CN114176584B - Oxygen reduction event detection method, computer-readable storage medium, and embedded device - Google Patents
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Abstract
The invention provides an oxygen reduction event detection method, which comprises the following steps: acquiring a blood oxygen saturation value of a user in real time; calculating an arithmetic average value of the blood oxygen saturation value in a first preset time period according to the blood oxygen saturation value; calculating a sliding average value of the blood oxygen saturation value in a second preset time period according to the arithmetic average value; when the blood oxygen saturation value reaches a stable condition, setting the sliding average value as a detection threshold value of an oxygen reduction event; when the blood oxygen saturation value meets a first preset condition, marking the current time as the starting time of an oxygen reduction event; when the blood oxygen saturation value meets a second preset condition, marking the current time as the ending time of the oxygen reduction event; an oxygen reduction event is derived from the start time and the end time. The invention also provides a computer readable storage medium and an embedded device. The oxygen reduction event detection method effectively reduces the false detection and missing detection probability of the oxygen reduction event caused by interference, and greatly improves the accuracy of the oxygen reduction event detection.
Description
Technical Field
The present invention relates to the field of medical devices, and in particular, to an oxygen reduction event detection method, a computer-readable storage medium, and an embedded device.
Background
An oxygen-reduced event refers to an event in which the blood oxygen saturation level decreases by 4% or more from a normal value, and the duration is not less than 10 seconds. Sleep apnea hypopnea syndrome (Sleep Apnea Hypopnea Syndrome, SAHS) patients experience inadequate ventilation during sleep due to apnea or hypopnea, often accompanied by an oxygen loss event. The average number of oxygen subtractions occurring per hour during sleep is referred to as the oxygen subtractive index (oxygen desaturation index, ODI), which is an important parameter in assessing sleep quality and therapeutic efficacy in patients with sleep apnea-hypopnea syndrome.
Because the accuracy of the blood oxygen saturation value is easily affected by noise such as baseline drift, power frequency interference, myoelectric noise, motion artifact and the like, misjudgment is easily generated in the detection of the oxygen reduction event. In the prior art, a fixed blood oxygen saturation detection threshold value is generally adopted, the detection method is solidified, the complex and changeable monitoring scene cannot be adapted, and when the blood oxygen saturation value fluctuates due to body movement and other reasons of a user, the oxygen reduction event detection accuracy is not high. For example, the existing oxygen reduction event generally adopts a fixed detection threshold to detect the blood oxygen saturation value, namely when the blood oxygen saturation value is reduced by 4%, the current oxygen reduction event is judged to occur, and the detection is easily affected by interference, so that the detection effect is poor.
Therefore, how to accurately detect oxygen-reduced events is a matter of urgent need.
Disclosure of Invention
The invention provides an oxygen reduction event detection method, a computer readable storage medium and embedded equipment.
In a first aspect, an embodiment of the present invention provides an oxygen-reduced event detection method, including:
acquiring a blood oxygen saturation value of a user in real time;
calculating an arithmetic average value of the blood oxygen saturation value in a first preset time period according to the blood oxygen saturation value;
calculating a sliding average value of the blood oxygen saturation value in a second preset time period according to the arithmetic average value;
judging whether the blood oxygen saturation value is stable to reach a stable condition according to the arithmetic average value and the sliding average value;
when the blood oxygen saturation value reaches a stable condition, setting the sliding average value as a detection threshold value of an oxygen reduction event;
judging whether the blood oxygen saturation value meets a first preset condition according to the detection threshold value;
when the blood oxygen saturation value meets a first preset condition, marking the current time as the starting time of an oxygen reduction event;
judging whether the blood oxygen saturation value meets a second preset condition according to the detection threshold value;
when the blood oxygen saturation value meets a second preset condition, marking the current time as the ending time of the oxygen reduction event;
an oxygen reduction event is derived from the start time and the end time.
In a second aspect, embodiments of the present invention provide a computer readable storage medium having stored thereon program instructions of an oxygen reduction event detection method that can be loaded and executed by a processor.
