Condition detection method for high-frequency energy device and energy device

Abstract

This disclosure provides a state detection method suitable for high-frequency energy equipment, comprising: reading a level signal to be detected; sampling the level signal at a first sampling interval T1 to obtain N level samples; and determining the current level state of the level signal based on the potential detection results of the N level samples. The technical solution of this disclosure eliminates the need for filter design, enabling state signal detection through a simple software algorithm. The detection process is fast and low-power, and the detection results are stable and reliable. It avoids interference from high-frequency energy in the state detection process, improves detection accuracy, and ensures the safe use of high-frequency energy equipment.

Description

Technical Field

[0001] This disclosure relates to the field of medical devices, and more particularly to a condition detection method and energy device suitable for high-frequency energy devices. Background Technology

[0002] An ultrasonic electrosurgical unit (referred to as "ultrasonic electrosurgical unit") combines the advantages of ultrasonic scalpels and high-frequency electrosurgical units, possessing excellent coagulation and cutting performance. In use, it connects to the main unit via an ultrasonic transducer (referred to as "transducer"), with the cutting head connected to the transducer. The main unit can then output two types of energy to the cutting head: one is electrical energy with a frequency range of approximately 470kHz and a voltage typically above several hundred volts, enabling electrocoagulation; the other is ultrasonic waves with a frequency of 55kHz, which are converted by the transducer into mechanical vibrations of the corresponding frequency, driving the cutting head to vibrate and complete the cutting operation.

[0003] The main unit typically has multiple energy output ports. Besides the port for connecting to the electrosurgical unit, there are separate ports for connecting to the ultrasonic scalpel, a separate port for connecting to the high-frequency electrosurgical unit, and an interface for connecting to a foot switch. To ensure safe energy output, the main unit needs to detect the port occupancy status. This detection is usually achieved by reading the voltage level of the corresponding port; a high voltage level indicates a port is occupied, and a low voltage level indicates it is unplugged. In addition, the main unit's control panel also has soft switches for main control operation and foot switches for energy excitation. The trigger status of these switches is also transmitted to the main control board via voltage signals.

[0004] However, when high-frequency energy is excited, it will interfere with the detection of the above-mentioned status signal. During detection, the status signal may jump from high level to low level, causing the host to misjudge that the port is not occupied or misjudge that the switch has been triggered, thereby changing the screen display, turning the energy output on or off, causing inconvenience to operation and potentially causing safety hazards. Summary of the Invention

[0005] This invention provides a method, apparatus, and device for status detection of high-frequency energy equipment, which solves the problem caused by high-frequency interference to the port level signal of high-frequency energy equipment in the prior art.

[0006] To solve the above-mentioned technical problems, the present invention is implemented as follows:

[0007] This invention provides a condition detection method suitable for high-frequency energy equipment, comprising:

[0008] Read the level signal to be detected; sample the level signal at a first sampling interval T1 to obtain N level samples; determine the current level state of the level signal based on the potential detection results of the N level samples.

[0009] The present invention also provides a condition detection device suitable for high-frequency energy equipment, comprising:

[0010] The signal reading module is used to read the level signal to be detected.

[0011] The sampling module is used to sample the level signal at a first sampling interval to obtain N level samples;

[0012] The determination module is used to determine the current level state of the level signal based on the potential detection results of the N level samples.

[0013] The present invention also provides a medical high-frequency energy device, comprising:

[0014] Energy source, main control board, connection ports;

[0015] The energy source is used to generate high-frequency energy;

[0016] The connection port is used to generate a port level signal indicating the port occupancy status;

[0017] The main control board is used to perform the aforementioned status detection method on the port level signal and update the occupancy status of the connection port according to the detection result.

