Implantable neurostimulation device and patient anomaly handling method

Abstract

The application provides an implantable nerve stimulation device and an abnormal patient processing method, the implantable nerve stimulation device is internally provided with an acceleration sensor, a physiological signal collector and a pulse generator, and the method comprises the following steps: acquiring acceleration data collected by the acceleration sensor and first physiological data collected by the physiological signal collector; identifying a falling event according to the acceleration data; when the falling event is identified, determining a falling action degree according to the acceleration data in a preset time after the falling event and the first physiological data; and performing a corresponding alarm action according to the falling action degree.

Description

Technical Field

[0001] This invention relates to the field of medical devices, specifically to an implantable nerve stimulation device and a method for managing patient abnormalities. Background Technology

[0002] Implantable neurostimulation devices, such as deep brain stimulators, spinal cord stimulators, and vagus nerve stimulators, are medical devices that deliver electrical stimulation signals to target points based on pre-set stimulation parameters to achieve corresponding therapeutic effects. Patients with implanted neurostimulation devices often experience mobility difficulties, such as those with Parkinson's disease or other functional impairments, who are more prone to accidental falls. These patients require special care.

[0003] Most existing fall detection methods rely on accelerometers to determine whether a fall has occurred. However, for patients with Parkinson's disease, falls can cause abnormal physiological data. Doctors and family members often adjust stimulation parameters remotely without knowing the patient's physical condition after the fall, resulting in poor accuracy in monitoring and treating the patient's health and failing to stabilize the patient's condition in a timely manner. Summary of the Invention

[0004] In view of this, the present invention provides a method for handling patient abnormalities based on an implantable neurostimulation device. The implantable neurostimulation device is equipped with an accelerometer, a physiological signal acquisition device, and a pulse generator. The method includes: acquiring acceleration data collected by the accelerometer and first physiological data collected by the physiological signal acquisition device; identifying a fall event based on the acceleration data; when a fall event is identified, determining the degree of fall movement based on the acceleration data within a preset time after the fall event and the first physiological data; and executing a corresponding alarm action based on the degree of fall movement. This helps doctors and family members accurately understand the patient's physical condition based on the degree of fall and adjust stimulation parameters in a timely manner.

[0005] Optionally, after identifying the fall event based on the acceleration data, the method further includes: the physiological signal collector collecting second physiological data; determining whether the second physiological data is abnormal; when the second physiological data is abnormal, the implantable neurostimulation device actively adjusts the stimulation parameters according to the degree of the fall and sends an alarm message to the guardian device.

[0006] Optionally, the degree of the fall includes a minor fall; executing a corresponding alarm action based on the degree of the fall includes recording the time of occurrence of the minor fall event.

[0007] Optionally, after recording the occurrence time of minor falls, the method further includes: determining the frequency of minor falls based on the recorded occurrence time of minor falls; and sending alarm information to the monitoring device based on the frequency of minor falls.

[0008] Optionally, the degree of fall is determined based on acceleration data within a preset time after the fall event, including: determining whether the patient stands up based on the acceleration data within a preset time after the fall event; if the patient stands up within the preset time, it is determined to be a minor fall.

[0009] Optionally, the degree of fall includes moderate fall and severe fall; executing corresponding alarm actions according to the degree of fall includes: when the degree of fall is moderate, sending alarm information to nearby electronic devices or to the guardian's device using a first signal strength communication method; when the degree of fall is severe, sending alarm information to nearby electronic devices or to the guardian's device using a second signal strength communication method, wherein the second signal strength is higher than the first signal strength.

[0010] Optionally, the degree of fall is determined based on acceleration data within a preset time after the fall event, including: determining whether the patient stands up based on acceleration data within a preset time after the fall event; if the patient does not stand up within the preset time, determining whether the first physiological data is abnormal; if the first physiological data is normal, it is determined to be a moderate fall; if the first physiological data is below 60% of the threshold, it is determined to be a severe fall.

[0011] Optionally, the first signal strength communication method includes a first signal strength and / or a first transmission interval, and the second high signal strength communication method includes a second signal strength and / or a second transmission interval; wherein the first transmission interval is greater than the second transmission interval.

[0012] Optionally, the first physiological data includes heart rate data and / or electrocardiogram amplitude data.

