








技术领域technical field
本发明涉及医疗检测设备领域,尤其是一种呼吸频率的检测方法。The invention relates to the field of medical detection equipment, in particular to a method for detecting respiratory frequency.
背景技术Background technique
呼吸是衡量人体生理健康指标的重要因素之一。呼吸频率的检测对感冒发烧、咳嗽、哮喘、肺病、心脏病、睡眠呼吸暂停综合症等呼吸类疾病具有重要意义。Respiration is one of the important factors to measure the physiological health index of human body. The detection of respiratory frequency is of great significance to respiratory diseases such as cold, fever, cough, asthma, lung disease, heart disease, and sleep apnea syndrome.
在现有技术中,呼吸频率的检测方式主要有接触式测量法和非接触式测量法。在接触式测量法中,需要测量者携带、捆绑或者粘贴呼吸类传感器到对应身体部位,该传感器的线路布设复杂,使得数据传输、供电、测量都不方便,且成本较高。In the prior art, detection methods of respiratory frequency mainly include contact measurement method and non-contact measurement method. In the contact measurement method, the measurer needs to carry, bundle or paste the breathing sensor to the corresponding body part. The circuit layout of the sensor is complicated, which makes data transmission, power supply and measurement inconvenient, and the cost is high.
非接触式测量方法为医生观察测试人员一分钟的胸廓起伏次数或者使用棉花丝至于测试人员鼻孔处,观察棉花丝的变化,从而检测呼吸频率。该种测量方法虽然较为简便,但是却容易受到干扰,测量不准确。The non-contact measurement method is that the doctor observes the number of chest rises and rises of the tester in one minute, or uses cotton silk to the nostril of the tester, and observes the change of the cotton thread to detect the respiratory rate. Although this measurement method is relatively simple, it is easily disturbed and the measurement is inaccurate.
发明内容SUMMARY OF THE INVENTION
有鉴于此,本发明提供了一种呼吸频率的检测方法,该检测方法应用简单,成本较低,且能够较为准确地对测试者的呼吸频率进行检测。In view of this, the present invention provides a method for detecting the respiratory rate, which is simple in application, low in cost, and can detect the respiratory rate of the tester more accurately.
本发明提供了一种呼吸频率的检测方法,包括如下步骤:The invention provides a method for detecting respiratory frequency, comprising the steps of:
提供第一标记及第二标记,所述第一标记与所述第二标记之间的相对位置随测试者的呼吸而发生周期性变化;providing a first mark and a second mark, the relative position between the first mark and the second mark changes periodically with the breath of the tester;
获取所述第一标记及所述第二标记在测试者呼吸时位置变化的视频图像;Acquiring video images of position changes of the first mark and the second mark when the tester breathes;
将所述视频图像分离为以时间先后为顺序的视频帧;separating the video image into video frames in chronological order;
选取特定的视频帧,并识别每一选取的所述视频帧中所述第一标记与所述第二标记的位置;selecting specific video frames, and identifying the positions of the first marker and the second marker in each selected video frame;
测得每一选取的所述视频帧中所述第一标记与所述第二标记之间的距离,并形成时间-距离曲线图;measuring the distance between the first marker and the second marker in each selected video frame, and forming a time-distance graph;
在特定的时间内对所述时间-距离曲线图的周期进行计数;counting the periods of the time-distance graph during a specified time;
在选取特定的视频帧,并识别每一选取的所述视频帧中所述第一标记与所述第二标记的位置的步骤后,该方法还包括,在所述第一标记上提取第一特征点,在所述第二标记上提取第二特征点,通过测量每一选取的所述视频帧中所述第一特征点与所述第二特征点之间的距离,以得到所述第一标记与所述第二标记之间的距离。After selecting a specific video frame and identifying the positions of the first marker and the second marker in each selected video frame, the method further includes extracting a first marker on the first marker. A feature point, extracting a second feature point on the second mark, by measuring the distance between the first feature point and the second feature point in each selected video frame, to obtain the first feature point the distance between a marker and the second marker.
进一步地,至少所述第一标记及所述第二标记的其中之一的位置随着测试者的呼吸而发生周期性的变化。Further, the position of at least one of the first mark and the second mark changes periodically as the tester breathes.
