Signal correction method and smart wearable device

Abstract

The invention discloses a smart wearable device with a signal correction function and a signal correction method thereof, which are applied to limbs of a user. The smart wearable device includes a physiological signal sensor, a pressure sensor, and an arithmetic processor. The physiological signal sensor is used for being attached to a detected area of the limb to detect a physiological signal of the limb. The pressure sensor is arranged near the physiological signal sensor to detect the pressure value of the detected area. The arithmetic processor is electrically connected with the physiological signal sensor and the pressure sensor. The arithmetic processor optimizes the physiological signal when the pressure value exceeds a predetermined pressure threshold. According to the invention, the detection result of the physiological signal sensor is optimized by using the pressure sensor and / or the acceleration sensor, so that the signal abnormity of the smart ring caused by the posture of the user can be effectively avoided, and the credibility and reliability of the smart wearable device are improved.

Description

Technical Field

[0001] The present invention relates to a signal correction method and an intelligent wearable device, and particularly to a signal correction method capable of correcting physiological signals affected by pressure and an intelligent wearable device related thereto. Background Art

[0002] Traditional smart rings use optical sensors to detect the blood oxygen value or heart rate value of the user. However, when wearing a smart ring for a long time, the user may heavily press the smart ring due to a change in posture, such as when sleeping or resting; when the user's palm heavily presses the smart ring, the skin tissue of the finger is deformed, which will greatly reduce the detection accuracy of the optical sensor. The smart ring constantly emits incorrect physiological signal detection results, which will affect the user's confidence in the product quality. Therefore, how to design a physiological signal detection device that can optimize the detection result for external pressure is one of the development goals of the related medical device industry. Summary of the Invention

[0003] The present invention relates to a signal correction method capable of correcting physiological signals affected by pressure and an intelligent wearable device related thereto.

[0004] The present invention further discloses an intelligent wearable device with a signal correction function and is applied to a limb of a user. The intelligent wearable device includes a physiological signal sensor, a pressure sensor, and an arithmetic processor. The physiological signal sensor is used to attach to the measured area of the limb to detect its physiological signal. The pressure sensor is disposed near the physiological signal sensor to detect the pressure value of the measured area. The arithmetic processor is electrically connected to the physiological signal sensor and the pressure sensor. The arithmetic processor performs an optimization process on the physiological signal when the pressure value exceeds a predetermined pressure threshold.

[0005] The present invention also discloses that the pressure sensor is adjacent to the outer edge of the physiological signal sensor to respectively and simultaneously detect the physiological signal and the pressure value of the measured area with the physiological signal sensor.

[0006] The present invention also discloses that the arithmetic processor marks the physiological signal detected by the physiological signal sensor during the process that the pressure value exceeds the predetermined pressure threshold, and issues a warning message associated with the marked physiological signal. In addition, the arithmetic processor replaces the physiological signal detected during the process that the pressure value exceeds the predetermined pressure threshold with the physiological signal detected by the physiological signal sensor before the pressure value exceeds the predetermined pressure threshold.

[0007] The present invention also discloses that when the pressure value exceeds the predetermined pressure threshold and the change amplitude of the physiological signal exceeds the predetermined physiological threshold, the arithmetic processor further performs optimization processing on the physiological signal. Alternatively, when the duration during which the pressure value exceeds the predetermined pressure threshold and the change amplitude of the physiological signal exceeds the predetermined physiological threshold exceeds a predetermined duration, the arithmetic processor further performs optimization processing on the physiological signal. Alternatively, when the duration during which the pressure value exceeds the predetermined pressure threshold reaches the predetermined duration, the arithmetic processor issues a warning message associated with the duration.

[0008] The present invention also discloses that the smart wearable device further includes a plurality of physiological signal sensors and a plurality of pressure sensors. Each pressure sensor is adjacent to the outer edge of its corresponding physiological signal sensor and is arranged in pairs to respectively and simultaneously detect the physiological signal and the pressure value of its corresponding measurement area.

[0009] The present invention also discloses that the smart wearable device further includes an acceleration sensor electrically connected to the arithmetic processor to detect the acceleration value of the measurement area. When the pressure value exceeds the predetermined pressure threshold and the acceleration value exceeds the predetermined acceleration threshold, the arithmetic processor performs optimization processing on the physiological signal.