[0013] Accordingly, the present invention also provides an implantable neurostimulation device, comprising: an accelerometer, a physiological signal acquisition unit, and a pulse generator, a processor, and a memory connected to the processor; wherein the accelerometer is used to acquire acceleration data, the physiological signal acquisition unit is used to acquire physiological data, and the pulse generator is used to output stimulation signals to realize corresponding neurostimulation therapy; the memory stores instructions that can be executed by the processor, and the instructions are executed by the processor to cause the processor to perform the above-mentioned patient abnormality treatment method.

[0014] According to the patient abnormality handling method provided by the present invention, since the implantable neurostimulation device is implanted in the patient's body and its relative position to the patient is stable, it will not move with the patient's limb movements. Therefore, the result of identifying the patient's fall action based on acceleration is more accurate and less prone to misjudgment. At the same time, since the contact state between the implantable neurostimulation device and the patient is stable, there is no possibility of dislodgement. Furthermore, since this device directly collects physiological data from the patient's internal organs, the collected data is continuous and accurate, and the judgment of the severity of the patient's fall action is also more accurate. Executing corresponding alarm actions according to the severity of the fall action can improve the accuracy and continuity of patient health monitoring, making it easier for doctors or family members to adjust stimulation parameters in a timely manner based on the patient's physical condition and stabilize the patient's condition. Attached Figure Description

[0015] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0016] Figure 1 This is a schematic diagram of the structure of the nerve stimulation device in an embodiment of the present invention;

[0017] Figure 2 This is a flowchart of a patient abnormality handling method in an embodiment of the present invention;

[0018] Figure 3 This is a flowchart illustrating the subsequent processing for three different levels of fall severity in an embodiment of the present invention.

[0019] Figure 4 This is a flowchart illustrating the determination of the severity of three types of falls in an embodiment of the present invention.

[0020] Figure 5 This is a flowchart illustrating the handling of a patient's pathological condition after a fall, as described in an embodiment of the present invention. Detailed Implementation

[0021] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] Furthermore, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0023] Figure 1 A neurostimulation device is shown, which is implanted in a patient's body. Specifically, it can be a deep brain stimulation device (brain pacemaker), a vagus nerve stimulator, a sacral nerve stimulator, or a spinal nerve stimulator. The neurostimulation device uses set stimulation parameters to perform corresponding therapies (outputting electrical stimulation signals to the nerve tissue where the electrode contacts are located). These stimulation parameters include stimulation amplitude, pulse width, stimulation frequency, stimulation period, and electrode configuration.

[0024] The neurostimulation device in this embodiment includes an accelerometer 1, a physiological signal acquisition unit 2, a pulse generator 3, and a processor 4. The pulse generator 3 is used to output electrical stimulation signals through electrode wires and electrode contacts. The physiological signal acquisition unit 2 can be an electrocardiogram signal acquisition unit and / or an electroencephalogram signal acquisition unit. The acquisition end can be set on the output electrode of the pulse generator or on the main body. The accelerometer 1 is set in the main body of the neurostimulation device to collect acceleration data generated during the patient's activities.

[0025] This invention provides a method for managing patient abnormalities, executed by the processor 4 of an implantable neurostimulation device, such as... Figure 2 The method shown includes the following operations:

[0026] S1, acquire acceleration data collected by the accelerometer and first physiological data collected by the physiological signal collector;

[0027] S2, identify fall events based on acceleration data. Specifically, based on the magnitude and direction of the acceleration data, determine whether the neurostimulation device is making a downward, rapid falling motion. If a fall event is detected, proceed to step S3; otherwise, continue monitoring and identification.

[0028] In some other embodiments, the acquisition of the first physiological data can be performed after step S2, that is, after the fall event is identified, the physiological signal collector starts to collect the first physiological data, thereby reducing the running time of the physiological signal collector and reducing power consumption.

[0029] S3. Determine the degree of fall based on acceleration data and primary physiological data within a preset time period after the fall event. Taking the time of the fall event as the starting point, in this specific embodiment, the preset time is set to 5 seconds. Acceleration data within 5 seconds of the fall event can be used to analyze the patient's limb responses after falling, such as whether they stand up, remain still, or move in other directions. Primary physiological data within 5 seconds of the fall event can be used to analyze the patient's physiological responses after falling, such as changes in heart rate and ECG amplitude, thereby identifying whether the fall caused any physiological abnormalities.

