Electrocardiogram monitoring system and intelligent seat

Abstract

The invention discloses an electrocardiogram monitoring system and an intelligent seat, relates to the technical field of electrocardiogram monitoring equipment, and aims to solve the technical problems that the electrocardiogram monitoring efficiency of a patient after a daytime operation is low, the electrocardiogram monitoring is not real-time, the patient cannot call a nurse conveniently, and a common seat cannot meet the electrocardiogram monitoring and rest requirements. Comprising a lead signal collecting unit, a signal processing output unit, a physiological index obtaining unit and a mobile terminal unit, the lead signal collecting unit is used for collecting monitoring signals of all parts of the body of a user, the physiological index obtaining unit is used for obtaining a seat pressure value # imgabs0 # and a user body surface temperature value # imgabs1 #, the signal processing output unit is used for processing the monitoring signals of all the parts of the body of the user, and the mobile terminal unit is used for receiving the monitoring signals of all the parts of the body of the user. Through the combination of the electrocardiogram monitoring system and the intelligent seat, the problems that the electrocardiogram monitoring efficiency of a patient after a daytime operation is low, and the dynamic state of the patient cannot be mastered in real time are solved, and the utilization rate of medical resources is increased.

Description

Technical Field

[0001] The present invention relates to the technical field of electrocardiogram monitoring equipment, and more specifically, to an electrocardiogram monitoring system and an intelligent seat. Background Art

[0002] At present, with the continuous advancement of medical technology and the continuous improvement of medical efficiency, day surgery accounts for an increasing proportion in the modern medical system. After day surgery, patients have special medical needs and challenges in the recovery stage.

[0003] On the one hand, patients who receive anesthesia need some time to recover from anesthesia after surgery. During this period, their physical functions are relatively fragile and their ECG status is unstable, which requires close attention. However, the traditional monitoring method is mostly for patients to lie on the hospital bed and rely on bedside ECG monitors for monitoring. This method has obvious disadvantages. Medical staff need to check the data at the bedside regularly, which not only consumes a lot of manpower and has low efficiency, but also cannot grasp the dynamic changes of the patient's ECG in real time and conveniently, and it is difficult to respond quickly when the patient has an emergency.

[0004] On the other hand, patients who have undergone day surgery (surgery without anesthesia) or day chemotherapy are often not equipped with ECG monitors, and medical staff can only judge the recovery status by observing the patient's external state. This means that once a problem occurs, the patient may not be able to call a nurse in time and it is difficult for them to receive proper care, which poses a major medical safety hazard.

[0005] In addition, with the increasing number of day surgeries, a large number of patients only need to sit quietly and observe to recover after surgery, without occupying bed resources. However, existing ordinary chairs can only meet basic rest needs, cannot monitor the patient's ECG condition, and cannot meet the dual needs of ECG monitoring and comfortable rest for patients during postoperative recovery in modern medical scenarios. Therefore, it is urgent to develop an intelligent chair that can not only continuously ensure ECG monitoring but also provide patients with a comfortable rest environment. This is of great significance to improving the quality of medical services and ensuring the safe recovery of patients after surgery. In view of this, we propose an ECG monitoring system and an intelligent chair. Summary of the invention

[0006] The purpose of the present invention is to provide an ECG monitoring system and an intelligent chair to solve the technical problems of low efficiency and unreal-time ECG monitoring of patients after day surgery, inconvenience for patients to call nurses, and the inability of ordinary chairs to meet the needs of ECG monitoring and rest.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions: an electrocardiogram monitoring system, comprising a lead signal acquisition unit, a signal processing and output unit, a physiological index acquisition unit and a mobile terminal unit; Lead signal acquisition unit, used to collect monitoring signals from various parts of the user's body; Physiological index acquisition unit, used to obtain seat pressure value And the user's body temperature ; The signal processing output unit is used to process and send the monitoring signal and to adjust the seat pressure value according to the seat pressure value. And the user's body temperature Calculate comprehensive physiological index values ; A mobile terminal unit is used to calculate the user's heart rate based on the received monitoring signal ; Heart rate display unit, used for generating heart rate curve; Wherein, the signal processing output unit includes a signal acquisition processing unit, a wired communication module, a wired interface, a mobile communication module and a wireless communication module. The signal acquisition processing unit performs analog-to-digital conversion, filtering and signal amplification on the received monitoring signal, and sends the processed ECG signal to the mobile terminal unit through the wired communication module or the wireless communication module. The wired communication module is electrically connected to the signal acquisition processing unit and is used to receive monitoring signals from chest lead ECG signals and limb lead ECG signals. The wired interface is connected to the lead signal acquisition unit, and the mobile communication module sends the received monitoring signal to the mobile terminal unit through the wireless communication module. The signal processing output unit is based on the seat pressure value And the user's body temperature Calculate comprehensive physiological index values The calculation formula is: + , where , , is the preset weight coefficient, and .