进一步地,所述第一标记与所述第二标记位于测试者的鼻孔与嘴部之间,所述第一标记形成一自由端,该自由端的位置随着测试者呼吸产生的气流而发生周期性变化。Further, the first mark and the second mark are located between the nostril and the mouth of the tester, and the first mark forms a free end, and the position of the free end changes periodically with the airflow generated by the tester's breathing. Sexual changes.
进一步地,所述第一标记与所述第二标记均随着所述测试者呼吸时身体的运动而运动。Further, both the first mark and the second mark move with the movement of the tester's body when breathing.
进一步地,所述第一标记及所述第二标记分别固定于人体的左胸部及右胸部,或者分别固定于鼻翼的两侧。Further, the first mark and the second mark are respectively fixed on the left chest and the right chest of the human body, or are respectively fixed on both sides of the alar of the nose.
进一步地,以时间先后为顺序,识别每一视频帧中第一标记与第二标记的位置;然后测得每一所述视频帧中所述第一标记与所述第二标记之间的距离,并形成时间-距离曲线图;最后在特定的时间内对所述时间-距离曲线图的周期进行计数。Further, in order of time, identify the positions of the first mark and the second mark in each video frame; then measure the distance between the first mark and the second mark in each of the video frames , and form a time-distance graph; finally count the period of the time-distance graph within a specific time.
总上所述,在本发明中通过对选出的特定视频帧内第一标记及第二标记之间距离的测量,能够反映出第一标记及第二标记之间距离的变化趋势,即使在某些视频帧内,由于某些原因第一标记与第二标记之间的距离不能够反映测试者的呼吸状况,但是,该测试方法是从整体趋势上对测试者的呼吸频率进行计数,这能够较为准确地对测试者的呼吸频率进行检测,由于在测试时,仅需要固定两个标记的位置,因此,该方法应用简单,且成本较低。As mentioned above, in the present invention, by measuring the distance between the first marker and the second marker in the selected specific video frame, the variation trend of the distance between the first marker and the second marker can be reflected, even in In some video frames, for some reason the distance between the first mark and the second mark cannot reflect the tester's breathing condition, but the test method is to count the tester's breathing rate from the overall trend, which The breathing rate of the tester can be detected relatively accurately, and since only the positions of two marks need to be fixed during the test, the method is simple to apply and has low cost.
上述说明仅是本发明技术方案的概述,为了能够更清楚了解本发明的技术手段,而可依照说明书的内容予以实施,并且为了让本发明的上述和其他目的、特征和优点能够更明显易懂,以下特举较佳实施例,并配合附图,详细说明如下。The above description is only an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention, it can be implemented according to the contents of the description, and in order to make the above and other purposes, features and advantages of the present invention more obvious and understandable , the following preferred embodiments are specifically cited below, and are described in detail as follows in conjunction with the accompanying drawings.
附图说明Description of drawings
图1为本发明提供的呼吸频率的检测方法中各步骤的示意图。Fig. 1 is a schematic diagram of each step in the detection method of respiratory frequency provided by the present invention.
图2为本发明提供的呼吸频率的检测方法的第一实施例中,第一标记及第二标记的安放位置示意图。FIG. 2 is a schematic diagram of the placement positions of the first marker and the second marker in the first embodiment of the method for detecting the respiratory frequency provided by the present invention.
图3为在本发明第一实施例中标记片与固定片之间的位置关系示意图。Fig. 3 is a schematic diagram of the positional relationship between the marking sheet and the fixing sheet in the first embodiment of the present invention.
图4为本发明第一实施例中,沿时间顺序,在各特定帧的图像内,第一标记及第二标记的位置关系示意图。FIG. 4 is a schematic diagram of the positional relationship between the first mark and the second mark in the image of each specific frame along the time sequence in the first embodiment of the present invention.
图5为本发明第一实施例中,沿时间顺序,第一标记及第二标记之间距离变化的时间-距离曲线图。FIG. 5 is a time-distance graph showing changes in the distance between the first mark and the second mark along the time sequence in the first embodiment of the present invention.
图6为本发明提供的呼吸频率的检测方法的第二实施例中,第一标记及第二标记的安放位置示意图。FIG. 6 is a schematic diagram of the placement positions of the first marker and the second marker in the second embodiment of the method for detecting respiratory frequency provided by the present invention.