[0018] The technical solution of this invention eliminates the need for filter design and enables the detection of state signals through a simple software algorithm. The detection process is fast and low-power, and the detection results are stable and reliable. It avoids interference from high-frequency energy in the state detection process, improves detection accuracy, and ensures the safe use of high-frequency energy equipment. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of this disclosure or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 A schematic diagram illustrating an application scenario of the state detection method provided in the embodiments of this disclosure;

[0021] Figure 2 A flowchart of a state detection method for high-frequency energy equipment provided in this disclosure embodiment;

[0022] Figure 3 A schematic diagram of the algorithm flow for probability-based state detection provided in this embodiment of the disclosure;

[0023] Figure 4 A flowchart of a state detection method provided in another embodiment of this disclosure;

[0024] Figure 5 A block diagram of a condition detection device for high-frequency energy equipment provided in the embodiments of this disclosure;

[0025] Figure 6 A schematic diagram of a medical high-frequency energy device provided in an embodiment of this disclosure. Detailed Implementation

[0026] To enable those skilled in the art to better understand the technical solutions of this disclosure, the technical solutions of this disclosure will be clearly and completely described below with reference to the accompanying drawings of the embodiments of this disclosure. Obviously, the described embodiments are merely some embodiments of this disclosure, and not all embodiments. Based on the embodiments of this disclosure, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this disclosure. Furthermore, for clarity, parts unrelated to the described exemplary embodiments have been omitted from the drawings.

[0027] In this specification, it should be understood that terms such as "comprising" or "having" are intended to indicate the presence of features, figures, steps, behaviors, components, portions, or combinations thereof disclosed in this disclosure, and are not intended to exclude the possibility of one or more other features, figures, steps, behaviors, components, portions, or combinations thereof being present or added. It should also be noted that, unless otherwise specified, embodiments and features within embodiments of this disclosure can be combined with each other.

[0028] First, the application scenarios of the methods in the embodiments of this disclosure will be explained.

[0029] Figure 1 This is a schematic diagram illustrating an application scenario of the state detection method provided in this embodiment.

[0030] like Figure 1As shown, the main unit 30 has multiple connection ports on its panel, with interface 10 used to connect to the transducer and the electrosurgical unit. One end of the transducer 40 extends a cable to a plug 20, and the other end connects to the electrosurgical unit 50. The electrosurgical unit has a handle for easy gripping, with a trigger switch for activating energy, and buttons for selecting energy type and level. A blade 51 extends from the front of the handle, with jaws 52 at the end. After gripping biological tissue, the jaws 52 can discharge or vibrate it to complete the corresponding surgical operation. When using the electrosurgical unit, the transducer plug is first inserted into the corresponding interface to connect the transducer to the main unit, and then the electrosurgical unit is connected to the transducer. The operator selects and activates the energy using the trigger and switch on the electrosurgical unit handle. In other scenarios, for operator convenience, the main unit can also activate energy via a foot switch.

[0031] After the host device is powered on, it needs to check the occupancy or connection status of each port. If it detects that the transducer 40 is connected to the interface 10, it will be connected to the energy source output circuit inside the host. The display screen of the host device will also display the corresponding prompt information. When the operator presses the energy activation switch, the corresponding energy source is activated, and the jaws of the cutter head will generate corresponding discharge or vibration. Once the host device detects that the interface 10 is not connected, it will no longer output energy to the interface 10, and the display screen will indicate that it is not connected. This is the safety mechanism of the host device.

[0032] like Figure 1 As shown, the main unit's control panel has multiple power output ports 12 for connecting other surgical instruments. The control panel also includes a soft switch 13, such as a touch-sensitive switch, which allows the operator to forcibly shut off the power output without disconnecting the main unit's power. The soft switch generates an electrical signal when triggered.

[0033] In addition, the back of the main unit may also have a foot switch connection port. The foot switch can replace the energy activation switch on the handle for convenient operation. The foot switch is also connected to the main unit via a cable and plug. When the foot switch is triggered, it will also generate a corresponding level signal.