In a third aspect, an embodiment of the present invention provides an embedded device, including:
a memory for storing program instructions;
and a processor for executing the program instructions to cause the embedded device to implement the oxygen reduction event detection method.
According to the oxygen reduction event detection method, the blood oxygen saturation value is obtained through the noninvasive pulse oximeter, and arithmetic average processing and moving average filtering processing are carried out on the obtained blood oxygen saturation value to obtain an arithmetic average value and a moving average value; the detection threshold value is obtained according to the arithmetic average value and the sliding average value, the occurrence of the oxygen reduction event is judged according to the detection threshold value, and meanwhile, the starting time and the ending time of the oxygen reduction event are marked, so that the false detection and the missing detection probability of the oxygen reduction event caused by interference are effectively reduced, and the accuracy of the oxygen reduction event detection is greatly improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is apparent that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained from the structures shown in these drawings without inventive labor for those skilled in the art.
Fig. 1 is a flowchart of an oxygen reduction event detection method according to a first embodiment of the present invention.
Fig. 2 is a first sub-flowchart of an oxygen reduction event detection method according to a first embodiment of the present invention.
Fig. 3 is a second sub-flowchart of the oxygen reduction event detection method according to the first embodiment of the present invention.
Fig. 4 is a sub-flowchart of an oxygen reduction event detection method according to a third embodiment of the present invention.
Fig. 5 is a schematic diagram of an internal structure of an embedded device according to a first embodiment of the present invention.
Fig. 6 is a schematic wearing view of an oximeter according to the first embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terms "first," "second," "third," "fourth" and the like in the description and in the claims of this application and in the above-described figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be implemented in other sequences than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that the description of "first", "second", etc. in this disclosure is for descriptive purposes only and is not to be construed as indicating or implying a relative importance or implying an indication of the number of technical features being indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not within the scope of protection claimed in the present invention.
Referring to fig. 1 in combination, a flowchart of a method for detecting an oxygen reduction event according to an embodiment of the invention is shown. The method for detecting the oxygen reduction event provided by the embodiment of the invention specifically comprises the following steps.
Step S101, obtaining the blood oxygen saturation value of the user in real time. In this embodiment, the blood oxygen saturation value is obtained from the oximeter by bluetooth. Specifically, the blood oxygen saturation value of the user is acquired once per second.
Step S102, calculating an arithmetic average value of the blood oxygen saturation value in a first preset time period according to the blood oxygen saturation value. In this embodiment, the first preset time period is 10s. An arithmetic mean of the blood oxygen saturation values was calculated every 10s.
Step S103, calculating a sliding average value of the blood oxygen saturation value in a second preset time period according to the arithmetic average value. Specifically, a running average of the blood oxygen saturation values in the second preset period is calculated from the arithmetic average using the window for the sequence. In this embodiment, the second preset time period is 1min. And calculating by using a sequence with a moving average window with a window size of 1min to obtain a moving average value of the blood oxygen saturation. The length of the sequence window with a window size of 1min for a moving average contains the length of time of 6 arithmetic averages.
Step S104, judging whether the blood oxygen saturation value is stable to reach a stable condition according to the arithmetic average value and the sliding average value. In this implementation, it is calculated whether the difference between the 6 arithmetic averages and the running average is within ±2%.
Step S105, when the blood oxygen saturation value reaches the stable condition, sets the sliding average value as the detection threshold of the oxygen reduction event. In this implementation, the running average is set as the detection threshold for the oxygen-reduced event when the difference between the 6 arithmetic averages and the running average is within ±2%. At this time, the blood oxygen saturation value of the user is considered to reach a stable condition.
Step S106, judging whether the blood oxygen saturation value meets a first preset condition according to the detection threshold value. Please refer to step S1061-step S1065.
In step S107, when the blood oxygen saturation value satisfies the first preset condition, the current time is marked as the start time of the oxygen reduction event.
Step S108, judging whether the blood oxygen saturation value meets a second preset condition according to the detection threshold value. Refer to step S1081-step S1085.