[0010] The present invention also discloses a signal correction method for correcting the physiological signal detected by the smart wearable device in the measurement area of the user's limb. The signal correction method includes analyzing the pressure value detected by the pressure sensor of the smart wearable device in the measurement area, and when it is determined that the pressure value exceeds the predetermined pressure threshold, performing optimization processing on the physiological signal detected by the physiological signal sensor of the smart wearable device in the measurement area to improve the accuracy of the physiological signal.

[0011] The smart wearable device of the present invention uses the detection results of the pressure sensor and the acceleration sensor to assist in correcting the physiological signal obtained by the physiological signal sensor; when the pressure value of the pressure sensor and / or the acceleration value of the acceleration sensor is too large, it indicates that the smart wearable device is in an abnormal use state. Therefore, the physiological signal generated during this period can be marked as an outlier or directly replaced with the calculated value of the normal physiological signal. The pressure sensor can be a capacitive pressure sensor, a resistive pressure sensor or a piezoelectric pressure sensor, as long as it can be placed in the housing of the smart wearable device and provides the required pressure detection accuracy, it falls within the scope of application of the present invention. The present invention uses the pressure sensor and / or the acceleration sensor to perform optimization processing on the detection results of the physiological signal sensor, which can effectively avoid signal abnormalities caused by the user's posture of the smart ring, thereby improving the credibility and reliability of the smart wearable device. Brief Description of the Drawings

[0012] Figure 1 andFigure 2 Structural cross-sectional views of the intelligent wearable device according to different embodiments of the present invention.

[0013] Figure 3 Schematic diagram of the change of the physiological signal detected by the physiological signal sensor according to an embodiment of the present invention.

[0014] Figure 4 Flowchart of the signal correction method according to an embodiment of the present invention.

[0015] Among them, the reference numerals are explained as follows:

[0016] 10 Intelligent wearable device

[0017] 12 Housing

[0018] 14 Circuit board

[0019] 16 Power storage element

[0020] 18, 18A, 18B Physiological signal sensor

[0021] 20 Pressure sensor

[0022] 22 Acceleration sensor

[0023] 24 Operation processor Detailed implementation manners

[0024] Please refer to Figure 1 and Figure 2 , Figure 1 and Figure 2 Structural cross-sectional views of the intelligent wearable device 10 according to different embodiments of the present invention. The intelligent wearable device 10 is applied to the user's limb, such as finger, wrist, arm, forehead, neck, leg, etc., to detect the user's physiological signal. Figure 1 and Figure 2 In the implementation aspects of and , the intelligent wearable device 10 is designed as a ring, but the actual application is not limited thereto. In addition, the intelligent wearable device 10 has a variety of sensors, which can be used to detect the user's usage state and determine whether to enable the signal correction function to adjust the detected physiological signal, so as to effectively improve the detection accuracy of the intelligent wearable device 10.

[0025] The intelligent wearable device 10 may selectively include a housing 12, a circuit board 14, a power storage element 16, a physiological signal sensor 18, a pressure sensor 20, an acceleration sensor 22, and an operation processor 24. The housing 12 is used to accommodate other electronic components; Figure 1 and Figure 2Taking the implementation aspect as an example, when the smart wearable device 10 is designed as a ring, the housing 12 is an annular housing with a radial dimension approximately equal to the user's finger. The circuit board 14 can be a flexible circuit board distributed at different positions within the housing 12, or it can be multiple rigid circuit boards electrically connected to each other using flexible cables. Its variation can be determined according to design requirements. The power storage element 16 is used to supply power to other electronic components.

[0026] The number of physiological signal sensors 18 will depend on design requirements. As Figure 1 shown in the implementation aspect, the smart wearable device 10 can have multiple physiological signal sensors 18, such as a transmissive physiological signal sensor 18A and a reflective physiological signal sensor 18B. The smart wearable device 10 may also have only a single physiological signal sensor 18, such as Figure 2 the reflective physiological signal sensor shown; however, in actual applications, it is not limited to this. The single physiological signal sensor 18 can also be a transmissive physiological signal sensor. In the present invention, the physiological signal sensor 18 is used to attach to the measured area of the user's limb to detect its physiological signals, such as blood oxygen value or heart rate value; the measured area refers to the skin area where the smart wearable device 10 is worn.

[0027] The smart wearable device 10 is usually worn on the user's limb for a long time. If the physiological signal sensor 18 is heavily pressed due to the user's posture change, it will affect the detection accuracy of the physiological signal. Therefore, in the present invention, a pressure sensor 20 is provided near the physiological signal sensor 18 to detect the pressure value of the measured area. The number of pressure sensors 20 will correspond to the number of physiological signal sensors 18, and each pressure sensor 20 will be adjacent to the outer edge of the corresponding physiological signal sensor 18 to be arranged in pairs, used to separately detect the physiological signal and pressure value of its measured area.