[0034] During high-frequency energy excitation, the host device may obtain incorrect results when detecting the occupancy or on / off status of various ports, thereby altering the screen display, stopping energy output, or disabling port functions. This can cause inconvenience to the operator, affect the surgical process, or even lead to safety issues. Therefore, for high-frequency electrical energy devices, it is necessary to enhance the reliability of detecting the occupancy status of ports or the trigger status of switches.

[0035] Based on this, embodiments of the present disclosure provide a state detection method suitable for high-frequency energy devices.

[0036] Figure 2 A flowchart of a state detection method for high-frequency energy devices provided in an embodiment of this disclosure.

[0037] like Figure 2 As shown, the state detection method includes steps S210 to S240.

[0038] S210: Read the level signal to be detected.

[0039] The level signal to be detected can be generated by the energy output port when it detects that the port is occupied, for example... Figure 1 The energy output port 10 of the transducer is connected in the middle. If the energy output port is occupied, the port detection generates a high-level signal.

[0040] The level signal to be detected can also be generated by a soft switch on the control panel when triggered. This switch does not turn off the power to the host device, but forces the host device to stop power output, providing a quicker operation in some emergency situations. The soft switch generates a high-level signal when triggered.

[0041] The level signal to be detected can also be generated by a foot switch when triggered. The foot switch connects to the main unit via a cable and plug; when triggered, it generates a high-level signal. Based on this signal, the main unit outputs the corresponding energy to the device.

[0042] Regardless of the signal level, it can be affected by high-frequency energy. A high level may transition to a low level, and vice versa. After detecting the status of the signal level, the main control board must execute the corresponding action. For example, if a port is outputting energy, when the port level signal detecting port occupancy transitions to a low level, the main control board will treat the port as idle. However, such level transitions are often short-lived, leading to frequent switching of energy output and corresponding frequent switching of the screen display. This causes considerable inconvenience to the user, not only affecting the surgical process but also potentially generating greater high-frequency interference.

[0043] S220: Sample the level signal at the first sampling interval to obtain N level samples.

[0044] The main control board reads the level signal from the corresponding port or switch and samples the level signal at a set sampling interval within a set sampling period. The default sampling interval can be different for different level signals.

[0045] The default sampling interval for different signal levels is related to the importance of that signal. In some implementations, the first sampling interval is the default sampling interval. The first sampling interval is determined based on the importance score of the signal level and the basic sampling interval; the higher the importance score, the smaller the first sampling interval. For example, the switch level signal generated by a soft switch on a control panel has the highest importance score. Under the same conditions, the first sampling interval for the switch level signal of the soft switch is smaller, meaning that it needs to be sampled at a higher speed. This results in a shorter time to obtain N samples, allowing the main control board to make a status determination more quickly.

[0046] The default sampling interval for different signal levels is related to the degree to which the signal is affected by high-frequency interference. For example, whether the line between the signal and the main control board is shielded, or whether it is farther away from the high-frequency energy source, can all affect the degree of high-frequency interference. In implementation, based on actual measurement data, it can be determined which ports or switches are more susceptible to interference, and the default sampling interval of the signal level generated by the ports susceptible to interference can be set to be smaller.

[0047] The default sampling interval for different signal levels is related to the time sensitivity of the corresponding port or switch. For example, a soft switch requires a fast response from the main control board after being triggered, thus having higher time sensitivity and therefore a smaller first sampling interval.

[0048] In some implementations, the basic sampling interval can be set to 0.1ms, N can be set to 100, and when no importance score is assigned, the corresponding first sampling interval is 0.1ms. After 10ms, 100 samples can be collected, which means that 10ms of sampling time is required before the master controller can respond.

[0049] S230: Determine the current level state of the level signal based on the potential detection results of N level samples.

[0050] After obtaining N level samples, there are two ways to detect the potential and determine the level state.

[0051] The first method involves detecting the potential of N level samples to obtain N potential results. Then, based on the proportion of high potential (P) and low potential (Q) in the potential results, the current level state of the signal is determined.

[0052] The obtained N level samples are subjected to potential detection. This process does not require changing the original detection circuit, but only requires recording the N potential results.

