Non-contact intelligent monitoring dental chair

Abstract

The utility model relates to the field of dental treatment, in particular to a non-contact intelligent monitoring dental chair. The electrocardio-electrode and the piezoelectric ceramic piece are installed on the backrest of the dental chair, direct contact with the skin of a user is not needed, unstable signals caused by frequent hand washing and arm movement are avoided, the breathing heart rate signals can be collected when the user leans against the dental chair and keeps a natural posture, and the user does not feel uncomfortable; the signal processing unit can process signals in real time to ensure the timeliness and accuracy of data; the Bluetooth chip is arranged to realize wireless transmission, so that the signal transmission is more convenient, and the complexity of the equipment is reduced; the processed information is displayed on the displayer, data display is visual, and doctors and patients can conveniently know the heart rate condition. The problems that traditional contact type heart rate monitoring equipment is inaccurate in monitoring and inconvenient to operate due to factors such as frequent hand washing and arm movement in dental treatment are solved.

Description

TECHNICAL FIELD

[0001] The utility model relates to dental treatment technical field especially a non -contact intelligent monitoring dental chair. BACKGROUND

[0002] With the continuous development of medical technology, people put forward higher requirements on the intelligence and comfort of medical equipment. In the field of oral medicine, the monitoring of heart rate and respiration of patients during dental treatment is particularly important. On the one hand, patients may have physiological reactions such as rapid heart rate and rapid breathing during dental treatment due to nervousness, pain or discomfort, which not only affects the treatment effect, but also may cause potential risks to the health of patients. On the other hand, there are many instruments for detecting heart rate at present, and common test systems based on pressure sensors, capacitive sensors, photoelectric sensors and electroacoustic sensors, but different sensors have different requirements for heart rate test sites. Common sensors based on infrared principle mainly rely on infrared detection of blood flow pressure fluctuation signal, that is, when blood is transported to human tissue, the semi-transparency of the tissue decreases, and when the blood flows back to the heart, the semi-transparency increases. This phenomenon is most obvious in the fingertips. Although infrared detection is a good detection method, it is affected by factors such as frequent hand washing and arm movement during detection, resulting in that the infrared detector is not convenient to carry for a long time and cannot be detected for a long time. SUMMARY

[0003] To solve the problem of inaccurate monitoring and inconvenient operation of traditional contact type heart rate monitoring equipment in dental treatment due to factors such as frequent hand washing and arm movement.

[0004] The utility model provides a non -contact intelligent monitoring dental chair, including dental chair, its characterized in be still including the sensor unit of installation on the backrest of dental chair and be used for processing and display respiration heart rate host computer, sensor unit includes the sensor, signal processing unit and bluetooth chip that are electrically connected in proper order, host computer includes signal processing software and display, sensor is used for gathering the respiration heart rate signal of user, including electrocardio electrode and piezoelectric ceramic piece, signal processing unit is used for processing the signal of sensor transmission, bluetooth chip is used for sending the signal after signal processing unit processing to host computer, signal processing software handles the information display in display after signal.

[0005] Preferably, the signal processing unit further comprises an instrument amplifier, a first low-pass filter and a first analog-to-digital converter; the output end of the electrocardio electrode is electrically connected to the input end of the instrument amplifier through a signal line, the output end of the instrument amplifier is electrically connected to the input end of the first low-pass filter through a signal line, and the output end of the first low-pass filter is electrically connected to the input end of the first analog-to-digital converter through a signal line; the instrument amplifier, the first low-pass filter and the first analog-to-digital converter are used to process the electrocardio electrode signal collected by the electrocardio electrode, and finally obtain the ECG signal.

[0006] Preferably, the signal processing unit comprises a charge amplifier, a second low-pass filter and a second analog-to-digital converter; the output end of the piezoelectric ceramic sheet is electrically connected to the input end of the charge amplifier through a signal line, the output end of the charge amplifier is electrically connected to the input end of the second low-pass filter through a signal line, and the output end of the second low-pass filter is electrically connected to the input end of the second analog-to-digital converter through a signal line; the charge amplifier, the second low-pass filter and the second analog-to-digital converter are used to process the electrocardio electrode signal collected by the electrocardio electrode, and finally obtain the BCG signal.

[0007] Preferably, the signal input end of the Bluetooth chip is electrically connected to the output end of the first analog-to-digital converter through a signal line, and the signal input end of the Bluetooth chip is electrically connected to the output end of the second analog-to-digital converter through a signal line; the Bluetooth chip transmits the ECG signal and the BCG signal to the host computer through Bluetooth.

