CN115211812A - Co-sleep snore identification method and system based on snore and respiratory sound characteristic comparison - Google Patents
Co-sleep snore identification method and system based on snore and respiratory sound characteristic comparisonDownload PDFInfo
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Abstract
Translated fromChinese
Description
Translated fromChinese技术领域technical field
本发明涉及止鼾技术领域，特别是涉及一种基于鼾声和呼吸声特征比对的共眠鼾声识别方法及系统。The invention relates to the technical field of anti-snoring, in particular to a method and system for recognizing co-sleeping snoring sounds based on the comparison of snoring sounds and breathing sounds.
背景技术Background technique
在常规方法中，仅仅采集入睡者所发出的声音，通过特定程序算法分析、识别以及判定鼾声，从而采取相应的改善干预动作。In the conventional method, only the sound emitted by the person falling asleep is collected, and the snoring sound is analyzed, recognized and determined through a specific program algorithm, so as to take corresponding improvement and intervention actions.
然而在日常生活中，大多数不是一个人单独入睡的，如恩爱的夫妻或是甜蜜的情侣。在这种氛围中，声音采集系统会采集到枕边另一个人的声音信息，从而会干扰鼾声识别系统收集声源，致使鼾声识别系统所收集的声源不具有纯正性，也影响鼾声判定的准确性。However, in daily life, most of them do not sleep alone, such as loving couples or sweet couples. In this atmosphere, the sound collection system will collect the sound information of another person beside the pillow, which will interfere with the sound source collected by the snore recognition system, so that the sound source collected by the snore recognition system is not pure, and it will also affect the determination of snore sound. accuracy.
发明内容SUMMARY OF THE INVENTION
鉴于以上所述现有技术的缺点，本发明要解决的技术问题在于提供一种基于鼾声和呼吸声特征比对的共眠鼾声识别方法及系统，在不知鼾声或类似鼾声的声音由谁发出的情形下能够完全排除对被监测者进行鼾声监测的干扰因素，准确判断被监测者是否发生打鼾行为并且及时干预，从而提高被监测者的睡眠质量。In view of the above-mentioned shortcomings of the prior art, the technical problem to be solved by the present invention is to provide a method and system for co-sleeping snoring recognition based on the feature comparison of snoring and breathing sounds. Under the circumstance, the interference factors of monitoring the snoring sound of the monitored person can be completely eliminated, and whether the monitored person has snoring behavior can be accurately judged and timely intervened, thereby improving the sleep quality of the monitored person.
为了解决上述技术问题，本发明提供一种基于鼾声和呼吸声特征比对的共眠鼾声识别方法，包括以下步骤：In order to solve the above-mentioned technical problems, the present invention provides a co-sleeping snoring sound recognition method based on snoring and breathing sound feature comparison, comprising the following steps:
采集所处睡眠环境中的所有声音并且过滤提取鼾声信息，同时采集被监测者的呼吸信息；Collect all sounds in the sleeping environment, filter and extract snoring information, and collect the breathing information of the monitored person;
将鼾声信息转化为关于打鼾时间和打鼾频率的打鼾关系数据，并且将呼吸信息转化为关于呼吸时间和呼吸频率的呼吸关系数据；Convert snoring sound information into snoring relationship data about snoring time and snoring frequency, and convert breathing information into breathing relationship data about breathing time and breathing frequency;
从打鼾关系数据提取所有打鼾停止时间点，从呼吸关系数据提取所有呼气结束时间点和所有吸气结束时间点，在时间维度上对打鼾停止时间点、呼气结束时间点以及吸气结束时间点进行交叉比对；Extract all snoring stop time points from the snoring relationship data, extract all expiratory end time points and all inspiratory end time points from the respiratory relationship data, and compare the snoring stop time points, expiratory end time points, and inspiratory end time points in the time dimension. point for cross-comparison;
若打鼾停止时间点分别与呼气结束时间点和吸气结束时间点重合，则判断被监测者发生打鼾并且对被监测者进行止鼾干预，否则判断被监测者未打鼾。If the stop time point of snoring coincides with the end time point of exhalation and the end time point of inhalation, it is determined that the monitored person snores and the monitored person is intervened to stop snoring; otherwise, it is determined that the monitored person does not snore.