[0028] In addition, the present invention can also selectively use an acceleration sensor 22 to detect the acceleration value of the measured area. The arithmetic processor 24 is arranged on the circuit board 14 and electrically connected to the physiological signal sensor 18, the pressure sensor 20, and the acceleration sensor 22. The arithmetic processor 24 can immediately analyze the pressure value provided by the pressure sensor 20 and the acceleration value provided by the acceleration sensor 22, and optimize the physiological signal when the pressure value and / or acceleration value is abnormal, so that the smart wearable device 10 can improve the detection accuracy of physiological applications such as blood oxygen value or heart rate value.

[0029] Please refer to Figure 3 and Figure 4 , Figure 3 which is a schematic diagram of the change of the physiological signal detected by the physiological signal sensor 18 in the embodiment of the present invention, Figure 4 and Figure 4The described signal correction method can be applied to Figure 1 the Figure 2 intelligent wearable device 10 shown. As Figure 3 shown, the physiological signal is at a high level in the first stage of the detection process and meets the normal signal standard; however, within a certain period of time, such as the dotted rectangle, the physiological signal will change violently and drop to a low level, meaning that its change amplitude exceeds the predetermined physiological threshold. Therefore, the signal correction method of the present invention will perform optimization processing on the abnormal physiological signal during this period.

[0030] First, step S100 is executed to obtain the original physiological signal detected by the physiological signal sensor 18 from the measured area of the user's limb and store it immediately. Then, steps S102 and S104 are executed to obtain the pressure value detected by the pressure sensor 20 in the measured area and compare the pressure value with the predetermined pressure threshold. Among them, the value of the predetermined pressure threshold will be determined according to factors such as the detection sensitivity of the pressure sensor 20 and the body type characteristics of the user, which will not be elaborated here.

[0031] If the pressure value is less than or equal to the predetermined pressure threshold, it means that the intelligent wearable device 10 is not under excessive heavy pressure, so step S106 is executed to output the original physiological signal provided by the physiological signal sensor 18. If the pressure value exceeds the predetermined pressure threshold, it means that the intelligent wearable device 10 may be under heavy pressure, so step S108 is continued to compare the change amplitude of the original physiological signal at the same time point or within the same time period with the predetermined physiological threshold. If the change amplitude of the original physiological signal is less than or equal to the predetermined physiological threshold, it means that the detection accuracy of the physiological signal sensor 18 is not affected, so step S106 can be executed to output the original physiological signal provided by the physiological signal sensor 18.

[0032] If the change amplitude of the original physiological signal exceeds the predetermined physiological threshold, it means that the detection accuracy of the physiological signal sensor 18 may be affected, and step S110 will be executed to compare the duration during which the change amplitude of the physiological signal exceeds the predetermined physiological threshold with the predetermined duration. If the duration is less than or equal to the predetermined duration, it means that the detection abnormality of the physiological signal sensor 18 can be classified as a temporary error interference, and step S106 can be executed to output the original physiological signal provided by the physiological signal sensor 18. If the duration exceeds the predetermined duration, it means that the physiological signal sensor 18 has a detection abnormality, so step S112 can be executed to perform optimization processing on the original physiological signal to improve the detection accuracy of the physiological signal of the intelligent wearable device 10. The values of the predetermined physiological threshold and the duration will be determined according to factors such as the detection sensitivity of the physiological signal sensor 18, which will not be elaborated here.

[0033] Step S112 can provide multiple types of optimization processes. One of the optimization processes is to mark the original physiological signals that occur during the process when the pressure value exceeds a predetermined pressure threshold, the change amplitude of the physiological signal exceeds a predetermined physiological threshold, and the duration exceeds a predetermined duration. For example, Figure 3 the abnormal physiological signals marked by the dotted rectangular boxes shown are marked, and a warning message associated with the marked physiological signals is issued to inform the user that this segment of abnormal physiological signals may not be included in the reference. The warning message can be a visual warning, an auditory warning, or a tactile warning. Therefore, the smart wearable device 10 can be correspondingly configured with warning interfaces such as a display panel, a speaker, or a piezoelectric module, and its changes can be determined according to design requirements.