[0008] Preferably, the signal processing software comprises a PT algorithm module, the PT algorithm module is used to process the ECG signal, identify the position of the R wave, and calculate the time interval between adjacent two R waves, i.e. the ECG beat-to-beat R-R interval.

[0009] Preferably, the host computer further comprises a BCG signal processing module, a template learning module and a heartbeat detection module; the BCG signal processing module is used to extract the features of the BCG signal; the template learning module is used to generate a standard BCG signal template to match subsequent BCG signals; and the heartbeat detection module is used to identify the position of the J wave and calculate the time interval between adjacent two J waves, i.e. the BCG beat-to-beat J-J interval.

[0010] Preferably, the signal processing software further comprises a comparative analysis module, the comparative analysis module compares and analyzes the ECG beat-to-beat R-R interval and the BCG beat-to-beat J-J interval, and transmits the comparative analysis result to the display.

[0011] By installing the electrocardio electrode and the piezoelectric ceramic sheet on the backrest of the dental chair, without directly contacting the skin of the user, the signal instability caused by frequent hand washing and arm movement is avoided, the user backs against the dental chair, and the respiratory heart rate signal can be collected in a natural posture, and the user does not feel uncomfortable; the signal processing unit can process the signal in real time, and ensures the timeliness and accuracy of the data; wireless transmission is realized by setting the Bluetooth chip, so that the signal transmission is more convenient, and the complexity of the equipment is reduced; the processed information is displayed on the display, the data display is intuitive, and the heart rate condition is convenient for doctors and patients to understand. The problems of inaccurate monitoring and inconvenient operation of the traditional contact type heart rate monitoring equipment in dental treatment caused by factors such as frequent hand washing and arm movement are solved. BRIEF DESCRIPTION OF DRAWINGS

[0012] Figure 1 A perspective view of a non-contact intelligent monitoring dental chair provided by the utility model.

[0013] Figure 2 A perspective view of a sensing unit provided by the utility model.

[0014] Figure 3 A perspective view of an upper computer provided by the utility model.

[0015] Figure 4 A logic block diagram of the sensing unit and the upper computer signal transmission of the upper computer provided by the utility model.

[0016] In the drawing: 1-sensing unit; 11-electrocardio electrode; 12-piezoelectric ceramic sheet; 13-signal processing unit; 131-instrumentation amplifier; 132-first low-pass filter; 133-first analog-to-digital converter; 134-charge amplifier; 135-second low-pass filter; 136-second analog-to-digital converter; 14-Bluetooth chip; 2-upper computer; 21-signal processing software; 211-PT algorithm module; 212-BCG signal processing module; 213-template learning module; 214-heartbeat detection module; 215-contrast analysis module; 22-display. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the application.

[0018] REFERENCE Figures 1-4The utility model relates to a non -contact intelligent monitoring dental chair, including dental chair, its characterized in be further including the sensor unit 1 of installation on the back of dental chair and the host computer 2 for processing and display respiratory heart rate, sensor unit 1 includes sensor, signal processing unit 13 and bluetooth chip 14 that are electrically connected in proper order, and the host computer 2 includes signal processing software 21 and display 22, sensor is used to gather the respiratory heart rate signal of user, including electrocardio electrode 11 and piezoelectric ceramic sheet 12, signal processing unit 13 is used to handle the signal of sensor transmission, and bluetooth chip 14 is used to send the signal after signal processing unit 13 processing to the host computer 2, and signal processing software 21 shows information on display 22 after processing signal.

[0019] by installing electrocardio electrode 11 and piezoelectric ceramic sheet 12 on the back of dental chair, do not need direct contact user's skin, avoid the signal instability caused by frequent hand washing and arm movement, and the user backs against dental chair, keeps natural posture and can gather respiratory heart rate signal, and will not feel uncomfortable, signal processing unit 13 can handle signal in real time, ensure the timeliness and accuracy of data, realize wireless transmission through the setting of bluetooth chip 14, make signal transmission more convenient, reduce the complexity of equipment, show the information after processing on display 22, and data display is intuitive, and it is convenient for doctor and patient to understand heart rate condition. The traditional contact type heart rate monitoring equipment in dental treatment is not accurate and inconvenient to operate due to factors such as frequent hand washing and arm movement.