图7为本发明第二实施例中,沿时间顺序,在各特定帧的图像内,第一标记及第二标记的位置关系示意图。FIG. 7 is a schematic diagram of the positional relationship between the first mark and the second mark in the image of each specific frame along the time sequence in the second embodiment of the present invention.
图8为本发明第二实施例中,沿时间顺序,第一标记及第二标记之间距离变化的时间-距离曲线图。FIG. 8 is a time-distance graph showing the change in the distance between the first mark and the second mark along the time sequence in the second embodiment of the present invention.
图9为本发明提供的检测装置的系统框图。Fig. 9 is a system block diagram of the detection device provided by the present invention.
具体实施方式Detailed ways
为更进一步阐述本发明为达成预定发明目的所采取的技术手段及功效,以下结合附图及较佳实施例,详细说明如下。In order to further explain the technical means and functions adopted by the present invention to achieve the intended invention purpose, the detailed description is as follows in conjunction with the accompanying drawings and preferred embodiments.
本发明提供了一种呼吸频率的检测方法及应用该呼吸频率的检测方法进行呼吸频率检测的检测装置,该检测方法应用简单,成本较低,且能够较为准确地对测试者的呼吸频率进行检测。The present invention provides a detection method for respiratory frequency and a detection device for detecting respiratory frequency by using the detection method for respiratory frequency. The detection method is simple in application, low in cost, and can detect the respiratory frequency of a tester more accurately .
图1为本发明提供的呼吸频率的检测方法中各步骤的示意图,如图1所示,本发明提供了一种呼吸频率的检测方法,该检测方法包括以下步骤:Fig. 1 is the schematic diagram of each step in the detection method of respiratory frequency provided by the present invention, as shown in Figure 1, the present invention provides a kind of detection method of respiratory frequency, and this detection method comprises the following steps:
提供第一标记及第二标记,第一标记与第二标记的相对位置会随测试者的呼吸而发生周期性变化;Provide a first mark and a second mark, and the relative position of the first mark and the second mark will change periodically with the breath of the tester;
获取第一标记及第二标记在测试者呼吸时位置变化的视频图像;Obtaining video images of the position changes of the first mark and the second mark when the tester breathes;
将上述视频图像分离为以时间先后为顺序的视频帧;Separating the above video images into video frames in chronological order;
选取特定的视频帧,并识别每一选取的视频帧中第一标记及第二标记的位置;selecting specific video frames, and identifying the positions of the first marker and the second marker in each selected video frame;
测得每一选取的视频帧中第一标记与第二标记之间的距离,并形成时间-距离曲线图;Measure the distance between the first mark and the second mark in each selected video frame, and form a time-distance curve;
在特定时间内对时间-距离曲线图的周期进行计数,以得到测试者的呼吸频率。The cycles of the time-distance graph are counted within a specific time to obtain the tester's breathing rate.
图2为本发明提供的呼吸频率的检测方法的第一实施例中,第一标记及第二标记的安放位置示意图,图3为在本发明第一实施例中标记片与固定片之间的位置关系示意图,图4为本发明第一实施例中,沿时间顺序,在各特定帧的图像内,第一标记及第二标记的位置关系示意图,图5为本发明第一实施例中,沿时间顺序,第一标记及第二标记之间距离变化的时间-距离曲线图。如图2至图5所示,在本实施例中,第一标记11及第二标记12均设置于测试者的鼻孔与嘴部之间,第一标记11形成一个自由端,该自由端的位置会随着测试者的呼吸产生的气流而发生周期性变化,第二标记12固定于测试者的人体上。