[0008] The present invention solves the problems of low efficiency of ECG monitoring and inability to grasp the patient's dynamics in real time after day surgery by combining the ECG monitoring system with the smart chair. The smart chair can collect the patient's ECG signal in real time, calculate the heart rate and display the heart rate curve through the mobile terminal unit. Medical staff can obtain data remotely in real time without frequently checking at the bedside. Moreover, the patient can complete ECG monitoring while sitting quietly without occupying the hospital bed, thereby improving the utilization rate of medical resources.

[0009] Preferably, the lead signal acquisition unit includes chest lead electrodes, a chest lead ECG collector, limb lead electrodes and a limb lead ECG collector, the chest lead ECG collector is connected to the chest lead electrodes for collecting monitoring signals including chest lead ECG signals, and the limb lead ECG collector is connected to the limb lead electrodes for collecting monitoring signals including limb lead ECG signals.

[0010] Preferably, the mobile terminal unit calculates the user's real-time heart rate The calculation formula is: , where For real-time heart rate, is the peak value of the artificial signal, is the noise peak value, is the time difference between two heart rate peaks, is the artificial coefficient.

[0011] Preferably, the signal acquisition processing unit includes a signal acquisition module, a signal input module, an analog switch selection module, a buffer module, an analog-to-digital conversion module, a signal amplification module, a signal filtering module, a signal output module, a microprocessor and a memory module. The input end of the signal acquisition module is connected to the signal input module, and the other end of the signal acquisition module is connected to the analog switch selection module, the other end of the analog switch selection module is connected to the signal amplification module, and the other end of the signal amplification module is connected to the signal filtering module, the other end of the signal filtering module is connected to the signal output module, and the other end of the signal output module is connected to the microprocessor, the microprocessor is respectively connected to the analog-to-digital conversion module and the memory module, and the analog-to-digital conversion module is connected to the signal acquisition module together with the buffer module and the analog switch selection module.

[0012] Preferably, the signal acquisition and processing unit uses a Butterworth low-pass filter when filtering the signal, and its transfer function is: ; In the formula, is the complex frequency, is the cut-off frequency, is the filter order.

[0013] Preferably, the physiological index acquisition unit is electrically connected to the microprocessor and is used to obtain the physiological index according to the seat pressure value. Rate of change Determine the user's sitting posture, where is the seat pressure value at the current moment, is the seat pressure value at the last moment, For the time interval.

[0014] Preferably, the input end of the heart rate display unit is connected to the signal output end of the mobile terminal unit, according to the time series And the corresponding heart rate value ( )The least square method was used to fit the heart rate curve; The fitting function is: , where ( ) is the fitting coefficient, by minimizing the sum of squared errors Please solve.

[0015] An intelligent seat comprises a seat body, an intelligent seat control unit and an electric stimulation module; The seat body is provided with a control panel, which is electrically connected to the electrical stimulation module, the heart rate display unit and the intelligent seat control unit. The seat body is provided with a control panel for real-time monitoring of seat pressure and outputting seat pressure values. The pressure sensor array and the temperature sensor array used to collect the user's body surface temperature A temperature sensor, and the pressure sensor array and the temperature sensor are both electrically connected to a physiological index acquisition unit; The electrical stimulation module comprises a plurality of electrical stimulation rods which are respectively arranged at the contact points between the backrest of the seat body and the left upper limb, right upper limb, lower limb, trunk and head of the user.