[0053] Unlike existing technologies that immediately execute corresponding actions upon detecting a potential result, this embodiment requires N detections. After recording N potential results, the number of times a high potential (P) and the number of times a low potential (Q) appears in the N potential results are counted. If P > Q, the level signal is determined to be a high potential.

[0054] For example, if the threshold voltage for a high-level signal in the original signal is 2.5V, under high-frequency interference, the original threshold voltage can be lowered to 2.2V, or an additional interference range of 1.2V to 2.2V can be added. If the detected voltage falls within this range, it is not considered a valid result. A detected voltage below 1.2V is considered a low potential, and a voltage above 2.2V is considered a high potential. Since high-frequency interference is an intermittent signal superposition, after a period of observation, the current level state can be reflected with high accuracy based on the probability of high and low potentials occurring.

[0055] As an example, Figure 3 A flowchart is provided for implementing the first probability-based detection method provided in this disclosure on the connection port when connecting surgical instruments.

[0056] like Figure 3 As shown, the host device starts automatic control based on the program, performs algorithmic sampling of the level signals generated by the port, and performs potential detection on the sampled samples. N potential detections are performed on N samples, and then the number of high potentials and low potentials in the N potential results are counted, calculating their respective proportions P and Q. If the proportion P of high potentials is greater than the proportion Q of low potentials, the port is confirmed to be in use; otherwise, it is confirmed to be in idle state. The determination result is used by the main controller to execute the corresponding operation. After this sampling determination is completed, the process returns to the step of algorithmic sampling of the level signals, and repeats cyclically.

[0057] The second method involves arithmetically averaging the levels of N level samples to obtain the average level, and then determining the current level state of the signal based on the average level. This method involves adding the level values ​​of the N samples and dividing by N. It utilizes the randomness of superimposed high-frequency interference, reducing level fluctuations caused by interference through arithmetic averaging. Only one judgment is needed to obtain the final result, simplifying the detection process and achieving ideal results.

[0058] The technical solution in this embodiment eliminates the need for hardware filter design. Potential detection of the state signal can be achieved through a simple software algorithm. The detection process is fast and low-power, and the results are stable and reliable. It avoids interference from high-frequency energy in the state detection process, improves detection accuracy, and ensures the safe use of high-frequency energy equipment. Experimental verification shows that both methods can make accurate judgments, and the main control system can provide a fast and accurate response.

[0059] Furthermore, the method in this embodiment may also include the step of adaptively adjusting the sampling interval according to interference.

[0060] Figure 4 A flowchart of a state detection method provided in another embodiment of this disclosure.

[0061] like Figure 4 As shown, the method may further include step S240 based on the methods S210 to S230 of the aforementioned embodiments.

[0062] S240: Based on the potential detection results of N level samples, determine the second sampling interval for subsequent samples.

[0063] This embodiment determines the degree of interference of the signal level by analyzing the distribution of the level values ​​of N samples.

[0064] By performing potential detection on N level samples to obtain N potential results, the current interference status of the level signal can be determined based on the distribution of the proportion P of high potentials in the potential results, thereby determining the subsequent sampling interval.

[0065] Specifically, if the proportion P of high potentials is greater than the upper limit of the preset range, the level signal is subsequently sampled at a second sampling interval T2 to obtain M level samples, where T2 > T1, and M * T2 = N * T1. If the proportion P of high potentials is less than the lower limit of the preset range, the level signal is subsequently sampled at a second sampling interval T2 to obtain M level samples, where T2 <T1,M*T2=N*T1。

[0066] When the proportion P of high potentials is greater than the upper limit of the preset range, it means that the current signal level is less affected by interference and the probability of a level transition is very small, so the sampling interval can be increased. When the proportion P of high potentials is less than the lower limit of the preset range, it means that the current signal level is more affected by interference and the occurrence of high-level transitions is more frequent, so the sampling interval can be decreased. M*T2=N*T1 means that the time taken for the current state determination and the next state determination remains unchanged. Increasing the sampling interval reduces the number of samples obtained, and decreasing the sampling interval increases the number of samples obtained.

