Method and Apparatus for Effective Detection of Respiratory Blockage Using CO2 Monitor
20200015721 ยท 2020-01-16
Inventors
Cpc classification
A61B5/08
HUMAN NECESSITIES
A61B5/4836
HUMAN NECESSITIES
A61B10/00
HUMAN NECESSITIES
A61B5/746
HUMAN NECESSITIES
International classification
Abstract
A system and method are provided to detect a possible respiratory blockage by using personalized carbon dioxide (CO.sub.2) concentration change patterns without concerning its absolute values. The personalized change patterns can intelligently learn new change pattern to increase its accuracy. Advanced pattern recognition is used to detect abnormal CO.sub.2 concentration change pattern by comparing to personalized patterns, and allowing the system to trigger alarm to alert a caregiver or a guardian.
Claims
1. A method for detecting respiratory blockage, comprising: attaching a housing with a carbon dioxide (CO.sub.2) sensor to a region of a person's skin; warming said region of said person's skin to a preset temperature; collecting non-dissolved CO.sub.2 gas emitted from said region of said person's skin; determining, by a processing circuit, the change pattern of said collected non-dissolved CO.sub.2 gas by analyzing its concentration waveforms and slopes without relying on its absolute CO.sub.2 concentration values; comparing the determined change pattern of said collected non-dissolved CO.sub.2 gas to a set of stored personalized CO.sub.2 change patterns; and signaling an alarm when the difference from said compared result is beyond a preset threshold.
2. The method of claim 1, wherein said analyzing waveforms and slopes of said collected non-dissolved CO.sub.2 includes tracking the occurrence of a beginning slope and an ending slope of a CO.sub.2 concentration curve and the time between said beginning slope and said ending slope.
3. The method of claim 1, wherein said set of personalized CO.sub.2 change patterns include a plurality of CO.sub.2 change patterns created under different types of personal activities.
4. The method of claim 3, wherein said different types of personal activities include quiet activities, mild physical activities and vigorous physical activities.
5. The method of claim 3, further comprising using heart rate change information to identify activity and select appropriate activity type of personalized CO.sub.2 change patterns for comparison.
6. The method of claim 1, further comprising adding said change pattern of said collected non-dissolved CO.sub.2 gas to said set of stored personalized CO.sub.2 change patterns when said alarm is determined to be false.
7. A system for detecting respiratory blockage, comprising a housing with a carbon dioxide (CO.sub.2) sensor for attaching to a region of a person's skin; a device in said housing warming said region to a temperature to a preset temperature; an vacuum pump collecting said non-dissolved CO2 gas emitted from said region of said person's skin for CO2 sensor's detection; a processing circuit connected to said CO2 sensor and operates to: determine the change pattern of said collected non-dissolved CO2 gas by analyzing the waveforms and slopes of said collected non-dissolved CO2 concentration without relying on its absolute CO2 concentration values; compare the determined changed pattern of said collected non-dissolved CO2 gas to a set of stored personalized CO2 change patterns; and trigger an alarm when the difference from said compared result is beyond a preset threshold.
8. The system of claim 7, wherein said analysis of waveforms and slopes of said collected non-dissolved CO.sub.2 includes tracking the occurrence of a beginning slope and an ending slope of a CO.sub.2 concentration curve and the time between said beginning slope and said ending slope.
9. The system of claim 7, wherein said set of personalized CO.sub.2 change patterns include a plurality of CO.sub.2 change patterns created under different types of personal activities.
10. The system of claim 9, wherein said different types of personal activities include quiet activities, mild physical activities and vigorous physical activities.
11. The system of claim 7, further comprising a heart rate sensor configured to detect heart rate change to identify activity and select appropriate activity type of personalized CO.sub.2 change patterns for comparison.
12. The system of claim 7, wherein said system adds said change pattern of said collected non-dissolved CO.sub.2 gas to said set of stored personalized CO.sub.2 change patterns when said alarm is determined to be false.
Description
BRIEF DESCRIPTION OF DRAWINGS
[0006] The present disclosure is illustrated by way of example, and not by way of limitation in the figures of the accompanying drawings and in which like reference numerals refer to similar elements and in which:
[0007]
[0008]
[0009]
[0010]
[0011]
[0012]
[0013]
DETAILED DESCRIPTION
[0014] It is desirable to have a wearable, portable monitor that can monitor internal blood CO.sub.2 levels of humans in order to prevent deaths caused by respiratory blockage, such as by choking or by asthma. Currently, there are no known device designs that allow continuous monitoring of the blood CO.sub.2 levels of a patient or individual outside of an intensive care unit or by allowing individuals to partake in everyday activities, and this disclosure is aimed at solving this problem. In addition, the present disclosure tries to overcome the problem of residual CO.sub.2 from environment when using CO.sub.2 sensors to detect diffused CO.sub.2 emitted from a person's skin by not relying on its absolute concentration values.