Step S109, when the blood oxygen saturation value meets the second preset condition, the current time is marked as the ending time of the oxygen reduction event. In this embodiment, when the blood oxygen saturation value meets the second preset condition, the blood oxygen saturation value of the user is considered to rise back, the oxygen reduction event is ended, and the ending time of the oxygen reduction event is recorded.
Step S110, obtaining an oxygen reduction event according to the starting time and the ending time.
The difference between the oxygen reduction event detection method provided by the second embodiment of the present invention and the oxygen reduction event detection method provided by the first embodiment is the oxygen reduction event detection method, and the oxygen reduction event detection method provided by the second embodiment further includes: and when the blood oxygen saturation value does not reach the stable condition, waiting for the blood oxygen saturation value to reach the stable condition.
According to the oxygen reduction event detection method, the blood oxygen saturation value is obtained through the noninvasive pulse oximeter, and arithmetic average processing and moving average filtering processing are carried out on the obtained blood oxygen saturation value to obtain an arithmetic average value and a moving average value; the detection threshold value is obtained according to the arithmetic average value and the sliding average value, the occurrence of the oxygen reduction event is judged according to the detection threshold value, and meanwhile, the starting time and the ending time of the oxygen reduction event are marked, so that the false detection and the missing detection probability of the oxygen reduction event caused by interference are effectively reduced, and the accuracy of the oxygen reduction event detection is greatly improved.
Please refer to fig. 2 in combination, which is a flowchart of sub-steps of step S106 according to an embodiment of the present invention. Step S106, judging whether the blood oxygen saturation value meets a first preset condition according to the detection threshold value, and specifically comprising the following steps.
In step S1061, a first difference between the detection threshold and the blood oxygen saturation value is calculated.
In step S1062, it is determined whether the first difference is greater than a first threshold. In this embodiment, the first threshold is 4%, and it is determined whether or not the value obtained by subtracting the blood oxygen saturation value from the detection threshold is greater than 4%.
In step S1063, when the first difference is greater than the first threshold, a first period of time is calculated in which the first difference is greater than the first threshold. When the detection threshold minus the blood oxygen saturation value is greater than 4%, a first time period is recorded in which the first difference is greater than the first threshold.
In step S1064, it is determined whether the first time period is greater than a preset first time threshold.
In step S1065, when the first time period is greater than the preset first time threshold, it is determined that the blood oxygen saturation value meets the first preset condition. In this implementation, the first time threshold is 10s. And when the first time period is greater than 10s, judging that the blood oxygen saturation value meets a first preset condition.
Please refer to fig. 3 in combination, which is a flowchart illustrating sub-steps of step S108 according to an embodiment of the present invention. Step S108, judging whether the blood oxygen saturation value meets a second preset condition according to the detection threshold value, and specifically comprising the following steps.
In step S1081, a second difference between the detection threshold and the blood oxygen saturation value is calculated.
In step S1082, it is determined whether the second difference is smaller than a second threshold. In this embodiment, the second threshold is 3%, and it is determined whether or not the value obtained by subtracting the blood oxygen saturation value from the detection threshold is less than 3%.
In step S1083, when the second difference is smaller than the second threshold, a second period of time in which the second difference is smaller than the second threshold is calculated. When the detection threshold minus the blood oxygen saturation value is less than 3%, a second time period is recorded in which the second difference is less than the second threshold.
Step S1084, determining whether the second time period is greater than a preset second time threshold.
In step S1085, when the second time period is greater than the preset second time threshold, it is determined that the blood oxygen saturation value satisfies the second preset condition. In this implementation, the second time threshold is 10s. And when the second time period is greater than 10s, judging that the blood oxygen saturation value meets a second preset condition.
Referring to fig. 4 in combination, a sub-flowchart of an oxygen reduction event detection method according to a third embodiment of the present invention is shown. The difference between the oxygen reduction event detection method provided by the third embodiment of the present invention and the oxygen reduction event detection method provided by the first embodiment is that the oxygen reduction event detection method provided by the third embodiment further includes:
in step S501, when the blood oxygen saturation value meets the first preset condition, a third period of time in which the first difference is greater than the first threshold is calculated.