优选地，所述将鼾声信息转化为关于打鼾时间和打鼾频率的打鼾关系数据，并且将呼吸信息转化为关于呼吸时间和呼吸频率的呼吸关系数据的步骤包括：基于鼾声信息形成鼾声波形图，基于呼吸信息形成呼吸波形图。Preferably, the step of converting the snoring sound information into snoring relational data about snoring time and snoring frequency, and converting the breathing information into breathing relational data about breathing time and breathing frequency includes: forming a snoring sound waveform diagram based on the snoring sound information; The respiration information forms a respiration waveform.
本发明还提供一种实现所述共眠鼾声识别方法的共眠鼾声识别系统，包括：The present invention also provides a co-sleeping snoring sound recognition system for realizing the co-sleeping snoring sound recognition method, comprising:
控制器，控制器包括信息接收模块、分析判断模块以及指令发送模块；A controller, the controller includes an information receiving module, an analysis and judgment module and an instruction sending module;
呼吸监测系统，呼吸监测系统通信连接于信息接收模块，呼吸监测系统用于采集被监测者的呼吸信息；Respiratory monitoring system, the respiratory monitoring system is communicatively connected to the information receiving module, and the respiratory monitoring system is used to collect the respiratory information of the monitored person;
鼾声监测系统，鼾声监测系统通信连接于信息接收模块，鼾声监测系统用于同时采集被监测者的外周处以及与被监测者共眠的同睡者的外周处的声音信息；a snoring sound monitoring system, the snoring sound monitoring system is communicatively connected to the information receiving module, and the snoring sound monitoring system is used to simultaneously collect the sound information of the periphery of the monitored person and the periphery of the co-sleeper who sleeps with the monitored person;
供被监测者和被监测者使用的止鼾枕，止鼾枕包括睡枕以及使睡枕形态或位姿发生变化的头部调节机构，头部调节机构通信连接于指令发送模块。An anti-snoring pillow for the monitored person and the monitored person, the anti-snoring pillow includes a sleeping pillow and a head adjusting mechanism for changing the shape or posture of the sleeping pillow, and the head adjusting mechanism is communicatively connected to an instruction sending module.
优选地，所述呼吸监测系统包括心率传感器、呼吸传感器以及呼吸频率校准模块，心率传感器用于采集被监测者的心率信息并且通信连接于呼吸频率校准模块，呼吸传感器用于采集被监测者的呼吸频率信息并且通信连接于呼吸频率校准模块，呼吸频率校准模块通信连接于信息接收模块。Preferably, the respiration monitoring system includes a heart rate sensor, a respiration sensor and a respiration frequency calibration module, the heart rate sensor is used to collect the heart rate information of the monitored person and is connected to the respiration frequency calibration module in communication, and the respiration sensor is used to collect the respiration of the monitored person The frequency information is also communicatively connected to the respiratory frequency calibration module, and the respiratory frequency calibration module is communicatively connected to the information receiving module.
优选地，所述鼾声监测系统包括多个麦克风，所有麦克风均布于被监测者的头部的外周处以及同睡者的头部的外周处。Preferably, the snoring sound monitoring system includes a plurality of microphones, all of which are distributed on the periphery of the head of the subject to be monitored and the periphery of the head of the co-sleeper.
