A smart back-patting system

Abstract

This invention relates to the field of medical device technology, specifically to an intelligent back-patting and turning system. It includes: a timing module for setting the time interval for back-patting and turning, and generating a control signal after each time interval to control the back-patting device and the auxiliary back-patting device; a monitoring module for monitoring the patient's physiological signals, including heart rate and respiratory rate; and an adjustment module for analyzing whether the patient is asleep or awake based on the physiological signals. When the patient is asleep, the time interval for back-patting and turning is extended; when the patient is awake, back-patting and turning is performed, and initial parameters for back-patting are generated based on the patient's basic information and physiological signals. The module also continuously analyzes the patient's physiological signals to determine the patient's comfort level during back-patting and turning, and adjusts various parameters of the back-patting device based on the physiological signals and comfort level. This technical solution enables intelligent and personalized back-patting and turning operations.

Description

Technical Field

[0001] This invention relates to the field of medical equipment technology, specifically to an intelligent turning and back-patting system. Background Technology

[0002] Currently, comatose patients, paralyzed patients, critically ill patients who have difficulty turning over, or some elderly people with limited mobility need to lie flat in bed frequently. In order to prevent pressure injuries, avoid bedsore infections, and facilitate the expectoration of sputum, as well as to prevent pressure sores and hypostatic pneumonia in long-term bedridden patients, the patient must first be turned to lie on their side. Then, the nurse repeatedly pats the patient's back with her hands. Since the hands need to move constantly, it becomes quite strenuous after a long time, resulting in low work efficiency.

[0003] Furthermore, critically ill patients or elderly individuals often lack self-control and require assistance from several medical staff or family members to turn over. Manual turning can easily cause secondary injury to the patient and wastes medical resources by requiring a large number of medical personnel. While there are indeed some devices on the market that can assist with turning over and back patting, the control systems of these devices are relatively simple and lack intelligent and personalized operation. Summary of the Invention

[0004] The purpose of this invention is to propose an intelligent back-patting system that enables intelligent and personalized back-patting operations.

[0005] To achieve the above objectives, the present invention provides a basic solution: an intelligent back-patting and turning system, comprising: The timing module is used to set the time interval for turning over and patting the back, and generates a control signal after each time interval to control the back-patting device and the auxiliary turning device; The monitoring module is used to monitor the patient's physiological signals, including heart rate and respiratory rate; The adjustment module is used to analyze whether the patient is asleep or awake based on physiological signals. When the patient is asleep, the time interval between turning over and patting the back is extended; when the patient is awake, the turning over and patting back operation is performed. The module also generates initial parameters for patting the back based on the patient's basic information and physiological signals. Furthermore, the module continuously analyzes the patient's physiological signals to obtain the patient's comfort level during turning over and patting the back, and adjusts various parameters of the patting device based on the physiological signals and comfort level.

[0006] The beneficial effects of the basic solution are as follows: The timing module allows for setting the cycle of turning and patting the back according to the patient's actual situation. Once the set cycle is reached, the device automatically starts, avoiding inaccurate timing or forgetfulness during manual operation. The monitoring module tracks the patient's physiological signals, monitoring their health status. The adjustment module automatically assesses the patient's condition based on these signals. When the patient is asleep, the originally set turning and patting cycle can be intelligently extended appropriately to avoid disturbing their sleep and affecting their mental state, thus promoting better recovery. Furthermore, the initial parameters generated by combining the patient's basic information and physiological signals are more tailored to their actual situation, ensuring the safety and comfort of the turning and patting. In addition, continuous collection of the patient's physiological signals reveals the comfort level of the turning and patting, allowing for personalized adjustments to the device parameters based on these signals and comfort levels. This makes the turning and patting more comfortable for the patient, reducing pain and promoting recovery—an effect difficult to achieve manually.

[0007] As a feasible and preferred solution, the monitoring module collects the patient's physiological signals through physiological signal sensors, including heart rate sensors and respiratory rate sensors. These sensors are worn and come into direct contact with the patient, transmitting data wirelessly.

[0008] As a feasible preferred embodiment, the monitoring module is also used to send the patient's physiological signals to a remote terminal for monitoring the patient's physical condition.