[0030] The preset actual length of 5 seconds is only an example. In specific applications, it can be set according to the actual application scenario. For example, the appropriate time length can be set according to the patient's age, disease type, etc.

[0031] S4. Execute corresponding alarm actions based on the severity of the fall. Pre-set the correspondence between limb and physiological reactions and the severity of the fall, with at least two levels set. Perform different alarm actions for milder and more severe falls, including recording the time and related data of the fall event, sending alarm notifications to external electronic devices, etc.

[0032] Different alarm actions are executed based on the severity of the fall, primarily due to the power consumption of the implantable neurostimulation device. Since these devices are battery-powered, unnecessary alarm actions increase power consumption, thus affecting their basic neurostimulation signal output function. Because communication between the implantable neurostimulation device and external electronic devices requires a wireless connection, sending alarm information to external devices necessitates activating wireless communication devices such as Bluetooth modules or mobile communication network modules, which significantly increases power consumption. Therefore, for minor falls, alarm information may not be sent immediately, while for more severe falls, alarm information is sent immediately.

[0033] According to the patient abnormality handling method provided in this embodiment of the invention, since the implantable neurostimulation device is implanted in the patient's body and its relative position to the patient is stable, it will not move with the patient's limb movements. Therefore, the result of identifying the patient's fall action based on acceleration is more accurate and less prone to misjudgment. At the same time, since the contact state between the implantable neurostimulation device and the patient is stable, there is no possibility of it falling off. Furthermore, since this device directly collects physiological data from the patient's internal organs, the collected data is consistent and accurate, making the judgment of the severity of the patient's fall action more accurate. In addition, there is no possibility that the patient will forget to wear the implantable neurostimulation device. The device can execute corresponding alarm actions based on the severity of the fall action, which can improve the accuracy and consistency of patient health monitoring.

[0034] In the optional embodiments, three levels of fall are preset: mild fall, moderate fall, and severe fall.

[0035] For minor falls, such as Figure 3 The above step S4 specifically includes:

[0036] S41A, records the time of occurrence of minor falls;

[0037] S42A, determine the frequency of minor falls based on the recorded occurrence time of minor fall events. For example, a detection period, such as 1 hour, can be set. After a minor fall is detected, continuously monitor whether a minor fall event occurs again within the next 1 hour to obtain the frequency of minor falls.

[0038] S43A sends alarm information to the monitoring device based on the frequency of minor falls. Specifically, it can send alarm information to external electronic devices only when the frequency of minor falls exceeds a threshold; if the frequency of minor falls does not reach the threshold, it only records the time of occurrence of the minor fall event.

[0039] In this embodiment, for moderate and severe falls, step S4 specifically includes:

[0040] S41B: When the fall is of moderate severity, an alarm message is sent to nearby electronic devices or to the monitor's device using normal signal strength communication.

[0041] S41C, when the fall is classified as a severe fall, sends an alarm message to nearby electronic devices or to the guardian's device using the maximum signal strength communication method.

[0042] In this embodiment, the nearby electronic devices can be any device with wireless communication capabilities, such as smartphones. The implantable neurostimulation device and the nearby electronic devices can be connected via short-range wireless communication methods such as Bluetooth or WiFi. The connection can be established when alarm information needs to be sent, and there can be multiple nearby electronic devices connected to broadcast alarm information to all nearby electronic devices.

[0043] A monitoring device refers to a pre-attached electronic device, such as a smartphone belonging to a patient's family member or doctor. The monitoring device does not need to be near the implantable neurostimulation device. The implantable neurostimulation device and the monitoring device can connect directly via a mobile communication network or indirectly via other electronic devices. For example, the implantable neurostimulation device can connect to a dedicated patient control device via Bluetooth or WiFi, while the patient control device can connect to the monitoring device via the internet. The patient control device can be a patient's mobile phone, tablet, etc. The patient control device can send alarm information to the monitoring device not only via SMS or app messages but also by automatically making phone calls. The patient control device can be set to different alert methods based on the severity of the fall, such as SMS alerts for mild and moderate falls, and phone alerts for severe falls.