Fig. 2 is a schematic diagram of the placement positions of the first mark and the second mark in the first embodiment of the method for detecting respiratory frequency provided by the present invention, and Fig. 3 is a schematic diagram of the position between the mark sheet and the fixed sheet in the first embodiment of the present invention Schematic diagram of the positional relationship. FIG. 4 is a schematic diagram of the positional relationship between the first marker and the second marker in the images of each specific frame along the time sequence in the first embodiment of the present invention. FIG. 5 is a schematic diagram of the positional relationship between the first marker and the second marker in the first embodiment of the present invention. A time-distance graph showing changes in the distance between the first marker and the second marker along the time sequence. As shown in Figures 2 to 5, in this embodiment, the
在本实施例中,第一标记11与第二标记12均可以为纸质材质,同样地,也可以为丝线或塑料等。为了便于第一标记11及第二标记12的固定,第一标记11及第二标记12可以形成于同一标记片10的两个相对的边缘上,在固定时,第一标记11相比于第二标记12更靠近鼻孔部位。在标记片10上第一标记11所在一端的厚度小于第二标记12所在一端的厚度,以便测试者鼻孔呼吸产生的气流能够带动第一标记11运动,同时使第二标记12更稳定地固定在鼻孔与嘴部之间相应位置。如在本实施例中,标记片10的宽度可以为40-60mm,高度可以为20-40mm,标记片10上第一标记11所在一端的厚度可以为0.03-0.08mm,以便于呼吸的气流能够带动第一标记11运动,标记片10上第二标记12所在一端的厚度可以为1-5mm。如图3所示,为了便于标记片10的固定,标记片10可以固定于固定片20上,标记片10上第一标记11所在的一端与固定片20呈小于90°的夹角,以便于气流能够带动第一标记11运动。在本实施例中,固定片20的宽度可以为50-90mm,高度可以为10-30mm。In this embodiment, both the
在固定第一标记11及第二标记12时,先将固定片20贴附于测试者鼻孔与上嘴唇之间,然后将标记片10固定于固定片20上,并使第一标记11相比于第二标记12更靠近鼻孔所在的一侧。When fixing the
通过摄像机,优选为高清摄像机,在测试者呼吸的过程中,采集第一标记11及第二标记12的视频图像,也即标记片10变化的视频图像。在实际的测试中,人体的呼吸范围大致为一分钟16至44次,为了较好地获取到呼吸过程中标记片10的变化状态,摄像机采集帧率大于1fps,优选为10fps,当摄像机采集帧率为10fps时,摄像机一分钟可以采集到600张反应标记片10变化的视频帧。A video camera, preferably a high-definition camera, collects video images of the
对采集的视频进行分离,使其形成以时间先后为顺序的视频帧。The collected video is separated to form video frames in chronological order.
识别每一视频帧内第一标记11及第二标记12的位置。具体地,在本实施例中,可以通过canny边缘检测算子、sobel边缘检测算子、laplacian边缘检测算子及prewitt边缘检测算子等方法检测出标记片10上下两个边缘,即为第一标记11与第二标记12的位置。The positions of the
可以理解地,在其它实施例中,也可以选取特定的视频帧,如每间隔10帧选取一幅视频帧,并对该视频帧内第一标记11及第二标记12进行识别,在保证准确度的前提下以减少识别时的计算量。It can be understood that in other embodiments, a specific video frame can also be selected, such as selecting a video frame every 10 frames, and identifying the
为了便于第一标记11及第二标记12的识别,标记片10的颜色可以为与周围环境色差较大的颜色,如白色或黑色。In order to facilitate identification of the
进一步地,为了便于对第一标记11及第二标记12之间的距离进行测量,本发明还可以包括,在第一标记11及第二标记12上提取第一特征点111及第二特征点121,在本实施例中,可以提取标记片10上部边缘的中点作为第一特征点111,提取标记片10下部边缘的中点作为第二特征点121。在本实施例中,上述特征点的提取可以用基于hough变换等方法的线段提取得出。Further, in order to facilitate the measurement of the distance between the
如图4所示(为了便于表达,图3中仅示出了部分视频帧中第一特征点111及第二特征点121之间的位置关系),测得每一选取的视频帧内第一特征点111与第二特征点121之间的距离,并根据上述的数据,得到时间-距离曲线图。在得到时间-距离曲线图的过程中,可以通过时域滤波、频域滤波高斯滤波或中值滤波等方法对第一特征点111与第二特征点121之间的距离的数据进行处理,以平滑数据曲线。As shown in Figure 4 (for ease of expression, only the positional relationship between the
由于测试者的呼吸是一个循环往复的过程,因此,在得到时间-距离曲线图后,如图5所示,该图会呈现一定的周期性,通过计算特定时间内的周期数,如60s内的周期数,即可得到测试者的呼吸频率。Since the tester's breathing is a reciprocating process, after obtaining the time-distance graph, as shown in Figure 5, the graph will present a certain periodicity, by calculating the number of cycles within a specific time, such as within 60s The number of cycles, the tester's respiratory rate can be obtained.