[0034] Another optimization process is to mark the original physiological signals that occur during the process when the pressure value exceeds a predetermined pressure threshold, the change amplitude of the physiological signal exceeds a predetermined physiological threshold, and the duration exceeds a predetermined duration. For example, Figure 3 the abnormal physiological signals marked by the dotted rectangular boxes shown; then, use the original physiological signals detected before this process instantaneously stored in step S100, such as Figure 3 the dotted oval boxes shown, and then use the normal physiological signals in the dotted oval boxes to replace the abnormal physiological signals in the dotted rectangular boxes, so that the smart wearable device 10 does not provide abrupt and incorrect physiological detection results. In other words, the smart wearable device 10 can calculate operation values such as the average and median of the physiological signals in the normal cycle to replace the abnormal physiological signals in the abnormal cycle.

[0035] It should be noted in particular that Figure 4 the signal correction method shown is only one implementation aspect of the smart wearable device 10, but the actual application is not limited to this. For example, in other possible variant aspects, when step S104 determines that the pressure value exceeds the predetermined pressure threshold, step S112 can be directly executed to optimize the original physiological signals; or, when step S108 determines that the change amplitude of the original physiological signal exceeds the predetermined physiological threshold, step S112 can also be directly executed to optimize the original physiological signals. Therefore, steps S108 and S110 are optional steps and can be simplified and deleted according to design requirements.

[0036] In addition, the signal correction method of the present invention can further calculate the duration during which the pressure value exceeds the predetermined pressure threshold in step S104. If the duration is less than or equal to the predetermined duration, it indicates that the physiological signal sensor 18 may generate abnormal physiological signals due to the posture change of the user, and the abnormal physiological signals can return to normal after the user changes the posture; if the duration reaches the predetermined duration, it may be that the smart wearable device 10 is worn on the wrong limb of the user. For example, if the smart wearable device 10 is designed as a ring to be worn on the ring finger but is wrongly worn on the middle finger, it will cause the physiological signal sensor 18 to continuously generate abnormal physiological signals. Therefore, at this time, a warning message associated with the duration during which the pressure value exceeds the predetermined pressure threshold reaching the predetermined duration can be issued to remind the user whether the finger is worn wrongly or the finger is pressed by a heavy object. The time length of the predetermined duration can be set by the user himself or be the factory default value of the smart wearable device 10.

[0037] The acceleration sensor 22 is an optional accessory used to assist the pressure sensor 20 to improve the detection accuracy of the physiological signal sensor 18; for example, in step S104, when the pressure value exceeds the predetermined pressure threshold and the acceleration value obtained by the acceleration sensor 22 detecting the measured area exceeds the predetermined acceleration threshold, step S108 can be executed or directly jump to step S112. The value of the predetermined acceleration threshold will depend on factors such as the detection sensitivity of the acceleration sensor 22 and the operating habits of the user, and will not be elaborated here.

[0038] In summary, the smart wearable device of the present invention uses the detection results of the pressure sensor and the acceleration sensor to assist in correcting the physiological signals obtained by the physiological signal sensor; if the pressure value of the pressure sensor and / or the acceleration value of the acceleration sensor is too large, it indicates that the smart wearable device is in an abnormal use state. Therefore, the physiological signals generated during this period can be marked as abnormal values or directly replaced with the calculated values of normal physiological signals. The pressure sensor can be a capacitive pressure sensor, a resistive pressure sensor or a piezoelectric pressure sensor, as long as it can be placed in the housing of the smart wearable device and provide the standard pressure detection accuracy, it belongs to the application scope of the present invention. Compared with the known technology, the present invention optimizes the detection results of the physiological signal sensor by using the pressure sensor and / or the acceleration sensor, which can effectively avoid the signal abnormality caused by the user's posture of the smart ring, thereby improving the credibility and reliability of the smart wearable device.

[0039] The above are only the preferred embodiments of the present invention and are not used to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A smart wearable device with a signal correction function, which is applied to the limb of a user, and is characterized in that, The intelligent wearable device includes: A physiological signal sensor for attaching to the measured area of the limb to detect its physiological signal; A pressure sensor disposed near the physiological signal sensor to detect the pressure value of the measured area; and An arithmetic processor electrically connected to the physiological signal sensor and the pressure sensor, and the arithmetic processor performs optimization processing on the physiological signal when the pressure value exceeds a predetermined pressure threshold.

2. The intelligent wearable device according to claim 1, wherein The pressure sensor is adjacent to the outer edge of the physiological signal sensor to separately and simultaneously detect the physiological signal and the pressure value of the measured area with the physiological signal sensor.