[0067] The preset range for the probability of high potential occurrence can be set to 65%–85%, with an upper limit of 85% and a lower limit of 65%. For example, if 88 out of 100 samples are high-level, it indicates that the current signal level is less affected by interference. However, if only 60 of them are high-level, it indicates that the current signal level is significantly affected by interference.

[0068] In the way of arithmetic averaging of N level values, the degree of interference on the current level signal can be determined according to the distribution of the average level, and the subsequent sampling interval can be determined accordingly. Specifically, if the average level exceeds the reference interval, the subsequent sampling of the level signal is performed at the second sampling interval T2, and M level samples are obtained, where T2 < T1 and M * T2 = N * T1. In most cases, the level value after arithmetic averaging will fall within the reference interval. Only when the interference is too large is it possible to exceed this reference interval. Therefore, it is necessary to increase the sampling density, that is, reduce the sampling interval.

[0069] In this embodiment, the interference on the level signal is determined based on the potential result of this time, and the granularity of subsequent sampling is adaptively adjusted. In the case of no interference or small interference, coarse-grained sampling detection is used, and in the case of large interference, fine-grained sampling detection is used, thereby reducing unnecessary resource waste and improving the adaptive ability of the host device.

[0070] Correspondingly, the specification of the present disclosure also provides a state detection device 500 suitable for high-frequency energy devices.

[0071] Figure 5 It is a block diagram of the state detection device suitable for high-frequency energy devices provided by the embodiments of the present disclosure.

[0072] As Figure 5 shown, the state detection device 500 includes a signal reading module 510, a sampling module 520, and a determination module 530. The state detection device 500 can be implemented by software, hardware, or a combination of both, and is capable of executing the state detection method suitable for high-frequency energy devices described above.

[0073] The signal reading module 510 is used to read the level signal to be detected.

[0074] The sampling module 520 is used to sample the level signal at the first sampling interval to obtain N level samples;

[0075] The determination module 530 is used to determine the current level state of the level signal based on the potential detection result of the N level samples.

[0076] The state detection device of the embodiments of the present disclosure does not need to introduce the design of a filter, and can accurately determine the state signal through a simple software algorithm. The detection process is fast and low-power consumption, the detection result is stable and reliable, avoiding the interference of high-frequency energy on the state detection process, improving the detection accuracy, and ensuring the safe use of high-frequency energy devices.

[0077] Based on the same inventive concept, the specification of the present disclosure also provides a medical high-frequency energy device 600 applying the above state detection method.

[0078] Figure 6 A schematic diagram of a medical high-frequency energy device provided in an embodiment of this disclosure.

[0079] like Figure 6 As shown, the device includes an energy source 610, a main control board 620, and a connection port 630.

[0080] Energy source 610 is used to generate high-frequency energy. Connection port 630 is used to generate a port level signal indicating port occupancy status. Main control board 620 is used to perform the aforementioned status detection method on the port level signal and update the occupancy status of connection port 630 based on the detection result.

[0081] like Figure 6 As shown, the device may also include a control panel soft switch 640 and a foot switch 650, used to generate a switch-level signal indicating a switch state when triggered. The main control board 620 is also used to perform the aforementioned state detection method on the switch-level signal and stop the energy output of the energy source 610 based on the detection result. The port connecting the foot switch 650 is located on the back of the device, while the other connection ports 630 and the control panel soft switch 640 are located below the control panel on the front of the device. In use, the foot switch 650 can replace the two energy activation switches on the electrosurgical handle, making it more convenient for the operator.

[0082] The medical high-frequency energy device of this disclosure embodiment does not require modification of the hardware structure. It can accurately detect the port status and switch status through software algorithms, which is beneficial to the safe operation of the device.