Step S502, judging whether the third time period is larger than a preset third time threshold.
In step S503, when the third period is greater than the preset third time threshold, it is determined that the start time of the oxygen reduction event is invalid.
Step S504, the detection threshold is updated according to the blood oxygen saturation value. In this embodiment, the oxygen reduction event continues for a certain long time, the blood oxygen saturation value is not yet raised, and the threshold is updated when the oxygen reduction event is not considered to be valid.
In the embodiment, by carrying out the moving average filtering on the blood oxygen saturation value and combining the blood oxygen saturation reduction and rebound detection algorithm, the detection threshold value is reasonably adjusted in real time, the influence of interference is reduced, and the accuracy of oxygen reduction event detection is improved.
The invention also provides a computer readable storage medium. The computer readable storage medium has stored thereon program instructions of the above-described oxygen depletion event detection method that can be loaded and executed by a processor. Since the computer readable storage medium adopts all the technical solutions of all the above embodiments, at least all the beneficial effects brought by the technical solutions of the above embodiments are provided, and will not be described herein.
The invention also provides an embedded device 900, the embedded device 900 at least comprises a memory 901 and a processor 902. The memory 901 is used to store program instructions of the oxygen reduction event detection method. The processor 902 is configured to execute program instructions to cause the embedded device to implement the oxygen depletion event detection method described above. Please refer to fig. 5 in combination, which is a schematic diagram illustrating an internal structure of an embedded device 900 according to an embodiment of the present invention. Further, the embedded device is a sleep prescreening device, and the sleep prescreening device acquires the blood oxygen saturation value from the oximeter by utilizing Bluetooth. Further, please refer to fig. 6 in combination, which is a schematic wearing diagram of the oximeter 100 according to the first embodiment of the present invention. The oximeter 100 includes a wristband 110 worn on the wrist and a probe 120 worn on the fingertip.
The memory 901 includes at least one type of computer-readable storage medium including flash memory, a hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 901 may be an internal storage unit of the embedded device 900 in some embodiments, such as a hard disk of the embedded device 900. The memory 901 may also be an external storage device of the embedded device 900 in other embodiments, for example, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital Card (SD), a Flash memory Card (Flash Card) or the like, which are provided on the embedded device 900. Further, the memory 901 may also include both an internal storage unit and an external storage device of the embedded device 900. The memory 901 may be used to store not only application software installed in the embedded device 900 and various types of data such as program instructions of the oxygen reduction event detection method, but also data that has been output or is to be output, such as data resulting from the execution of the oxygen reduction event detection method, and the like, temporarily.
The processor 902 may be a central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor or other data processing chip in some embodiments for executing program instructions or processing data stored in the memory 901. Specifically, the processor 902 executes program instructions of the oxygen reduction event detection method to control the embedded device 900 to implement the oxygen reduction event detection method.
Further, the embedded device 900 may further include a bus 903 may be a peripheral component interconnect standard bus (peripheral component interconnect, abbreviated to PCI) or an extended industry standard architecture bus (extended industry standard architecture, abbreviated to EISA), etc. The bus may be classified as an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in fig. 5, but not only one bus or one type of bus.
Further, the embedded device 900 can also include a display component 904. The display component 904 may be an LED (Light Emitting Diode) display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display component 904 may also be referred to as a display device or display unit, as appropriate, for displaying information processed in the embedded device 900 and for displaying a visual user interface.
Further, the embedded device 900 may also include a communication component 905, where the communication component 905 may optionally include a wired communication component and/or a wireless communication component (e.g., WI-FI communication component, bluetooth communication component, etc.), typically used to establish a communication connection between the embedded device 900 and other embedded devices.
Fig. 5 shows only an embedded appliance 900 having components 901-905 and program instructions to implement the oxygen reduction event detection method, it will be understood by those skilled in the art that the structure shown in fig. 5 does not constitute a limitation of the embedded appliance 900, and may include fewer or more components than shown, or may combine certain components, or a different arrangement of components. Since the embedded device 900 adopts all the technical solutions of all the embodiments, at least the beneficial effects of the technical solutions of the embodiments are provided, and will not be described herein.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product.