如上所述，本发明的基于鼾声和呼吸声特征比对的共眠鼾声识别方法及系统，具有以下有益效果：在本发明中，入睡者包括被监测者和与被监测者共眠的同睡者，鉴于两个人在一起打鼾时入睡者的呼吸频率很难达到一致，本发明提供了上述共眠鼾声识别方法。首先，由于同睡者的鼾声或者睡眠环境中的其他声音会干扰被监测者的鼾声监测，须要采集被监测者所处睡眠环境中的所有声音并且过滤提取鼾声信息，与此同时，还须要采集被监测者的呼吸信息。接着，为了便于比对上述鼾声信息的内容和呼吸信息的内容，将鼾声信息转化为关于打鼾时间和打鼾频率的打鼾关系数据，并且将呼吸信息转化为关于呼吸时间和呼吸频率的呼吸关系数据。然后，从打鼾关系数据提取所有打鼾停止时间点，从呼吸关系数据提取所有呼气结束时间点和所有吸气结束时间点，在时间维度上对打鼾停止时间点、呼气结束时间点以及吸气结束时间点进行交叉比对；若打鼾停止时间点分别与呼气结束时间点和吸气结束时间点重合，则判断被监测者发生打鼾并且对被监测者进行止鼾干预，否则判断被监测者未打鼾。这样能够准确判断被监测者是否发生打鼾行为，并且及时干预，提高被监测者的睡眠质量。因此，本发明的基于鼾声和呼吸声特征比对的共眠鼾声识别方法在不知鼾声或类似鼾声的声音由谁发出的情形下能够完全排除对被监测者进行鼾声监测的干扰因素，准确判断被监测者是否发生打鼾行为并且及时干预，从而提高被监测者的睡眠质量。As described above, the method and system for co-sleeping snoring recognition based on the feature comparison of snoring and breathing sounds of the present invention have the following beneficial effects: In view of the fact that when two people snore together, it is difficult for the sleeping person to reach the same breathing frequency, the present invention provides the above-mentioned method for identifying co-sleeping snoring sounds. First of all, since the snoring sound of the co-sleeper or other sounds in the sleeping environment will interfere with the monitoring of the snoring sound of the monitored person, it is necessary to collect all sounds in the sleeping environment of the monitored person and filter and extract the snoring sound information. At the same time, it is also necessary to collect Respiratory information of the monitored person. Next, in order to compare the content of the snoring sound information with the content of the breathing information, the snoring sound information is converted into snoring relationship data about snoring time and snoring frequency, and the breathing information is converted into breathing relationship data about breathing time and breathing frequency. Then, extract all snoring stop time points from the snoring relationship data, extract all expiratory end time points and all inspiratory end time points from the breathing relationship data, and analyze the snoring stop time points, expiratory end time points, and inhalation time points in the time dimension. The end time point is cross-compared; if the stop time point of snoring coincides with the end time point of exhalation and the end time point of inhalation respectively, it is judged that the monitored person snores and the monitored person is intervened to stop snoring; otherwise, the monitored person is judged to be snoring. Not snoring. In this way, it is possible to accurately judge whether the monitored person has snoring behavior, and timely intervene to improve the sleep quality of the monitored person. Therefore, the co-sleeping snoring sound recognition method based on the feature comparison of snoring sound and breathing sound of the present invention can completely eliminate the interference factors of monitoring the snoring sound of the monitored person without knowing who makes the snoring sound or the sound similar to the snoring sound, and accurately judge the snoring sound of the monitored person. Monitor whether the snoring behavior occurs and intervene in time, so as to improve the sleep quality of the monitored person.
附图说明Description of drawings
图1显示为本发明的基于鼾声和呼吸声特征比对的共眠鼾声识别方法的流程图；Fig. 1 shows the flow chart of the co-sleeping snoring sound recognition method based on snoring sound and breathing sound feature comparison of the present invention;
图2显示为本发明的共眠鼾声识别系统的示意图。FIG. 2 is a schematic diagram of the co-sleeping snoring sound recognition system of the present invention.
元件标号说明Component label description
1 控制器1 Controller
11 信息接收模块11 Information receiving module
12 分析判断模块12 Analysis and judgment module
13 指令发送模块13 Command sending module
2 呼吸监测系统2 Respiratory monitoring system
21 心率传感器21 Heart rate sensor
22 呼吸传感器22 Breathing sensor
23 呼吸频率校准模块23 Respiratory Rate Calibration Module
3 鼾声监测系统3 Snore monitoring system
31 麦克风31 Microphone
4 止鼾枕4 Anti-Snoring Pillow
41 睡枕41 Pillow
42 头部调节机构42 Head Adjustment Mechanism
具体实施方式Detailed ways
以下由特定的具体实施例说明本发明的实施方式，熟悉此技术的人士可由本说明书所揭露的内容轻易地了解本发明的其他优点及功效。The embodiments of the present invention are described below by specific embodiments, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification.