[0015] In the following description, numerous specific details are set forth to provide a thorough understanding of the methods and mechanisms presented herein. However, one having ordinary skill in the art should recognize that the various embodiments may be practiced without these specific details. In some instances, well-known structures, components, signals, computer program instructions, and techniques have not been shown in detail to avoid obscuring the approaches described herein. It will be appreciated that for simplicity and clarity of illustration, elements shown in the figures have not necessarily been drawn to scale. For example, the dimensions of some of the elements may be exaggerated relative to other elements.
Advantages of Measuring Arterial pCO.sub.2
[0016] The analysis of the partial pressure of carbon dioxide in arterial blood, pCO.sub.2, is of great significance in medical diagnosis because pCO.sub.2 is an indicator of alveolus ventilation and the acid-base balance of the human body. In particular, the continuous monitoring of arterial pCO.sub.2 is essential for surgical and serious patients who depend on an artificial ventilator. However, the blood-sampling method has restrictions, which makes it very invasive to patients, and needs much time for analysis because blood is directly obtained from the human body. In other cases of emergency in which patients require noninvasive analysis, arterial p CO.sub.2, is inferred from end-tidal carbon dioxide, EtC02, analysis, which does not accurately determine the arterial pC02 and is very inconvenient because patients should breathe through a catheter. On the other hand, it is known that transcutaneous pC02 measurement results agree with those of arterial blood pC02 measurement, which is determined by blood-sampling method. Moreover, it has merits such as the arterial pC02 in a capillary vessel can be measured in real time.
Basic Components of a CO.SUB.2 .Monitor System
[0017]
Mechanism of Respiratory Blockage Detection
[0018] In order to trigger alarm for abnormal CO.sub.2 changes, the detected CO.sub.2 level does not have to be accurate in its absolute value but needs to be consistent. Therefore, a high temperature may not be necessary to obtain a large amount of diffused CO.sub.2 gas, and thus a lower temperature of 40 C. or below may be sufficient. Consequently, the CO.sub.2 monitor system can be worn by an individual for a considerable time or even 24 hours without causing any discomfort.
[0019] When a person is in healthy condition and behaving normally, the detected pCO.sub.2 level should stay roughly the same. It may also move to a different level and then stabilize when the person engages in a different activity, such as dancing, walking or exercise. However, when a respiratory blockage occurs, the detected pCO.sub.2 level would show a continuously changing pattern as the arterial CO.sub.2 continues to build up, such as an upward trend. It is this changing pattern that helps to identify the early sign of respiration problem. Since the CO.sub.2 change is more pronounced than the O.sub.2 change when a person experiences a respiration problem, CO.sub.2 detection would be more effective in achieving an early detection of the problem.
CO.SUB.2 .Measurement and Data
[0020]
[0021] In
[0022] Typically, the CO.sub.2 concentration of calibrated value to open air is around 400 parts per million (ppm) at sea level as shown in section 202 of
[0023] The CO.sub.2 concentration values in
[0024] In order to detect the changing pattern or trend of CO.sub.2 level, a moving average may be used for this purpose. The moving average calculates an average value of a subset of data within a certain period of time or window, for example, the data collected within the past 2 seconds or 5 seconds. The calculation repeats on different subsets of data as the window moves (i.e. center of the subset changes). To make the CO.sub.2 monitor system more sensitive to the change or shorter trend, the system can be configured to use a smaller window. Likewise, the CO.sub.2 monitor system can be configured to use a larger window to detect longer trend.
[0025] Alternatively, the slopes of a changing curve of CO.sub.2 level may be used. For example, the beginning slope and the ending slope of a curve together with the time between these two slopes may be used to recognize the trend of CO.sub.2 level change. Typically, the CO.sub.2 curve of a vigorous activity is steep and stabilizes within a short period of time. In addition to the previously discussed methods, other methods for detecting CO.sub.2 level change may be contemplated.