[0009] As a feasible preferred solution, the adjustment module is also used to predict changes in the patient's physiological signals based on the trend of changes in the patient's physiological signals monitored during turning over and patting the back, and to adjust the parameters in advance when it is predicted that the patient's physiological signals will exceed the comfort range.

[0010] As a feasible preferred solution, it also includes a voice module for playing voice prompts, which prompts the patient to turn over and pat their back before the time interval is about to expire; it is also used to receive voice commands, recognize voice commands through a voice recognition algorithm, and generate control commands to control the back-patting device and the assisted turning device.

[0011] As a preferred feasible solution, the voice module further includes a function for recording voiceprint information and recognizing the voiceprint information in the received voice command. The recognized voiceprint information is compared with the recorded voiceprint information, and the voice command can only be executed if the two match.

[0012] As a feasible preferred solution, it also includes an early warning module for analyzing the patient's physiological signals. When abnormal physiological indicators of the patient are detected, an early warning signal is issued in a timely manner. The early warning signal is issued through a voice module to notify the bedside monitoring personnel, or sent to a remote terminal via the network for reminder.

[0013] As a feasible preferred solution, it also includes an operation module for operating the system via a touchscreen or voice commands, including setting the time interval for turning over and patting the back, viewing physiological signals, adjusting patting parameters, and viewing the patient's turning and patting records in real time to understand the patient's usage.

[0014] As a feasible preferred embodiment, the timing module is also used to record the patient's sleep duration. When the patient is detected to be asleep, the timing module starts recording the sleep duration, and wakes the patient when the sleep duration reaches the preset sleep duration.

[0015] As a feasible and preferred option, the patient is awakened by one or both of the voice module and the vibration module; The voice module will play soft music to wake the patient when the wake-up time is reached. The voice module will control the music volume from soft to loud, and the volume will be louder the longer the wake-up time is reached. The vibration module has multiple vibration levels from weak to strong. When it is necessary to wake up the patient, the vibration module will adjust the vibration level from weak to strong. The longer the wake-up time, the higher the vibration level. Attached Figure Description

[0016] Figure 1 A schematic diagram of an intelligent back-patting and turning system; Figure 2 This is a schematic diagram of the structure of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0017] To make the technical solution and advantages of this application clearer, the technical solution of the present invention will be further described in detail below with reference to the accompanying drawings. It is understood that the specific embodiments described herein are only some embodiments of the present invention, and are only used to explain this application, not to limit it. It should be noted that the technical features or combinations of technical features described in the following embodiments should not be considered isolated; they can be combined with each other to achieve better technical effects. The same reference numerals appearing in the accompanying drawings of the following embodiments represent the same features or components, and can be applied to different embodiments.

[0018] Furthermore, unless otherwise defined, the technical or scientific terms used in this invention description shall have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains.

[0019] Furthermore, it should be noted that in the description of this invention, the terms "first," "second," "third," etc., are used only for distinguishing descriptions and should not be construed as indicating or implying relative importance.

[0020] The present invention will now be described in further detail with reference to the accompanying drawings: Explanation of reference numerals in the attached drawings: Electronic device 500, processor 501, communication interface 502, memory 503, bus 504.

[0021] Reference Figure 1 A smart back-patting and turning system includes: The bed frame and a back-patting device detachably connected to the bed frame are provided. The bed frame is equipped with an auxiliary turning device. The bed frame is also equipped with a connecting device connected to the back-patting device. The bed body is also equipped with a drive device electrically connected to the connecting device. The drive device is used to drive the auxiliary turning device to operate.

[0022] The timing module is used to set the time interval for turning over and patting the back, and generates a control signal after each time interval to control the back-patting device and the auxiliary turning device to perform the turning and patting operation.

[0023] The monitoring module is used to monitor the patient's physiological signals, including heart rate and respiratory rate. These signals are collected by physiological signal sensors, including heart rate and respiratory rate sensors in one embodiment. The modules are worn and in direct contact with the patient, transmitting data wirelessly. This allows for continuous monitoring of the patient's physiological condition without disturbing them, thus enabling personalized care. The monitoring module also transmits the patient's physiological signals to a remote terminal, allowing medical staff or caregivers to monitor the patient's condition, observe their turning and back-patting, and adjust parameters according to the patient's needs.