须知，本说明书所附图中所绘示的结构、比例、大小等，均仅用以配合说明书所揭示的内容，以供熟悉此技术的人士了解与阅读，并非用以限定本发明可实施的限定条件，故不具技术上的实质意义，任何结构的修饰、比例关系的改变或大小的调整，在不影响本发明所能产生的功效及所能达成的目的下，均应仍落在本发明所揭示的技术内容所能涵盖的范围内。同时，本说明书中所引用的如“上”、“下”、“左”、“右”、“中间”及“一”等的用语，亦仅为便于叙述的明了，而非用以限定本发明可实施的范围，其相对关系的改变或调整，在无实质变更技术内容下，当亦视为本发明可实施的范畴。It should be noted that the structures, proportions, sizes, etc. shown in the accompanying drawings in this specification are only used to cooperate with the contents disclosed in the specification for the understanding and reading of those who are familiar with the technology, and are not intended to limit the implementation of the present invention. Restricted conditions, it does not have technical substantive significance, any structural modification, proportional relationship change or size adjustment, without affecting the effect that the present invention can produce and the purpose that can be achieved, should still fall within the present invention. The scope of the disclosed technical content can be covered. At the same time, the terms such as "up", "down", "left", "right", "middle" and "one" quoted in this specification are only for the convenience of description and clarity, and are not used to limit this specification. The implementable scope of the invention, and the change or adjustment of the relative relationship thereof, shall also be regarded as the implementable scope of the present invention without substantially changing the technical content.
如图1所示，本发明提供一种基于鼾声和呼吸声特征比对的共眠鼾声识别方法，包括以下步骤：As shown in Figure 1, the present invention provides a method for identifying co-sleeping snoring based on snoring and breathing sound feature comparison, comprising the following steps:
采集被监测者所处睡眠环境中的所有声音并且过滤提取鼾声信息，同时采集被监测者的呼吸信息；Collect all sounds in the sleeping environment of the monitored person, filter and extract the snoring sound information, and collect the breathing information of the monitored person at the same time;
将鼾声信息转化为关于打鼾时间和打鼾频率的打鼾关系数据，并且将呼吸信息转化为关于呼吸时间和呼吸频率的呼吸关系数据；Convert snoring sound information into snoring relationship data about snoring time and snoring frequency, and convert breathing information into breathing relationship data about breathing time and breathing frequency;
从打鼾关系数据提取所有打鼾停止时间点，从呼吸关系数据提取所有呼气结束时间点和所有吸气结束时间点，在时间维度上对打鼾停止时间点、呼气结束时间点以及吸气结束时间点进行交叉比对；Extract all snoring stop time points from the snoring relationship data, extract all expiratory end time points and all inspiratory end time points from the respiratory relationship data, and compare the snoring stop time points, expiratory end time points, and inspiratory end time points in the time dimension. point for cross-comparison;
若打鼾停止时间点分别与呼气结束时间点和吸气结束时间点重合，则判断被监测者发生打鼾并且对被监测者进行止鼾干预。If the snoring stop time points respectively coincide with the expiration end time point and the inspiration end time point, it is determined that the monitored person snores and the monitored person is intervened to stop snoring.
