance; Y is the respiration observed quantity; coh (X, Y; RR) is the degree of coherence calculated at the respiratory rate RR.

Description

Non-contact heart rate respiration recorder Technical Field The invention relates to the field of respiratory heart rate monitoring, in particular to a non-contact type heart rate and respiratory recorder. Background In recent years, non-contact heart rate and respiration monitoring technology has become a research hotspot. Compared with the traditional electrode patch or chest strap type contact monitoring mode, the non-contact monitoring can realize the collection of cardiac and respiratory signals by using an under-pillow sensor, a mattress sensor or radar, an acoustic sensor and the like under the condition of not increasing the wearing burden, so that the system is more suitable for long-term continuous family health management and sleep monitoring. Existing non-contact heart rate and respiration monitoring devices typically employ single channel detection, such as signal acquisition and analysis based on BCG channels alone or acoustic channels alone. Such methods often rely on fixed sampling rates and empirical filtering parameters, and cannot account for diversity in different individuals and environments. In actual use, if the sampling rate is insufficient, the time-frequency resolution of the cardiac and respiratory signals is reduced, which is easy to cause inaccurate peak detection, and if the sampling rate is too high, the power consumption is increased, and the equipment endurance is affected. Meanwhile, the fixed analysis time window cannot achieve both stability and sensitivity, the short window is easily interfered by transient noise, and the long window causes response lag. These problems make it difficult for the prior art to achieve both stability and real-time performance in different scenarios. Existing under-pillow or non-contact monitoring schemes do not adequately account for the spatial position differences between the user and the sensor. Because of the different pillow core thickness and the head placement position, the vertical offset between the sensor and the head may vary from a few millimeters to a few centimeters. The traditional scheme has the advantages that the sensor is closely attached or fixed in distance, modeling and compensation are not carried out on the parameter, so that the signal amplitude attenuation is serious, and the applicability across individuals or scenes is poor. In addition, the difference of different pillow core materials and structures in acoustic or mechanical transfer characteristics is obvious, the existing method does not usually introduce mechanical coupling parameters to correct signal drift, and as a result, respiratory wave baselines are easy to deviate unstably, respiratory main peaks are unclear, and therefore accuracy of respiratory rate estimation is affected. Most of the existing non-contact monitoring is used for detecting heart rate and respiratory rate respectively and independently, and lack of consistency constraint of cross modes leads to frequent jump or false locking of a single channel result when body movement is disturbed or signals are deteriorated. In this case, the heart rate and respiration rate estimation lacks a mechanism of cross-correlation, and it is difficult to ensure the stability of the overall output. In addition, most of the prior art adopts a simple threshold value or a single spectral peak selection method, and a combined optimization objective function is not introduced on a mathematical framework to simultaneously restrict the spectral matching and cross-modal coherence relationship of the heart and the respiration, so that stable convergence is often not realized in a complex environment, and the monitoring reliability is affected. Disclosure of Invention The invention aims to provide a non-contact heart rate respiration recorder so as to solve the technical problems in the background technology. Based on the thought, the invention provides the following technical scheme: A non-contact heart rate respiration recorder comprising: The host is internally provided with a non-contact sensor module, a microprocessor, a memory and a wireless communication module; The wireless charging base is used for wirelessly charging the host; A power module including a battery to provide energy for the host; The shell is coated with the host by adopting a waterproof sealing structure, and the protection grade reaches IP68; The non-contact sensor module comprises a low-frequency acoustic wave piezoelectric sensor and a BCG heart pulse detection unit and is used for collecting heart rate signals and respiratory signals of a human body; The microprocessor is configured with a time-frequency domain joint algorithm and is used for carrying out feature extraction and data processing on signals acquired by the sensor module; the wireless communication module is a low-power consumption Bluetooth module and is used for transmitting the processed monitoring data to external terminal equipment; the terminal equipment is operated with