[0026] Since each person may have unique CO.sub.2 level patterns, the CO.sub.2 monitor system may create a personalized database for each user and use advanced pattern recognition techniques to quickly detect an abnormal CO.sub.2 level change. In one embodiment, the CO.sub.2 monitor system may request a user to perform a few basic daily activities such as quite activity (e.g. lying still), mild activity (e.g. walking), and vigorous activity (e.g. running) for one to two minutes each. Then the system can record CO.sub.2 level patterns associated with these activities for the particular user and store as a personalized database for future comparison. In another embodiment, the CO.sub.2 monitor system may intelligently learn the user's daily activities through the user's interaction (e.g. when user indicates a false alarm) and categorize the corresponding CO.sub.2 level patterns for future use, to be illustrated later.
Configuration Modes of CO.SUB.2 .Monitor System
[0027] The CO.sub.2 monitor system 100 may be configured to provide different levels of alerts when detecting a likely respiratory problem. In one embodiment, as shown in
[0028] In
[0029] In another embodiment, as shown in
[0030] In
Consideration of Human Factors
[0031] As discussed earlier, different human activities may create different CO.sub.2 level and one factor that associates with these activities is the heart rate. Therefore, in one embodiment, the CO.sub.2 monitor system may incorporate a heart rate sensor to help interpret CO.sub.2 level changes besides checking personalized CO.sub.2 pattern database. For example, when heart rate increases, decreases or stay constant, there will be corresponding changes in patterns of CO.sub.2 level, which may be stored as standard patterns. If a detected CO.sub.2 level pattern is different from expected patterns (either standard patterns or personalized patterns or both), it is likely that respiratory problem has occurred and an alarm may be triggered.
[0032] At step 502, the CO.sub.2 monitor system incorporates some standard heart rate CO.sub.2 patterns that normally occur in human body. At step 504, the system pre-records some personalized CO.sub.2 patterns. By taking into account the heart rate change of the user to further supplement the personalized patterns, the system has further knowledge about the activities of the user and can select the appropriate pattern category, such as quiet, mild or vigorous category, for comparison. Alternatively, the system can separate these standard heart rate patterns and personalized patterns, and allows to select either one for use. At step 506, the system monitors and detects any CO.sub.2 pattern changes in the user's body. At step 508, the system compares the monitored pattern to the hybrid patterns to detect any deviation. At step 510, if there is a match, the system continues to monitor body CO.sub.2 pattern change. If there is a mismatch or substantial difference, the system triggers an alarm at 512. At step 514, a caregiver or a guardian or the user can check whether it is a false alarm. If it is a false alarm, the user can simply acknowledge and allow the system to add the pattern to the personalized database, as in step 504. If it is not a false alarm, the emergency alarm has achieved its purpose at step 516.
[0033] In addition to human activities, the easy use and comfort of a CO.sub.2 monitor system are important to a wearer of such device. Besides miniaturizing the monitor system (or device) to allow a person to wear on any part of its body without noticing it, the comfort of using the device may affect a person's willingness. In one embodiment, the skin-mount pad may include several small heating apparatuses that can turn on and off alternatively to achieve constant temperature around the skin while reducing a prolonged heating of a particular spot on skin. For example, four small heating apparatuses may be used and each one may be turned on for an hour and rotate around these apparatus to avoid heating the same spot on wearer's skin.
Consideration of Environmental Factors
[0034] Since temperature and air pressure may affect CO.sub.2 concentration level, some compensation mechanisms may be used. For example, the CO.sub.2 monitor system may incorporate a temperature/pressure sensor which helps take environmental factors into account. The environmental factors may include ambient temperature change (e.g. room temperature), air pressure change (e.g. due to altitude), etc. For the purpose of consistency, in one embodiment, the CO.sub.2 monitor system may have an adjustable heating apparatus that can sense the ambient temperature and adjust its heating temperature accordingly. For example, when ambient temperature is lower than 40 C., the heating apparatus can increase heating temperature to keep the temperature inside skin-mount pad close to 40 C. for sufficient CO.sub.2 gas diffusion. However, when the ambient temperature is above 40 C., the heating apparatus may turn off and/or take into account the CO.sub.2 level change due to higher ambient temperature when determining the CO.sub.2 level pattern. Similarly, higher or lower air pressure may also change the CO.sub.2 concentration level. However, the change is minor and the long term CO.sub.2 level will stabilize and should not affect the detection of respiratory blockage.
[0035]
[0036] In the foregoing description, embodiments of the present disclosure have been described with reference to numerous specific details that may vary from implementation to implementation. The descriptions and drawings are, accordingly, to be regarded in an illustrative rather than a restrictive sense. The sole and exclusive indicator of the scope of the present disclosure, and what is intended by the applicants to be the scope of the present disclosure, is the literal and equivalent scope of the set of claims that issue from this application, in the specific form in which such claims issue, including any subsequent correction.