[0016] Preferably, the smart seat control unit includes an identity recognition unit for user identity recognition, an information receiving unit and an information sending unit, the information receiving unit is electrically connected to the information sending unit, the information sending unit is electrically connected to the mobile terminal unit, and the smart seat control unit is electrically connected to the electrocardiogram monitoring system for obtaining the user's heart rate in real time.

[0017] Preferably, the intelligent seat control unit is electrically connected to the electrical stimulation module. Exceeding the preset heart rate zone When the intelligent seat control unit Control the stimulation intensity of the electrical stimulation module , the calculation formula is: , where , It is the preset voltage and current intensity coefficient.

[0018] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention solves the problems of low efficiency of ECG monitoring and inability to grasp the patient's dynamics in real time after day surgery by combining the ECG monitoring system with the smart chair. The smart chair can collect the patient's ECG signal in real time, calculate the heart rate and display the heart rate curve through the mobile terminal unit. Medical staff can obtain data remotely in real time without frequently checking at the bedside. Moreover, the patient can complete ECG monitoring while sitting quietly without occupying the hospital bed, thereby improving the utilization rate of medical resources.

[0019] 2. The present invention further optimizes the ability to handle abnormal ECG conditions of patients. When the patient's heart rate exceeds the preset range, the intelligent seat control unit controls the stimulation intensity of the electrical stimulation module according to the heart rate deviation rate. It can also determine the activation combination and stimulation duration of the electrical stimulation rod through a fuzzy control algorithm based on the comprehensive physiological index value and the heart rate deviation rate, so as to intervene in the patient in time and reduce the possibility of danger caused by ECG abnormalities.

[0020] 3. In addition to solving the problems of ECG monitoring and abnormality handling, the present invention also pays attention to the comprehensive experience of patients during the recovery process. The physiological index acquisition unit determines the patient's sitting posture by monitoring the change rate of the seat pressure value, reminding the patient to adjust the sitting posture to avoid affecting physical recovery and ECG status due to bad sitting posture; at the same time, the temperature sensor in the seat collects body surface temperature, and combines comprehensive physiological indicators to provide patients with a more suitable rest environment to promote postoperative recovery of patients. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a structural schematic diagram of the present invention; Figure 2 It is a structural schematic diagram of the smart chair in the present invention. DETAILED DESCRIPTION

[0022] like Figure 1 to Figure 2 As shown, the present invention relates to an electrocardiogram monitoring system, comprising a lead signal acquisition unit, a signal processing and output unit, a physiological index acquisition unit and a mobile terminal unit; Lead signal acquisition unit, used to collect monitoring signals from various parts of the user's body; Physiological index acquisition unit, used to obtain seat pressure value And the user's body temperature ; The signal processing output unit is used to process and send the monitoring signal and to adjust the seat pressure value according to the seat pressure value. And the user's body temperature Calculate comprehensive physiological index values ; A mobile terminal unit, used for calculating the user's heart rate based on the received monitoring signal; Heart rate display unit, used for generating heart rate curve; The lead signal acquisition unit includes chest lead electrodes, a chest lead ECG collector, limb lead electrodes and a limb lead ECG collector, wherein the chest lead ECG collector is connected to the chest lead electrodes for collecting monitoring signals including chest lead ECG signals, and the limb lead ECG collector is connected to the limb lead electrodes for collecting monitoring signals including limb lead ECG signals; The signal processing output unit includes a signal acquisition processing unit, a wired communication module, a wired interface, a mobile communication module and a wireless communication module; The signal acquisition and processing unit performs analog-to-digital conversion, filtering, and signal amplification on the received monitoring signal, and sends the processed ECG signal to the mobile terminal unit through the wired communication module or the wireless communication module; The wired communication module is electrically connected to the signal acquisition processing unit and is used to receive monitoring signals from chest lead ECG signals and limb lead ECG signals; The wired interface is connected to the lead signal acquisition unit; The mobile communication module sends the received monitoring signal to the mobile terminal unit through the wireless communication module, and the mobile terminal unit calculates the user's real-time heart rate , the calculation formula is: ; In the formula, For real-time heart rate, is the peak value of the artificial signal, is the noise peak value, is the time difference between two heart rate peaks, is the artificial coefficient; The present invention solves the problems of low efficiency of ECG monitoring and inability to grasp the patient's dynamics in real time after day surgery by combining the ECG monitoring system with the smart chair. The smart chair can collect the patient's ECG signal in real time, calculate the heart rate and display the heart rate curve through the mobile terminal unit. Medical staff can obtain data remotely in real time without frequently checking at the bedside. Moreover, the patient can complete ECG monitoring while sitting quietly without occupying the hospital bed, thereby improving the utilization rate of medical resources.