[0044] The main difference between the normal signal strength communication method and the maximum signal strength communication method lies in their power consumption. Specifically, this can be achieved by using different signal strengths and transmitting information at different frequencies. In this embodiment, the first signal strength communication method is used as the normal signal strength communication method, and the second signal strength communication method is used as the maximum signal strength communication method.

[0045] Specifically, the first signal strength communication method includes a first signal strength and / or a first transmission interval, and the second signal strength communication method includes a second signal strength and / or a second transmission interval. In this invention, the first signal strength is assumed to be a normal signal strength, which can be 0dBm, where 0dBm represents 1mW.

[0046] The second signal strength is the product's maximum signal strength, which can be 5 dBm. The first transmission interval is the normal transmission interval, which can be set between 1 s and 10 s. The second transmission interval can be a low transmission interval that is more than half the size of the first transmission interval; preferably, the second transmission interval is between 5 ms and 200 ms. Using a higher signal strength than the first to send alarm information to nearby electronic devices results in lower power consumption; using a higher signal strength than the second to send alarm information to nearby electronic devices results in higher power consumption but can extend the transmission range, allowing more distant electronic devices to receive the alarm information.

[0047] Below is a way to distinguish between the three different degrees of fall, such as... Figure 4 The above step S3 may specifically include the following steps:

[0048] S31 determines whether the patient is standing based on acceleration data within a preset time after a fall. Specifically, it determines whether the implanted neurostimulation device has moved upwards based on the magnitude and direction of the acceleration.

[0049] If the patient stands up within a preset time, proceed to step S32; otherwise, proceed to step S33.

[0050] S32 was determined to be a minor fall.

[0051] S33, determine whether the first physiological data is abnormal.

[0052] The primary physiological data can be heart rate data and / or electrocardiogram (ECG) amplitude data. The normal human heart rate range is set at 60-100 beats per minute. Heart rate is collected multiple times while the patient is in a normal state, and the average value is calculated. The resting heart rate is set at 75 beats per minute. The ECG amplitude range for most people is 0.4mV-2mV. ECG signals are collected multiple times while the patient is walking normally. For example, if the patient's ECG amplitude is determined to be between 0.8mV and 1.5mV, the resting ECG amplitude can be set to 1mV.

[0053] When the first physiological data rate is between 60 and 100 beats per minute and the ECG amplitude is between 0.8 mV and 1.5 mV, it indicates that the patient's first physiological data is normal, and step S34 is executed. When the first physiological data is below 60% of the threshold, step S35 is executed.

[0054] S34 was determined to be a moderate fall.

[0055] S35 was determined to be a severe fall.

[0056] The thresholds include a resting heart rate of 75 beats / minute and a resting electrocardiogram amplitude of 1mV. After a severe fall, the patient's heart rate and electrocardiogram amplitude are in a decreasing state, lower than the resting state. When the heart rate data is lower than 60% of the resting heart rate (75 beats / minute) and the electrocardiogram amplitude is lower than 60% of the resting electrocardiogram amplitude (1mV), it is judged as a severe fall.

[0057] It should be noted that if a patient cannot stand within a preset time (e.g., 5 seconds) and the first physiological data is abnormal but above 60% of the threshold, it can be judged as a moderate fall. If either the heart rate or electrocardiogram meets the condition of being below 60%, it is judged as a severe fall.

[0058] The above preferred embodiment combines the patient's limb and physiological reactions to judge the degree of fall. If the patient can stand up in a short time, it indicates that the patient has a certain behavioral ability, and the first physiological data is no longer judged, thus reducing the power consumption of the implantable neurostimulation device. If the patient cannot stand up on their own, it indicates that the patient has lost behavioral ability, and in this case, the first physiological data is further judged to confirm the degree of risk.

[0059] In another embodiment, such as Figure 5 As shown, after step S3 or during step S3, closed-loop control of the stimulation parameters of the nerve stimulation device is performed based on the patient's physiological state, specifically including the following steps:

[0060] S5, the physiological signal acquisition device collects the second physiological data and determines whether the second physiological data is abnormal. If the second physiological data is abnormal, proceed to step S6; otherwise, monitoring and judgment continue. The second physiological data is data that can reflect the effect of neurostimulation therapy. The specific content is related to the type of implantable neurostimulation device. For example, for vagus nerve stimulation devices, the second physiological data can be electrocardiogram data; for deep brain stimulation devices, the second physiological data can be electroencephalogram data.