在本发明中，入睡者包括被监测者和与被监测者共眠的同睡者，鉴于两个人在一起打鼾时入睡者的呼吸频率很难达到一致，本发明提供了上述共眠鼾声识别方法。首先，由于同睡者的鼾声或者睡眠环境中的其他声音会干扰被监测者的鼾声监测，须要采集被监测者所处睡眠环境中的所有声音并且过滤提取鼾声信息，与此同时，还须要采集被监测者的呼吸信息。接着，为了便于比对上述鼾声信息的内容和呼吸信息的内容，将鼾声信息转化为关于打鼾时间和打鼾频率的打鼾关系数据，并且将呼吸信息转化为关于呼吸时间和呼吸频率的呼吸关系数据。然后，从打鼾关系数据提取所有打鼾停止时间点，从呼吸关系数据提取所有呼气结束时间点和所有吸气结束时间点，在时间维度上对打鼾停止时间点、呼气结束时间点以及吸气结束时间点进行交叉比对；若打鼾停止时间点分别与呼气结束时间点和吸气结束时间点重合，则判断被监测者发生打鼾并且对被监测者进行止鼾干预，否则判断被监测者未打鼾。这样在不知鼾声或类似鼾声的声音由谁发出的情形下能够准确判断被监测者是否发生打鼾行为，并且及时干预，同时提高被监测者的睡眠质量。In the present invention, the sleeper includes the monitored person and the co-sleeping person who sleeps with the monitored person. In view of the fact that the breathing frequency of the sleeper is difficult to achieve when two people snore together, the present invention provides the above-mentioned co-sleeping snoring sound recognition method . First of all, since the snoring sound of the co-sleeper or other sounds in the sleeping environment will interfere with the monitoring of the snoring sound of the monitored person, it is necessary to collect all sounds in the sleeping environment of the monitored person and filter and extract the snoring sound information. At the same time, it is also necessary to collect Respiratory information of the monitored person. Next, in order to compare the content of the snoring sound information with the content of the breathing information, the snoring sound information is converted into snoring relationship data about snoring time and snoring frequency, and the breathing information is converted into breathing relationship data about breathing time and breathing frequency. Then, extract all snoring stop time points from the snoring relationship data, extract all expiratory end time points and all inspiratory end time points from the breathing relationship data, and analyze the snoring stop time points, expiratory end time points, and inhalation time points in the time dimension. The end time point is cross-compared; if the stop time point of snoring coincides with the end time point of exhalation and the end time point of inhalation respectively, it is judged that the monitored person snores and the monitored person is intervened to stop snoring; otherwise, the monitored person is judged to be snoring. Not snoring. In this way, it is possible to accurately determine whether the monitored person is snoring without knowing who makes the snoring sound or the sound similar to the snoring sound, and to intervene in time, while improving the sleep quality of the monitored person.
因此，本发明的基于鼾声和呼吸声特征比对的共眠鼾声识别方法在不知鼾声或类似鼾声的声音由谁发出的情形下能够完全排除对被监测者进行鼾声监测的干扰因素，准确判断被监测者是否发生打鼾行为并且及时干预，从而提高被监测者的睡眠质量。Therefore, the co-sleeping snoring sound recognition method based on the feature comparison of snoring sound and breathing sound of the present invention can completely eliminate the interference factors of monitoring the snoring sound of the monitored person without knowing who made the snoring sound or the sound similar to snoring sound, and accurately judge the snoring sound of the monitored person. Monitor whether the snoring behavior occurs and intervene in time, so as to improve the sleep quality of the monitored person.
为了便于比对各个时间点，上述将鼾声信息转化为关于打鼾时间和打鼾频率的打鼾关系数据，并且将呼吸信息转化为关于呼吸时间和呼吸频率的呼吸关系数据的步骤包括：基于鼾声信息形成鼾声波形图，基于呼吸信息形成呼吸波形图。In order to facilitate comparison of various time points, the above-mentioned steps of converting snoring sound information into snoring relationship data about snoring time and snoring frequency, and converting breathing information into breathing relationship data about breathing time and breathing frequency include: forming snoring sound based on snoring sound information Waveform, based on breathing information to form a breathing waveform.