[0023] In an embodiment of the present invention, the signal acquisition processing unit includes a signal acquisition module, a signal input module, an analog switch selection module, a buffer module, an analog-to-digital conversion module, a signal amplification module, a signal filtering module, a signal output module, a microprocessor and a memory module, the input end of the signal acquisition module is connected to the signal input module, and the other end of the signal acquisition module is connected to the analog switch selection module, the other end of the analog switch selection module is connected to the signal amplification module, and the other end of the signal amplification module is connected to the signal filtering module, the other end of the signal filtering module is connected to the signal output module, and the other end of the signal output module is connected to the microprocessor, the microprocessor is respectively connected to the analog-to-digital conversion module and the memory module, and the analog-to-digital conversion module is connected to the signal acquisition module together with the buffer module and the analog switch selection module; In an embodiment of the present invention, the signal acquisition processing unit uses a Butterworth low-pass filter when filtering the signal, and its transfer function is: ; In the formula, is the complex frequency, is the cut-off frequency, is the filter order; In an embodiment of the present invention, the physiological index acquisition unit is electrically connected to the microprocessor and is used to obtain the physiological index according to the seat pressure value. Rate of change Determine the user's sitting posture, where is the seat pressure value at the current moment, is the seat pressure value at the last moment, is the time interval; In addition to solving the problems of ECG monitoring and abnormality handling, the present invention also focuses on the comprehensive experience of patients during the recovery process. The physiological index acquisition unit determines the patient's sitting posture by monitoring the change rate of the seat pressure value, reminding the patient to adjust the sitting posture to avoid affecting physical recovery and ECG status due to bad sitting posture; at the same time, the temperature sensor in the seat collects body surface temperature, and combines comprehensive physiological indicators to provide patients with a more suitable rest environment to promote postoperative recovery.

[0024] In an embodiment of the present invention, the signal processing output unit is based on the seat pressure value And the user's body temperature Calculate comprehensive physiological index values The calculation formula is: + ; In the formula, , , is the preset weight coefficient, and ; In an embodiment of the present invention, the input end of the heart rate display unit is connected to the signal output end of the mobile terminal unit, and the heart rate display unit is connected to the signal output end of the mobile terminal unit according to the time series. And the corresponding heart rate value ( )The least square method is used to fit the heart rate curve, and the fitting function is: , where ( ) is the fitting coefficient, by minimizing the sum of squared errors Solution; An intelligent seat comprises a seat body, an intelligent seat control unit and an electric stimulation module; As another embodiment of the present invention, the control panel is electrically connected to the electrical stimulation module, the heart rate display unit and the intelligent seat control unit, the control panel is electrically connected to the electrical stimulation module, and the seat body is provided with a device for real-time monitoring of seat pressure and outputting seat pressure values. The pressure sensor array and the temperature sensor array used to collect the user's body surface temperature A temperature sensor, and the pressure sensor array and the temperature sensor are both electrically connected to the physiological index acquisition unit; As another embodiment of the present invention, the electrical stimulation module includes a plurality of electrical stimulation rods, which are respectively arranged at the contact points between the backrest of the seat body and the left upper limb, right upper limb, lower limb, trunk and head of the user. As another embodiment of the present invention, the intelligent seat control unit includes an identity recognition unit for user identity recognition, an information receiving unit and an information sending unit; The information receiving unit is electrically connected to the information sending unit, the information sending unit is electrically connected to the mobile terminal unit, and the smart seat control unit is electrically connected to the electrocardiogram monitoring system for obtaining the user's heart rate in real time; As another embodiment of the present invention, the intelligent seat control unit is electrically connected to the electrical stimulation module, and when the user's heart rate Exceeding the preset heart rate zone When the intelligent seat control unit Control the stimulation intensity of the electrical stimulation module , the calculation formula is: , where , is the preset voltage and current intensity coefficient; The present invention also further optimizes the ability to handle abnormal ECG conditions of patients. When the patient's heart rate exceeds a preset range, the intelligent seat control unit controls the stimulation intensity of the electrical stimulation module according to the heart rate deviation rate. It can also determine the activation combination and stimulation duration of the electrical stimulation rod through a fuzzy control algorithm based on the comprehensive physiological index value and the heart rate deviation rate, so as to intervene in the patient in time and reduce the possibility of danger caused by ECG abnormalities.