3. The intelligent wearable device according to claim 1, characterized in that, The arithmetic processor marks the physiological signal detected by the physiological signal sensor during the process when the pressure value exceeds the predetermined pressure threshold, and issues a warning message associated with the marked physiological signal.

4. The intelligent wearable device according to claim 1, wherein The arithmetic processor replaces the physiological signal detected during the process when the pressure value exceeds the predetermined pressure threshold with the physiological signal detected by the physiological signal sensor before the pressure value exceeds the predetermined pressure threshold.

5. The intelligent wearable device according to claim 1, wherein, The arithmetic processor further performs optimization processing on the physiological signal when the pressure value exceeds the predetermined pressure threshold and the change amplitude of the physiological signal exceeds a predetermined physiological threshold.

6. The intelligent wearable device according to claim 1, wherein The arithmetic processor further performs optimization processing on the physiological signal when the duration during which the pressure value exceeds the predetermined pressure threshold and the change amplitude of the physiological signal exceeds the predetermined physiological threshold exceeds a predetermined duration.

7. The intelligent wearable device according to claim 1, wherein The arithmetic processor issues a warning message associated with the duration when the duration during which the pressure value exceeds the predetermined pressure threshold reaches the predetermined duration.

8. The intelligent wearable device according to claim 1, wherein The intelligent wearable device further includes a plurality of physiological signal sensors and a plurality of pressure sensors. Each pressure sensor is adjacent to the outer edge of its corresponding physiological signal sensor to be arranged in pairs, and is used to separately and simultaneously detect the physiological signal and the pressure value of its corresponding measured area.

9. The intelligent wearable device according to claim 1, wherein, The intelligent wearable device further includes an acceleration sensor electrically connected to the arithmetic processor for detecting the acceleration value of the measured area. The arithmetic processor performs optimization processing on the physiological signal when the pressure value exceeds the predetermined pressure threshold and the acceleration value exceeds a predetermined acceleration threshold.

10. A signal correction method for correcting physiological signals detected by a smart wearable device in a measurement area on a user's limb, characterized in that, The signal correction method includes: Analyzing the pressure value detected by the pressure sensor of the intelligent wearable device in the measured area; and When it is determined that the pressure value exceeds the predetermined pressure threshold, performing optimization processing on the physiological signal detected by the physiological signal sensor of the intelligent wearable device in the measured area to improve the accuracy of the physiological signal.

11. The signal correction method according to claim 10, wherein, The signal correction method further includes: Marking the physiological signal detected by the physiological signal sensor during the process when the pressure value exceeds the predetermined pressure threshold; and Issuing a warning message associated with the marked physiological signal.

12. The signal correction method according to claim 10, wherein The signal correction method further includes: Storing the physiological signal detected by the physiological signal sensor before the pressure value exceeds the predetermined pressure threshold; and Using the aforementioned physiological signal to replace the physiological signal detected by the physiological signal sensor during the process when the pressure value exceeds the predetermined pressure threshold.

13. The signal correction method according to claim 10, wherein, The signal correction method further includes: When it is determined that the pressure value exceeds the predetermined pressure threshold and the change amplitude of the physiological signal exceeds the predetermined physiological threshold, perform optimization processing on the physiological signal.

14. The signal correction method according to claim 10, characterized in that, The signal correction method further includes: When it is determined that the duration during which the pressure value exceeds the predetermined pressure threshold and the change amplitude of the physiological signal exceeds the predetermined physiological threshold exceeds a predetermined duration, perform optimization processing on the physiological signal.

15. The signal correction method according to claim 10, wherein The signal correction method further includes: When the duration during which the pressure value exceeds the predetermined pressure threshold reaches the predetermined duration, issue a warning message associated with the duration.

16. The signal correction method according to claim 10, wherein The signal correction method further includes: When it is determined that the pressure value exceeds the predetermined pressure threshold and the acceleration value obtained by the acceleration sensor of the intelligent wearable device detecting the measured area exceeds the predetermined acceleration threshold, perform optimization processing on the physiological signal.

17. The signal correction method according to claim 10, wherein The pressure sensor is adjacent to the outer edge of the physiological signal sensor to respectively and simultaneously detect the physiological signal and the pressure value of the measured area with the physiological signal sensor.

18. The signal correction method according to claim 10, wherein The intelligent wearable device further includes a plurality of physiological signal sensors and a plurality of pressure sensors. Each pressure sensor is adjacent to the outer edge of its corresponding physiological signal sensor to be arranged in pairs, and is used to respectively and simultaneously detect the physiological signal and the pressure value of its corresponding measured area.

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