[0020] In some embodiments, referring to Figure 4 , signal processing unit 13 further includes instrument amplifier 131, first low pass filter 132 and first analog-to-digital converter 133, the output end of electrocardio electrode 11 is electrically connected with the input end of instrument amplifier 131 through a signal line, the output end of instrument amplifier 131 is electrically connected with the input end of first low pass filter 132 through a signal line, and the output end of first low pass filter 132 is electrically connected with the input end of first analog-to-digital converter 133 through a signal line, instrument amplifier 131, first low pass filter 132 and first analog-to-digital converter 133 are used to process the electrocardio electrode 11 signal collected by electrocardio electrode 11, and finally obtain ECG signal.

[0021] Electrocardio electrode 11 converts the cardiac electrical signal into weak electrical signal, and instrument amplifier 131 amplifies these weak signals to a suitable level, the amplified signal output by instrument amplifier 131 can contain high-frequency noise, and first low pass filter 132 is used to remove these high-frequency noise and retain useful low-frequency signals. The analog signal output by first low pass filter 132 is converted into digital signal by first analog-to-digital converter 133.

[0022] In some embodiments, referring to Figure 4The signal processing unit 13 includes a charge amplifier 134, a second low-pass filter 135, and a second analog-to-digital converter 136. The output end of the piezoelectric ceramic sheet 12 is electrically connected to the input end of the charge amplifier 134 through a signal line, the output end of the charge amplifier 134 is electrically connected to the input end of the second low-pass filter 135 through a signal line, and the output end of the second low-pass filter 135 is electrically connected to the input end of the second analog-to-digital converter 136 through a signal line. The charge amplifier 134, the second low-pass filter 135, and the second analog-to-digital converter 136 are used to process the ECG electrode 11 signal collected by the ECG electrode 11, and finally obtain the BCG signal, so as to facilitate subsequent digital signal processing.

[0023] The piezoelectric ceramic sheet 12 converts mechanical vibration into a charge signal, and the charge amplifier 134 converts the charge signal into a voltage signal. The voltage signal output by the charge amplifier 134 can contain high-frequency noise, and the second low-pass filter 135 is used to remove these high-frequency noises and retain useful low-frequency signals. The analog signal output by the second low-pass filter 135 is converted into a digital signal by the second analog-to-digital converter 136, so as to facilitate subsequent digital signal processing.

[0024] In some embodiments, with reference to Figure 4 The signal input end of the Bluetooth chip 14 is electrically connected to the output end of the first analog-to-digital converter 133 through a signal line, and the signal input end of the Bluetooth chip 14 is electrically connected to the output end of the second analog-to-digital converter 136 through a signal line. The Bluetooth chip 14 transmits the ECG signal and the BCG signal to the host computer 2 through Bluetooth.

[0025] The ECG signal and the BCG signal are collected by two independent first analog-to-digital converters 133 and second analog-to-digital converters 136, respectively, to ensure the independence and accuracy of the two signals. The Bluetooth chip 14 can simultaneously receive signals from the two analog-to-digital converters and synchronously transmit them to the host computer 2. This ensures that the ECG signal and the BCG signal processed on the host computer 2 have temporal synchronization, facilitating subsequent signal processing and analysis.

[0026] In some embodiments, with reference to Figure 4 The signal processing software 21 includes a PT algorithm module 211, which is used to process the ECG signal, identify the position of the R wave, and calculate the time interval between two adjacent R waves, i.e., the ECG beat-to-beat R-R interval.

[0027] The R wave is selected for recognition because it is the largest and most obvious waveform in the ECG signal, representing the depolarization process of the ventricles. The location of the R wave is the basis for calculating heart rate and other electrocardiographic parameters. Through the PT algorithm, the characteristics of the R wave are enhanced, making it easier to detect. This method performs well in noisy environments and can accurately identify the location of the R wave. The PT algorithm is open source and will not be discussed here.

[0028] In some embodiments, with reference to Figure 4 The host computer 2 also includes a BCG signal processing module 212, a template learning module 213, and a heartbeat detection module 214. The BCG signal processing module 212 is used to extract the features of the BCG signal. The template learning module 213 is used to generate a standard BCG signal template to match subsequent BCG signals. The heartbeat detection module 214 is used to identify the location of the J wave and calculate the time interval between two adjacent J waves, i.e., the BCG beat-to-beat J-J interval.

[0029] The BCG signal processing module 212 processes the BCG signal by removing high-frequency noise through a filter and amplifying the BCG signal through a method to improve the signal-to-noise ratio of the BCG signal, making it easier to be recognized. The template learning module 213 generates one or more standard BCG signal templates by analyzing multiple BCG signals; these templates can represent typical BCG waveform characteristics; the template learning module 213 dynamically updates the templates according to the user's physiological characteristics and environmental changes, improving the accuracy of matching. The heartbeat detection module 214 selects the J wave for recognition because the J wave is a characteristic wave in the BCG signal that represents cardiac contraction. The variability and regularity of the BCG beat-to-beat J-J interval can be used to detect arrhythmias such as atrial fibrillation, premature beats, etc.