[0025] The intelligent seat control unit is based on the user's comprehensive physiological index value and heart rate deviation rate The fuzzy control algorithm is used to determine the activation combination and stimulation duration of each electrical stimulation rod. The fuzzy control rules are based on the preset fuzzy rule base, and the input variables are integrated with the physiological index values. and heart rate deviation rate The output variable is obtained by fuzzification, fuzzy reasoning and defuzzification .

[0026] Working principle: This embodiment provides an ECG monitoring system and a smart chair. When monitoring the user's heart rate and adjusting the body sensation, the signal acquisition and processing unit is controlled to collect ECG signals from chest leads and limb leads, and then the signal acquisition and processing unit is controlled to perform analog-to-digital conversion, filtering, and signal amplification on the collected signals. The processed signals are then displayed through the mobile terminal unit and the user's heart rate is calculated. , and collect seat pressure values And the user's body temperature , calculate the comprehensive physiological index value , and then judge the user's heart rate Whether it exceeds the preset heart rate zone If it exceeds, the heart rate deviation rate is calculated , and then according to the comprehensive physiological index value and heart rate deviation rate The stimulation parameters of the electrical stimulation module (including the activation combination and stimulation duration) are determined by the fuzzy control algorithm. ), control the electrical stimulation module to stimulate the user's body sensation and monitor the seat pressure value in real time Rate of change ,according to Determine the user's sitting posture and provide corresponding prompts or adjustments.

[0027] The embodiments of the present invention disclose preferred embodiments, but are not limited thereto. A person skilled in the art can easily understand the spirit of the present invention based on the above embodiments and make different extensions and changes. However, as long as they do not deviate from the spirit of the present invention, they are all within the protection scope of the present invention.

Claims

1. An electrocardiogram monitoring system, characterized in that: include: Lead signal acquisition unit, used to collect monitoring signals from various parts of the user's body; Physiological index acquisition unit, used to obtain seat pressure value And the user's body temperature ; The signal processing output unit is used to process and send the monitoring signal and to adjust the seat pressure value according to the seat pressure value. And the user's body temperature Calculate comprehensive physiological index values ; A mobile terminal unit is used to calculate the user's heart rate based on the received monitoring signal ; Heart rate display unit, used for generating heart rate curve; Wherein, the signal processing output unit includes a signal acquisition processing unit, a wired communication module, a wired interface, a mobile communication module and a wireless communication module. The signal acquisition processing unit performs analog-to-digital conversion, filtering and signal amplification on the received monitoring signal, and sends the processed ECG signal to the mobile terminal unit through the wired communication module or the wireless communication module. The wired communication module is electrically connected to the signal acquisition processing unit and is used to receive monitoring signals from chest lead ECG signals and limb lead ECG signals. The wired interface is connected to the lead signal acquisition unit, and the mobile communication module sends the received monitoring signal to the mobile terminal unit through the wireless communication module. The signal processing output unit is based on the seat pressure value And the user's body temperature Calculate comprehensive physiological index values The calculation formula is: + , where , , is the preset weight coefficient, and .