在本实施例中,通过对选出的特定视频帧内第一标记11及第二标记12之间距离的测量,能够反映出第一标记11及第二标记12之间距离的变化趋势,即使在某些视频帧内,由于某些原因第一标记11与第二标记12之间的距离不能够反映测试者的呼吸状况,但是,该测试方法是从整体趋势上对测试者的呼吸频率进行计数,这能够较为准确地对测试者的呼吸频率进行检测,由于在测试时,仅需要固定两个标记的位置,因此,该方法应用简单,且成本较低。In this embodiment, by measuring the distance between the
图6为本发明提供的呼吸频率的检测方法的第二实施例中,第一标记及第二标记的安放位置示意图,图7为本发明第二实施例中,沿时间顺序,在各特定帧的图像内,第一标记及第二标记的位置关系示意图,图8为本发明第二实施例中,沿时间顺序,第一标记及第二标记之间距离变化的时间-距离曲线图。本发明第二实施例提供的呼吸频率的检测方法与第一实施例提供的方法基本相同,其不同之处在于,在本实施例中,第一标记11及第二标记12为两个独立的标记片10,第一标记11及第二标记12分别固定于测试者的左胸部及右胸部,也即,第一标记11及第二标记12均会随着测试者呼吸时身体的运动而运动。通过摄像机记录第一标记11与第二标记12之间距离变化的视频,并对该视频图像进行分析,以得出时间-距离曲线图,最后求得该时间-距离曲线图的周期数,以得到测试者的呼吸频率。Fig. 6 is a schematic diagram of the placement positions of the first marker and the second marker in the second embodiment of the method for detecting respiratory frequency provided by the present invention, and Fig. 7 is a time sequence in each specific frame in the second embodiment of the present invention 8 is a schematic diagram of the positional relationship between the first mark and the second mark in the image of FIG. 8 , and FIG. 8 is a time-distance curve diagram of the distance change between the first mark and the second mark along the time sequence in the second embodiment of the present invention. The breathing frequency detection method provided by the second embodiment of the present invention is basically the same as the method provided by the first embodiment, the difference is that in this embodiment, the
可以理解地,在本实施例中,同样可以在第一标记11中提取第一特征点111,以及在第二标记12中提取第二特征点121,以便于第一标记11与第二标记12之间距离的测量。在本实施例中,上述特征点的提取可以用基于hough变换的椭圆提取等方法得出。It can be understood that, in this embodiment, the
在其它实施例中,第一标记11和第二标记12的位置不仅可以设置于测试者的左胸部及右胸部,也可以在腹部或鼻翼部等能够在测试者呼吸时产生运动的位置,以便使第一标记11及第二标记12之间的距离在测试者呼吸的过程中而发生变化。也即在测试者的呼吸中,至少要保证第一标记11及第二标记12的其中之一的位置会随着测试者的呼吸而发生周期性的变化。In other embodiments, the positions of the
图8为本发明提供的检测装置的系统框图,如图8所示,本发明还提供了一种应用上述呼吸频率的检测方法进行呼吸频率检测的检测装置,该检测装置包括第一标记11、第二标记12、视频图像获取单元30及处理单元40,第一标记11及第二标记12设置于测试者的身体上,第一标记11及第二标记12之间的相对位置会随着测试者的呼吸而做周期性变化;视频图像获取单元30获取第一标记11及第二标记12在测试者呼吸时位置变化的视频头像;处理单元40将上述视频图像分离为以时间先后为顺序的视频帧,选取特定的视频帧,并识别每一选取的视频帧中第一标记11及第二标记12的位置;然后测得每一选取的视频帧中,第一标记11与第二标记12之间的距离,并形成时间-距离曲线图;最后在特定时间内对时间-距离曲线图的周期进行计数,以得到测试者的呼吸频率。Fig. 8 is a system block diagram of the detection device provided by the present invention. As shown in Fig. 8, the present invention also provides a detection device for detecting respiratory frequency by applying the detection method of respiratory frequency. The detection device includes a
以上所述,仅是本发明的较佳实施例而已,并非对本发明作任何形式上的限制,虽然本发明已以较佳实施例揭露如上,然而并非用以限定本发明,任何熟悉本专业的技术人员,在不脱离本发明技术方案范围内,当可利用上述揭示的技术内容作出些许更动或修饰为等同变化的等效实施例,但凡是未脱离本发明技术方案内容,依据本发明的技术实质对以上实施例所作的任何简单修改、等同变化与修饰,均仍属于本发明技术方案的范围内。The above description is only a preferred embodiment of the present invention, and does not limit the present invention in any form. Although the present invention has been disclosed as above with preferred embodiments, it is not intended to limit the present invention. Anyone familiar with this field Those skilled in the art, without departing from the scope of the technical solution of the present invention, may use the technical content disclosed above to make some changes or modify them into equivalent embodiments with equivalent changes, but as long as they do not depart from the technical solution of the present invention, the Technical Essence Any simple modifications, equivalent changes and modifications made to the above embodiments still fall within the scope of the technical solution of the present invention.