如图2所示，本发明还提供一种实现上述共眠鼾声识别方法的共眠鼾声识别系统，包括：As shown in Figure 2, the present invention also provides a co-sleeping snoring sound recognition system for realizing the above-mentioned co-sleeping snoring sound identification method, including:
控制器1，控制器1包括信息接收模块11、分析判断模块12以及指令发送模块13；A controller 1, the controller 1 includes an
呼吸监测系统2，呼吸监测系统2通信连接于信息接收模块11，呼吸监测系统2用于采集被监测者的呼吸信息；
鼾声监测系统3，鼾声监测系统3通信连接于信息接收模块11，鼾声监测系统3用于同时采集被监测者的外周处以及与被监测者共眠的同睡者的外周处的声音信息；The snoring sound monitoring system 3, the snoring sound monitoring system 3 is connected to the
供被监测者和被监测者使用的止鼾枕4，止鼾枕4包括睡枕41以及使睡枕41形态或位姿发生变化的头部调节机构42，头部调节机构42通信连接于指令发送模块13。An
在本发明的共眠鼾声识别系统中，信息接收模块11用于接收上述鼾声信息和呼吸信息，分析判断模块12用于将鼾声信息转化为关于打鼾时间和打鼾频率的打鼾关系数据，并且将呼吸信息转化为关于呼吸时间和呼吸频率的呼吸关系数据；分析判断模块12还用于从打鼾关系数据提取所有打鼾停止时间点，从呼吸关系数据提取所有呼气结束时间点和所有吸气结束时间点，在时间维度上对打鼾停止时间点、呼气结束时间点以及吸气结束时间点进行交叉比对。更重要的是，分析判断模块12作出被监测者是否打鼾的判断并且形成对应的止鼾指令，指令发送模块13用于向头部调节机构42发送止鼾指令，从而驱动该头部调节机构42，以调整发生打鼾行为的入睡者的头部，直至入睡者停止打鼾。In the co-sleeping snoring sound recognition system of the present invention, the
为了更加准确测得被监测者的呼吸频率，上述呼吸监测系统2包括心率传感器21、呼吸传感器22以及呼吸频率校准模块23，心率传感器21用于采集被监测者的心率信息并且通信连接于呼吸频率校准模块23，呼吸传感器22用于采集被监测者的呼吸频率信息并且通信连接于呼吸频率校准模块23，呼吸频率校准模块23通信连接于信息接收模块11。具体的，由于心率和呼吸频率之间存在一定关联，当呼吸频率校准模块23接收到心率信息和呼吸频率信息时，基于该被监测者的特定生理特性，最终得出经过校准处理的呼吸频率。In order to more accurately measure the respiratory rate of the monitored person, the above-mentioned
为了全方面采集上述鼾声信息，上述鼾声监测系统3包括多个麦克风31，所有麦克风31均布于被监测者的头部的外周处以及同睡者的头部的外周处。In order to collect the snoring sound information in all aspects, the snoring sound monitoring system 3 includes a plurality of
综上所述，本发明的基于鼾声和呼吸声特征比对的共眠鼾声识别方法及系统，在不知鼾声或类似鼾声的声音由谁发出的情形下能够完全排除对被监测者进行鼾声监测的干扰因素，准确判断被监测者是否发生打鼾行为并且及时干预，从而提高被监测者的睡眠质量。所以，本发明有效克服了现有技术中的种种缺点而具高度产业利用价值。To sum up, the method and system for co-sleeping snoring recognition based on the feature comparison of snoring and breathing sounds of the present invention can completely eliminate the need to monitor the snoring sound of the monitored person without knowing who makes the snoring sound or the sound similar to snoring sound. Interfering factors, accurately determine whether the snoring behavior of the monitored person occurs and intervene in time, so as to improve the sleep quality of the monitored person. Therefore, the present invention effectively overcomes various shortcomings in the prior art and has high industrial application value.
上述实施例仅例示性说明本发明的原理及其功效，而非用于限制本发明。任何熟悉此技术的人士皆可在不违背本发明的精神及范畴下，对上述实施例进行修饰或改变。因此，举凡所属技术领域中具有通常知识者在未脱离本发明所揭示的精神与技术思想下所完成的一切等效修饰或改变，仍应由本发明的权利要求所涵盖。The above-mentioned embodiments merely illustrate the principles and effects of the present invention, but are not intended to limit the present invention. Anyone skilled in the art can modify or change the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or changes made by those with ordinary knowledge in the technical field without departing from the spirit and technical idea disclosed in the present invention should still be covered by the claims of the present invention.
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