[0024] The adjustment module includes a state recognition submodule, which analyzes the patient's physiological signals to determine whether the patient is asleep or awake. It determines whether to perform the turning and back-patting operation only when the patient is awake. Even if a time interval ends, if the patient is asleep, the turning and back-patting operation will be delayed until the patient is detected to have transitioned from sleep to wakefulness. It also includes a parameter adjustment submodule, which generates initial parameters for the back-patting operation based on the patient's basic information, including age, height, weight, and disease information. The module matches similar parameters from other patients using the patient's disease information and fine-tunes these parameters based on the patient's age, height, and weight to obtain the initial parameters for this patient. These initial parameters include the force, frequency, location, and range of the back-patting. The fine-tuning submodule is used to analyze the patient's comfort level during back-patting and turning based on physiological signals. Patients of different ages or with different diseases have corresponding normal ranges of physiological signals such as heart rate and respiratory rate. In this embodiment, the patient's comfort level is obtained by analyzing the degree of deviation of the patient's physiological signals during back-patting and turning from the normal range, and the parameters of the back-patting device are adjusted according to the physiological signals and comfort level. The patient's comfort level is set with different comfort ranges according to different ages. When the comfort level exceeds the corresponding comfort range, the parameters are adjusted again according to the specific physiological signals.

[0025] In one embodiment, the fine-tuning submodule is also used to predict changes in the patient's physiological signals based on the trend of changes in the patient's physiological signals monitored during turning over and patting the back. When it is predicted that the patient's physiological signals will exceed the comfort range, the parameters are adjusted in advance to keep the patient in a comfortable state as much as possible.

[0026] The voice module includes a playback submodule and a recording submodule. The playback submodule plays voice prompts, alerting the patient before the scheduled time interval for turning and back patting, allowing the patient to prepare in advance and avoiding discomfort or even injury from sudden movements. The recording submodule receives voice commands, recognizes them using a voice recognition algorithm, and generates control commands to operate the back patting and turning assist devices. The recognition submodule records the voiceprint information of the patient, caregiver, or medical staff, and identifies the voiceprint information in received voice commands. It compares the identified voiceprint information with the recorded voiceprint information; only if they match can the voice command be executed. The voice module allows patients to conveniently and actively control the back patting and turning assist devices while lying in bed, requiring clear voice commands to operate, avoiding accidental activation via buttons. The recognition submodule ensures that only those with recorded voiceprint information can control the back patting and turning assist devices, guaranteeing safe use of the equipment.

[0027] The early warning module analyzes the patient's physiological signals, such as heart rate and respiratory rate. When abnormalities are detected, it promptly issues an early warning signal to alert medical staff to take timely measures. The early warning signal can be sent via voice module to bedside monitoring personnel or via network to a remote terminal.

[0028] It also includes an operation module for operating the system via touchscreen or voice commands, setting the time interval for turning and patting the back, viewing physiological signals, and adjusting patting parameters. Simultaneously, medical staff can view patients' turning and patting records in real time through the back-end management system to understand patient usage and provide better nursing care.

[0029] Example 2 The technical feature that distinguishes this embodiment from Embodiment 1 is that the recording submodule is also used to collect ambient sounds around the bed before the turning and back-patting operation is performed, and to obtain the current situation status by analyzing the ambient sounds. The adjustment module then determines whether the turning and back-patting operation needs to be delayed based on the situation status.

[0030] The recording submodule extracts human voices from the ambient sound, determines the source of the voice based on voiceprint information, and identifies the content of the voice using speech recognition technology. When it detects that the patient is talking to someone, the turning and back-patting operation is performed only after the patient finishes talking. Simultaneously, the urgency of the conversation is determined based on its relevance to the patient's disease information, and the adjustment module adjusts the delay time accordingly. The more relevant the conversation is to the patient's disease information, the longer the delay, preventing the turning and back-patting operation from being delayed due to casual conversation. If no patient speech is detected, but eating-related content or sounds are detected, the adjustment module will also delay the turning and back-patting operation, continuously analyzing the ambient sound. The operation will only be performed when no eating-related content or sounds are detected, or when keywords such as "finished eating" or "eaten well" are detected, to avoid disrupting the patient's daily routine.