2. An electrocardiogram monitoring system according to claim 1, characterized in that: The lead signal acquisition unit includes chest lead electrodes, a chest lead ECG collector, limb lead electrodes and a limb lead ECG collector. The chest lead ECG collector is connected to the chest lead electrodes for collecting monitoring signals including chest lead ECG signals, and the limb lead ECG collector is connected to the limb lead electrodes for collecting monitoring signals including limb lead ECG signals.

3. The electrocardiogram monitoring system according to claim 1, characterized in that: The mobile terminal unit calculates the user's real-time heart rate The calculation formula is: , where For real-time heart rate, is the peak value of the artificial signal, is the noise peak value, is the time difference between two heart rate peaks, is the artificial coefficient.

4. The electrocardiogram monitoring system according to claim 1, characterized in that: The signal acquisition processing unit includes a signal acquisition module, a signal input module, an analog switch selection module, a buffer module, an analog-to-digital conversion module, a signal amplification module, a signal filtering module, a signal output module, a microprocessor and a memory module. The input end of the signal acquisition module is connected to the signal input module, and the other end of the signal acquisition module is connected to the analog switch selection module, the other end of the analog switch selection module is connected to the signal amplification module, and the other end of the signal amplification module is connected to the signal filtering module, the other end of the signal filtering module is connected to the signal output module, and the other end of the signal output module is connected to the microprocessor, the microprocessor is respectively connected to the analog-to-digital conversion module and the memory module, and the analog-to-digital conversion module is connected to the signal acquisition module together with the buffer module and the analog switch selection module.

5. An electrocardiogram monitoring system according to claim 4, characterized in that: The signal acquisition and processing unit uses a Butterworth low-pass filter to filter the signal, and its transfer function is: ； In the formula, is the complex frequency, is the cut-off frequency, is the filter order.

6. The electrocardiogram monitoring system according to claim 1, characterized in that: The physiological index acquisition unit is electrically connected to the microprocessor and is used to obtain the physiological index according to the seat pressure value. Rate of change Determine the user's sitting posture, where is the seat pressure value at the current moment, is the seat pressure value at the last moment, is the time interval.

7. The electrocardiogram monitoring system according to claim 1, characterized in that: The input end of the heart rate display unit is connected to the signal output end of the mobile terminal unit, according to the time series And the corresponding heart rate value ( )The least square method was used to fit the heart rate curve; The fitting function is: , where ( ) is the fitting coefficient, by minimizing the sum of squared errors Please solve.

8. A smart chair, using the electrocardiogram monitoring system according to any one of claims 1 to 7, characterized in that: It includes a seat body, an intelligent seat control unit and an electric stimulation module; The seat body is provided with a control panel, which is electrically connected to the electrical stimulation module, the heart rate display unit and the intelligent seat control unit. The seat body is provided with a control panel for real-time monitoring of seat pressure and outputting seat pressure values. The pressure sensor array and the temperature sensor array used to collect the user's body surface temperature A temperature sensor, and the pressure sensor array and the temperature sensor are both electrically connected to a physiological index acquisition unit; The electrical stimulation module comprises a plurality of electrical stimulation rods which are respectively arranged at the contact points between the backrest of the seat body and the left upper limb, right upper limb, lower limb, trunk and head of the user.

9. The intelligent chair according to claim 8, characterized in that: The smart seat control unit includes an identity recognition unit for user identity recognition, an information receiving unit and an information sending unit. The information receiving unit is electrically connected to the information sending unit, the information sending unit is electrically connected to the mobile terminal unit, and the smart seat control unit is electrically connected to the electrocardiogram monitoring system for obtaining the user's heart rate in real time.

10. The intelligent chair according to claim 9, characterized in that: The intelligent seat control unit is electrically connected to the electrical stimulation module. Exceeding the preset heart rate zone When the intelligent seat control unit Control the stimulation intensity of the electrical stimulation module , the calculation formula is: , where , It is the preset voltage and current intensity coefficient.

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