The oxygen-reduced event detection method includes one or more program instructions. When loaded and executed on a device, produces, in whole or in part, a flow or function in accordance with embodiments of the present invention. The apparatus may be a general purpose computer, a special purpose computer, a computer network, or other programmable device. The program instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the program instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be stored by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid State Disk (SSD)), etc.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the above-described method embodiments, and are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods may be implemented in other ways. For example, the above-described embodiments of the oxygen-reduced event detection method are merely illustrative, e.g., the division of the units is merely a logical functional division, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, if and when such modifications and variations of the present invention fall within the scope of the claims and the equivalents thereof, the present invention is intended to encompass such modifications and variations.
The above list of preferred embodiments of the present invention is, of course, not intended to limit the scope of the invention, and equivalent variations according to the claims of the present invention are therefore included in the scope of the present invention.
Claims (8)
1. An oxygen-reduced event detection method, characterized in that the oxygen-reduced event detection method comprises:
periodically acquiring a blood oxygen saturation value of a user;
calculating an arithmetic average value of the blood oxygen saturation value in a first preset time period according to the blood oxygen saturation value;
calculating a sliding average value of the blood oxygen saturation values in a second preset time period according to the arithmetic average value, wherein the second preset time period comprises a plurality of first preset time periods, and calculating the sliding average value of the blood oxygen saturation values in the second preset time period according to the arithmetic average value in the second preset time period by utilizing a sequence window;
judging whether the blood oxygen saturation value reaches a stable condition according to the arithmetic average value and the sliding average value, specifically: calculating the difference between each arithmetic mean value and the sliding mean value in a second preset time period; judging whether the difference value between each arithmetic mean value and the sliding mean value in the second preset time period is within a stable value range or not; when the difference value between each arithmetic average value and the sliding average value in the second preset time period is in a stable value range, determining that the blood oxygen saturation value reaches a stable condition;
when the blood oxygen saturation value reaches a stable condition, setting the sliding average value as a detection threshold value of an oxygen reduction event;
judging whether the blood oxygen saturation value meets a first preset condition according to the detection threshold value, specifically comprising: calculating a first difference between the detection threshold and the blood oxygen saturation value; judging whether the first difference value is larger than a first threshold value or not; calculating a first time period when the first difference is greater than a first threshold when the first difference is greater than the first threshold; judging whether the first time period is larger than a preset first time threshold value or not; when the first time period is larger than a preset first time threshold, judging that the blood oxygen saturation value meets a first preset condition;
when the blood oxygen saturation value meets the first preset condition, marking the current time as the starting time of an oxygen reduction event;
judging whether the blood oxygen saturation value meets a second preset condition according to the detection threshold value, specifically: calculating a second difference between the detection threshold and the blood oxygen saturation value; judging whether the second difference value is smaller than a second threshold value or not; calculating a second time period when the second difference is less than a second threshold value; judging whether the second time period is larger than a preset second time threshold; and when the second time period is greater than a preset second time threshold, determining that the blood oxygen saturation value meets a second preset condition;
when the blood oxygen saturation value meets the second preset condition, marking the current time as the ending time of the oxygen reduction event;
and obtaining an oxygen reduction event according to the starting time and the ending time.
2. The oxygen-reduced event detection method according to claim 1, further comprising: and when the blood oxygen saturation value does not reach the stable condition, waiting for the blood oxygen saturation value to reach the stable condition.
3. The oxygen-reduced event detection method according to claim 1, further comprising:
when the blood oxygen saturation value meets the first preset condition, calculating a third time period when the first difference value is larger than a first threshold value;
judging whether the third time period is larger than a preset third time threshold value or not;
when the third time period is greater than a preset third time threshold, determining that the starting time of the oxygen reduction event is invalid;
and updating the detection threshold according to the blood oxygen saturation value.
4. The oxygen-reduced event detection method according to claim 1, wherein a sliding average of blood oxygen saturation values in a second preset period of time is calculated from the arithmetic average using a window for a sequence.