[0061] S6, send alarm information to the monitoring device. In this embodiment, the alarm information includes information about the fall event and values ​​of secondary physiological data, such as real-time heart rate and EEG data, so that the monitor can understand the patient's physiological response. Simultaneously with sending the alarm information to the monitoring device, the implanted neurostimulator actively adjusts its stimulation parameters according to the severity of the fall.

[0062] Specifically, the pulse generator 3 calibrates the patient's electrocardiogram (ECG) and / or electroencephalogram (EEG) data under normal conditions. When the second physiological data is abnormal compared to the ECG and EEG data under normal conditions, it indicates that the currently running stimulation parameters are no longer suitable for the patient's current physical condition, resulting in poor treatment effectiveness. At this time, an alarm message needs to be sent to the patient's family or doctor so that they can promptly understand the severity of the fall and the physiological data related to the stimulation effect. Since there may be a delay in receiving information from the patient's family or doctor, in this invention, the pulse generator 3 can perform closed-loop adjustment by combining the second physiological data, the severity of the fall, and preset stimulation parameters.

[0063] The pulse generator 3 pre-sets a first stimulation parameter group and a second stimulation parameter group based on conventional therapeutic stimulation parameter groups. The first and second stimulation parameter groups include parameters such as frequency, pulse width, and amplitude. The stimulation intensity of the first stimulation parameter group is greater than that of the conventional therapeutic stimulation parameter group, and its stimulation effect is considered relatively safe (with some risk, no side effects). The stimulation intensity of the second stimulation parameter group is greater than that of the first stimulation group, and its stimulation effect is considered to have some side effects, but these are acceptable.

[0064] By comparing the second physiological data with ECG and EEG data under normal conditions, the effectiveness of treatment is determined, and a first threshold is set according to different treatment levels. When the treatment effect is determined to be poor, the assessment result of the patient's fall severity is obtained:

[0065] If the patient has experienced a minor fall, the standard therapeutic stimulation parameter group should be adjusted to the first stimulation parameter group to increase the stimulation intensity, and the adjustment information of the stimulation parameter group should be sent to the doctor or the patient's family.

[0066] If the patient has experienced a moderate or severe fall, determine whether the treatment effect exceeds the first threshold. If it does, adjust the stimulation parameter group to the second stimulation parameter group and use a greater stimulation intensity. If it does not exceed the first threshold, use the first stimulation parameter group for stimulation treatment and send the adjustment information of the stimulation parameter group to the doctor or the patient's family.

[0067] If the patient’s second physiological data is obtained again within a preset time (e.g., 10 minutes), and if there are no abnormalities in the second physiological data, the stimulation parameters are adjusted to the routine therapeutic stimulation parameter group, and the patient’s family or doctor is notified.

[0068] The monitoring device in this embodiment has the function of remotely controlling the implanted neurostimulation device, including activating the neurostimulation function, adjusting neurostimulation parameters, etc. When the monitor receives an alarm message, he / she can judge the status of the patient and the implanted neurostimulation device, and remotely send control commands through the monitoring device, including telemetry commands, that is, requesting the neurostimulation device to return its status information, such as the current stimulation parameters, electrode configuration, whether it is in working state, etc.; it can also include activation commands and stimulation parameter setting commands, including stimulation parameter adjustment content, electrode configuration adjustment content, etc.

[0069] S7, Receive stimulation parameter setting instructions sent by the monitor's device, and modify the stimulation parameters of the pulse generator. The implantable neurostimulation device performs stimulation actions according to preset stimulation parameters and a working cycle. In this application scenario, changes in the patient's physiological response after a fall may render the preset stimulation parameters unsuitable for the current situation. In this embodiment, the monitor can remotely control the device to address this situation, thus mitigating the risk to the patient's life to some extent.

[0070] After the pulse generator actively adjusts the stimulation parameters, if it receives stimulation parameters sent by the monitor's device, it will modify the currently running stimulation parameters to the stimulation parameters sent by the monitor's device.