[0030] In some embodiments, with reference to Figure 4 The signal processing software 21 also includes a comparative analysis module 215 that compares and analyzes the ECG beat-to-beat R-R interval and the BCG beat-to-beat J-J interval, and transmits the results of the comparative analysis to the display 22.

[0031] By comparing the ECG beat-to-beat R-R interval and the BCG beat-to-beat J-J interval, arrhythmias can be detected earlier. For example, if the difference between the ECG beat-to-beat R-R interval and the BCG beat-to-beat J-J interval is large, it may indicate that there is an abnormality in cardiac activity. The comparative analysis module 215 sets a threshold value and alerts the doctor and patient when an abnormality is detected, reminding them to pay attention. The results of the comparative analysis are transmitted to the display 22 in real time, allowing the doctor and patient to visually see the heart rate monitoring situation.

[0032] Although the embodiments of the present application have been shown and described, it is to be understood that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the present application, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A non-contact smart monitoring dental chair, comprising a dental chair, characterized in that: The application also comprises a sensing unit installed on the backrest of the dental chair and a host computer for processing and displaying the respiratory heart rate; the sensing unit comprises a sensor, a signal processing unit and a Bluetooth chip connected in sequence; the host computer comprises a signal processing software and a display; the sensor is used for collecting the respiratory heart rate signal of the user and comprises an electrocardio electrode and a piezoelectric ceramic sheet; the signal processing unit is used for processing the signal transmitted by the sensor; the Bluetooth chip is used for transmitting the signal processed by the signal processing unit to the host computer; and the signal processing software displays the information on the display after processing the signal.

2. The non-contact smart monitoring dental chair according to claim 1, wherein: The signal processing unit further comprises an instrument amplifier, a first low-pass filter and a first analog-digital converter; the output end of the electrocardio electrode is electrically connected to the input end of the instrument amplifier through a signal line, the output end of the instrument amplifier is electrically connected to the input end of the first low-pass filter through a signal line, and the output end of the first low-pass filter is electrically connected to the input end of the first analog-digital converter through a signal line; the instrument amplifier, the first low-pass filter and the first analog-digital converter are used for processing the electrocardio electrode signal collected by the electrocardio electrode to finally obtain an ECG signal.

3. The non-contact smart monitoring dental chair according to claim 2, wherein: The signal processing unit further comprises an instrument amplifier, a first low-pass filter and a first analog-digital converter; the output end of the electrocardio electrode is electrically connected to the input end of the instrument amplifier through a signal line, the output end of the instrument amplifier is electrically connected to the input end of the first low-pass filter through a signal line, and the output end of the first low-pass filter is electrically connected to the input end of the first analog-digital converter through a signal line; the instrument amplifier, the first low-pass filter and the first analog-digital converter are used for processing the electrocardio electrode signal collected by the electrocardio electrode to finally obtain an ECG signal.

4. The non-contact smart monitoring dental chair according to claim 3, wherein: The signal input end of the Bluetooth chip is electrically connected to the output end of the first analog-digital converter through a signal line, and the signal input end of the Bluetooth chip is electrically connected to the output end of the second analog-digital converter through a signal line; the Bluetooth chip transmits the ECG signal and the BCG signal to the host computer through Bluetooth.

5. The non-contact smart monitoring dental chair according to claim 3, wherein: The signal processing software comprises a PT algorithm module, which is used for processing the ECG signal, identifying the position of the R wave and calculating the time interval between two adjacent R waves, i.e. the ECG beat-to-beat R-R interval.

6. The non-contact smart monitoring dental chair according to claim 5, characterized in that: The host computer further comprises a BCG signal processing module, a template learning module and a heartbeat detection module; the BCG signal processing module is used for extracting the features of the BCG signal; the template learning module is used for generating a standard BCG signal template to match the subsequent BCG signal; the heartbeat detection module is used for identifying the position of the J wave and calculating the time interval between two adjacent J waves, i.e. the BCG beat-to-beat J-J interval.

7. The non-contact smart monitoring dental chair according to claim 6, characterized in that: The signal processing software further comprises a comparative analysis module, which compares and analyzes the ECG beat-to-beat R-R interval and the BCG beat-to-beat J-J interval and transmits the comparative analysis result to the display.

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