[0083] This disclosure also provides a computer-readable storage medium, which may be the computer-readable storage medium included in the medical high-frequency energy device described above; or it may be a standalone computer-readable storage medium not assembled into the device. The computer-readable storage medium stores one or more programs, which are used by one or more processors to execute the methods of the embodiments of the present invention.

[0084] Another aspect of this disclosure provides a computer program that, when executed by a processor, causes the processor of the device to perform the various methods described above.

[0085] The foregoing has described specific embodiments of this disclosure. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0086] The various embodiments in this disclosure are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, computer storage media, and computer programs are basically similar to the method embodiments, so the descriptions are relatively simple, and relevant parts can be referred to the descriptions of the method embodiments.

[0087] The apparatus, device, computer storage medium, and computer program and method provided in the embodiments of this disclosure are corresponding to each other. Therefore, the apparatus, device, computer storage medium, and computer program also have similar beneficial technical effects as the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, they will not be repeated here.

[0088] The units or modules described in the embodiments of this disclosure can be implemented in software or programmable hardware. The described units or modules can also be located in a processor, and the names of these units or modules do not necessarily constitute a limitation on the unit or module itself.

[0089] The above description is merely a preferred embodiment of this disclosure and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in this disclosure is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the inventive concept. For example, technical solutions formed by substituting the above-described features with (but not limited to) technical features disclosed in this disclosure that have similar functions.

Claims

1. A condition detection method suitable for high-frequency energy equipment, characterized in that, include: Read the level signal to be detected; The level signal is sampled at a first sampling interval T1 to obtain N level samples; Based on the potential detection results of N level samples, the current level state of the level signal is determined.

2. The method according to claim 1, characterized in that, The step of determining the current level state of the level signal based on the potential detection results of N level samples includes: Potential detection is performed on N level samples to obtain N potential results; The current level state of the voltage signal is determined based on the proportion of high potential (P) and low potential (Q) in the voltage results.

3. The method according to claim 2, characterized in that, Also includes: If the proportion P of the high potential is greater than the upper limit of the preset range, the level signal is subsequently sampled at the second sampling interval T2 to obtain M level samples, where T2>T1, M*T2=N*T1.

4. The method according to claim 2, characterized in that, Also includes: If the proportion P of the high potential is less than the lower limit of the preset range, then the level signal is subsequently sampled at the second sampling interval T2 to obtain M level samples, where T2 <T1,M*T2=N*T1。 5. The method according to claim 1, characterized in that, The step of determining the current level state of the level signal based on the potential detection results of N level samples includes: The average level is obtained by arithmetically averaging the level values ​​of the N level samples, and the current level state of the level signal is determined based on the average level.

6. The method according to claim 1, characterized in that, The first sampling interval is determined based on the importance score of the level signal and the basic sampling interval.

7. The method according to claim 1, characterized in that, The acquisition of the level signal to be detected includes: Acquire the port level signal generated by the energy output port when it detects that the port is occupied; Alternatively, obtain the switch level signal generated when the control panel soft switch or foot switch is triggered.

8. A condition detection device suitable for high-frequency energy equipment, characterized in that, include: The signal reading module is used to read the level signal to be detected. The sampling module is used to sample the level signal at a first sampling interval to obtain N level samples; The determination module is used to determine the current level state of the level signal based on the potential detection results of the N level samples.

9. A medical high-frequency energy device, characterized in that, include: Energy source, main control board, connection ports; The energy source is used to generate high-frequency energy; The connection port is used to generate a port level signal indicating the port occupancy status; The main control board is used to perform the state detection method as described in any one of claims 1-7 on the port level signal, and update the occupancy status of the connection port according to the detection result.

10. The energy device according to claim 9, characterized in that, Also includes: The control panel includes soft switches and foot switches, which generate switch level signals corresponding to the switch state when triggered. The main control board is also used to perform the state detection method as described in any one of claims 1-7 on the switch level signal, and to stop the energy output of the energy source according to the detection result.

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