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| CN201811126359.8ACN110236548B (en) | 2018-03-09 | 2018-03-09 | Detection device for detecting respiratory frequency |
| CN201810194475.7ACN110236547B (en) | 2018-03-09 | 2018-03-09 | Method for detecting respiratory frequency |
| Application Number | Priority Date | Filing Date | Title |
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| CN201810194475.7ACN110236547B (en) | 2018-03-09 | 2018-03-09 | Method for detecting respiratory frequency |
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| CN201811126359.8ADivisionCN110236548B (en) | 2018-03-09 | 2018-03-09 | Detection device for detecting respiratory frequency |
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| CN110236547A CN110236547A (en) | 2019-09-17 |
| CN110236547Btrue CN110236547B (en) | 2022-10-28 |
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| CN201811126359.8AActiveCN110236548B (en) | 2018-03-09 | 2018-03-09 | Detection device for detecting respiratory frequency |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201811126359.8AActiveCN110236548B (en) | 2018-03-09 | 2018-03-09 | Detection device for detecting respiratory frequency |
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| CN (2) | CN110236548B (en) |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111839489B (en)* | 2020-05-26 | 2021-04-13 | 合肥工业大学 | Non-contact physiological and psychological health detection system |
| CN112515763B (en)* | 2020-11-27 | 2021-09-10 | 中国科学院深圳先进技术研究院 | Target positioning display method, system and device and electronic equipment |
| CN114916926A (en)* | 2022-04-28 | 2022-08-19 | 西安商汤智能科技有限公司 | Respiration rate detection method, device, equipment, system and storage medium |
| CN115116146B (en)* | 2022-06-02 | 2024-12-24 | 支付宝(杭州)信息技术有限公司 | Liveness detection method, device, equipment and system |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105705089A (en)* | 2013-11-01 | 2016-06-22 | 皇家飞利浦有限公司 | System and method for determining vital sign information of a subject |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6980679B2 (en)* | 1998-10-23 | 2005-12-27 | Varian Medical System Technologies, Inc. | Method and system for monitoring breathing activity of a subject |
| EP2189943B1 (en)* | 2008-11-19 | 2014-09-24 | Brainlab AG | Detection of vitally moved regions in an analysis image |
| TR201909178T4 (en)* | 2011-10-20 | 2019-07-22 | Koninklijke Philips Nv | Device and method for tracking device movement and orientation. |
| CN107260173B (en)* | 2017-06-30 | 2019-05-10 | 大连理工大学 | A respiration measurement method based on camera and spherical markers |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105705089A (en)* | 2013-11-01 | 2016-06-22 | 皇家飞利浦有限公司 | System and method for determining vital sign information of a subject |
| Publication number | Publication date |
|---|---|
| CN110236547A (en) | 2019-09-17 |
| CN110236548B (en) | 2022-08-05 |
| CN110236548A (en) | 2019-09-17 |
| Publication | Publication Date | Title |
|---|---|---|
| CN110236547B (en) | Method for detecting respiratory frequency | |
| US9153022B2 (en) | Method and system for analyzing craniofacial complex images | |
| Eastwood et al. | Predicting sleep apnea from three-dimensional face photography | |
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| Al-Kalidi et al. | Respiratory rate measurement in children using a thermal camera | |
| Farah et al. | Respiratory rate measurement in children using a thermal imaging camera | |
| Nirmala et al. | Camera-based non-contact respiratory rate estimation | |
| Al-khalidi et al. | Tracing the region of interest in thermal human face for respiration monitoring | |
| Pavan et al. | A pilot study on wearable nasal patch sensor for assessment of breathing parameters | |
| CN114758410A (en) | Parameter detection system for identifying human body safety and health conditions | |
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