[0071] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0072] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0073] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0074] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0075] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. An implantable neurostimulation device, characterized in that, include: The system includes an accelerometer, a physiological signal acquisition unit, a pulse generator, a processor, and a memory connected to the processor. The accelerometer acquires acceleration data, the physiological signal acquisition unit acquires physiological data, and the pulse generator outputs stimulation signals to achieve corresponding neurostimulation therapy. The pulse generator pre-sets a first stimulation parameter group and a second stimulation parameter group based on conventional therapeutic stimulation parameter groups. The first and second stimulation parameter groups include frequency, pulse width, and amplitude. The stimulation intensity of the first stimulation parameter group is greater than that of the conventional therapeutic stimulation parameter group, and the stimulation intensity of the second stimulation parameter group is greater than that of the first stimulation parameter group. The memory stores instructions that can be executed by the processor, which, when executed by the processor, causes the processor to perform the following process: Acquire acceleration data from the accelerometer and first physiological data from the physiological signal acquisition device; Fall events are identified based on the acceleration data; When a fall event is detected, the degree of fall action is determined based on the acceleration data within a preset time after the fall event and the first physiological data. Execute the corresponding alarm action based on the severity of the fall. After identifying the fall event based on the acceleration data, the process also includes: The physiological signal acquisition device collects second physiological data; To determine whether the second physiological data is abnormal, the treatment effect is determined by comparing the second physiological data with the electrocardiogram data and electroencephalogram data under normal conditions, and a first threshold is set according to different treatment levels. When the second physiological data is abnormal, the implanted neurostimulation device actively adjusts the stimulation parameters according to the severity of the fall and sends an alarm message to the monitoring device. This includes: obtaining the judgment result of the patient's fall severity; if the patient has a mild fall, adjusting the conventional therapeutic stimulation parameter group to the first stimulation parameter group and sending the adjustment information of the stimulation parameter group to the monitoring device; if the patient has a moderate or severe fall, determining whether the treatment effect exceeds the first threshold; if it exceeds the first threshold, adjusting the stimulation parameter group to the second stimulation parameter group; if it does not exceed the first threshold, using the first stimulation parameter group and sending the adjustment information of the stimulation parameter group to the monitoring device.

2. The implantable neurostimulation device according to claim 1, characterized in that, The degree of the fall includes a minor fall; the corresponding alarm action based on the degree of the fall includes recording the time of occurrence of the minor fall event.

3. The implantable neurostimulation device according to claim 2, characterized in that, Following the recording of the time of occurrence of minor falls, the following is also included: The frequency of minor falls is determined based on the recorded time of occurrence of minor falls; Alarm messages are sent to the monitoring device based on the frequency of minor falls.

4. The implantable neurostimulation device according to claim 2, characterized in that, The degree of fall is determined based on acceleration data within a preset time period after the fall event, including: Determine whether the patient can stand up based on the acceleration data within a preset time after the fall event; If a patient stands up within the preset time, it is considered a minor fall.

5. The implantable neurostimulation device according to claim 1, characterized in that, The degree of fall includes moderate and severe falls; the corresponding alarm actions to be executed according to the degree of fall include: When the fall is classified as a moderate fall, an alarm message is sent to nearby electronic devices or to the guardian's device using the first signal strength communication method. When the fall is classified as a severe fall, an alarm message is sent to nearby electronic devices or to the guardian's device using the second signal strength communication method. The second signal strength is higher than the first signal strength.

6. The implantable neurostimulation device according to claim 5, characterized in that, The degree of fall is determined based on acceleration data within a preset time period after the fall event, including: Determine whether the patient can stand up based on the acceleration data within a preset time after the fall event; If the patient does not stand up within the preset time, determine whether the first physiological data is abnormal. If the first physiological data is normal, it is determined to be a moderate fall; If the first physiological data is below 60% of the threshold, it is judged as a severe fall.

7. The implantable neurostimulation device according to claim 5, characterized in that, The first signal strength communication method includes a first signal strength and / or a first transmission interval, and the second signal strength communication method includes a second signal strength and / or a second transmission interval; Wherein, the first transmission interval is greater than the second transmission interval.

8. The implantable neurostimulation device according to claim 1, characterized in that, The first physiological data includes heart rate data and / or electrocardiogram amplitude data.

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