5. A computer readable storage medium having stored thereon program instructions for loading and executing the oxygen reduction event detection method according to any one of claims 1 to 4.
6. An embedded device, the embedded device comprising:
a memory for storing program instructions; and
a processor, configured to execute the program instructions to cause the embedded device to implement the oxygen reduction event detection method according to any one of claims 1 to 4.
7. The embedded device of claim 6, wherein the embedded device is a sleep prescreening device that obtains the blood oxygen saturation value from an oximeter using bluetooth.
8. The embedded device of claim 7, wherein the oximeter comprises a wristband worn at the wrist and a probe worn at the fingertip.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7371220B1 (en) * | 2004-06-30 | 2008-05-13 | Pacesetter, Inc. | System and method for real-time apnea/hypopnea detection using an implantable medical system |
| CN101904747A (en) * | 2009-06-05 | 2010-12-08 | 雷斯梅德有限公司 | Detect the insufficient Apparatus and method for of respiratory air flow |
| CN109691990A (en) * | 2017-10-20 | 2019-04-30 | 纳智源科技（唐山）有限责任公司 | Sleep apnea low detection device and method |
| CN109924980A (en) * | 2017-12-19 | 2019-06-25 | 北京怡和嘉业医疗科技股份有限公司 | Respiration case decision-making system and sleep monitor |
| CN111035395A (en) * | 2020-01-03 | 2020-04-21 | 上海市第六人民医院 | Blood oxygen saturation signal analysis method and device, computer equipment and storage medium |
| CN111466906A (en) * | 2019-01-24 | 2020-07-31 | 北京宁禾科技有限公司 | Wearable sleep monitor and monitoring method |
| CN111938576A (en) * | 2019-05-14 | 2020-11-17 | 周常安 | Sleep physiological system and sleep warning method |
| CN112930139A (en) * | 2018-09-17 | 2021-06-08 | 脉源有限公司 | System and method for analyzing sleep disordered breathing events |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016042503A1 (en) * | 2014-09-16 | 2016-03-24 | Truphatek International Ltd. | Imaging device and data management system for medical device |
| JP2017164274A (en) * | 2016-03-16 | 2017-09-21 | セイコーエプソン株式会社 | Information processing system, information processing device, acclimation index display device and method for controlling information processing system |
| WO2018136821A1 (en) * | 2017-01-20 | 2018-07-26 | Stryker Corporation | Systems and methods of managing and evaluating airway procedures |
-
2021
- 2021-12-29 CN CN202111647478.XA patent/CN114176584B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7371220B1 (en) * | 2004-06-30 | 2008-05-13 | Pacesetter, Inc. | System and method for real-time apnea/hypopnea detection using an implantable medical system |
| CN101904747A (en) * | 2009-06-05 | 2010-12-08 | 雷斯梅德有限公司 | Detect the insufficient Apparatus and method for of respiratory air flow |
| CN109691990A (en) * | 2017-10-20 | 2019-04-30 | 纳智源科技（唐山）有限责任公司 | Sleep apnea low detection device and method |
| CN109924980A (en) * | 2017-12-19 | 2019-06-25 | 北京怡和嘉业医疗科技股份有限公司 | Respiration case decision-making system and sleep monitor |
| CN112930139A (en) * | 2018-09-17 | 2021-06-08 | 脉源有限公司 | System and method for analyzing sleep disordered breathing events |
| CN111466906A (en) * | 2019-01-24 | 2020-07-31 | 北京宁禾科技有限公司 | Wearable sleep monitor and monitoring method |
| CN111938576A (en) * | 2019-05-14 | 2020-11-17 | 周常安 | Sleep physiological system and sleep warning method |
| CN111938572A (en) * | 2019-05-14 | 2020-11-17 | 周常安 | Sleep physiological system |
| CN111035395A (en) * | 2020-01-03 | 2020-04-21 | 上海市第六人民医院 | Blood oxygen saturation signal analysis method and device, computer equipment and storage medium |
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