[0031] Example 2 The key technical difference between this embodiment and Embodiments 1 and 2 is that the timing module also records the patient's sleep duration. When the patient is detected to be asleep, the timing module begins recording the sleep duration, and wakes the patient when the preset sleep duration is reached. Timing only begins when the patient is actually asleep ensures accurate and sufficient sleep duration, which is beneficial for the patient's recovery.

[0032] In one embodiment, the voice module will play soft music to wake the patient upon wake-up, and the voice module will control the music volume from soft to loud, with the volume increasing as the wake-up time increases.

[0033] In another embodiment, a vibration module is installed on the bed to wake the patient. The vibration module has multiple vibration levels ranging from weak to strong. When it is necessary to wake the patient, the vibration module will adjust the vibration level from weak to strong, with the vibration level increasing as the waking time increases, to avoid startling the patient with an overly abrupt waking method.

[0034] Example 4 The technical difference between this embodiment and Embodiment 3 is that the adjustment module is further used to analyze the patient's sleep cycle based on the patient's physiological signals after the patient enters a sleep state. The patient's sleep cycle generally includes several cycles, and the patient will switch between deep sleep, light sleep, and REM sleep in each sleep cycle. Based on the patient's historical sleep data and the sleep data of the current night, the module analyzes and predicts the entry time point of the patient's last sleep cycle's light sleep or REM sleep. The entry time point is compared with the end time point of the preset sleep duration. If the entry time point is earlier than the end time point and the difference is not greater than the difference threshold, the patient is awakened after the entry time point is reached. If the difference is greater than the difference threshold, the patient is awakened when the time point earlier than the end time point and the difference between the end time point and the difference threshold is reached. If the entry time point is later than the end time point and the difference is not greater than the difference threshold, the patient is awakened after the entry time point is reached. If the difference is greater than the difference threshold, the patient is awakened when the time point later than the end time point and the difference threshold is reached.

[0035] The difference threshold is adjusted based on the relationship between the preset end time of sleep duration and the end time of the time interval set in the timing module. First, a baseline difference threshold is set. If the preset end time of sleep duration is earlier than the end time of the time interval, a first adjustment value is generated to adjust the baseline difference threshold, decreasing it; the larger the interval between the two time points, the greater the decrease. If the preset end time of sleep duration is later than the end time of the time interval, a second adjustment value is generated to adjust the baseline difference threshold, increasing it; the larger the interval between the two time points, the greater the increase.

[0036] The above technical solutions can improve patients' sleep quality. Patients will be more comfortable when awakened during light sleep or REM sleep, which is more conducive to their recovery. At the same time, it can minimize the delay in the patient's plan to turn over and pat their back.

[0037] This disclosure also provides an intelligent back-patting method, which utilizes an intelligent back-patting system from any of the above embodiments.

[0038] This disclosure also provides a storage medium storing a computer program. When the computer program is executed by a processor, it can implement all the steps of an intelligent back-patting method in any of the above embodiments.

[0039] Those skilled in the art will understand that implementing all or part of the processes in an intelligent back-patting method can be accomplished by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium. When executed, the program can include the processes of various embodiments of the intelligent back-patting method. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0040] This application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps of the intelligent turning over and patting back method described in any of the above embodiments. In this application embodiment, the processor is the control center of the computer system, and can be a processor of a physical machine or a processor of a virtual machine.

[0041] Reference Figure 2 The electronic device 500 includes at least one processor 501, at least one communication interface 502, at least one memory 503, and at least one bus 504. The bus 504 is used for communication between these components, the communication interface 502 is used for signaling or data communication with other node devices, and the memory 503 stores machine-readable instructions executable by the processor 501. When the electronic device 500 is running, the processor 501 communicates with the memory 503 via the bus 504. When the machine-readable instructions are invoked by the processor 501, they execute the steps of an intelligent back-patting method as described in any of the above embodiments.

[0042] The above content is merely an embodiment of the present invention. Commonly known structures and characteristics of the solutions are not described in detail here. Those skilled in the art are aware of all common technical knowledge in the field prior to the application date or priority date, are aware of all existing technologies in that field, and have the ability to apply conventional experimental methods prior to that date. Those skilled in the art can improve and implement this solution based on the guidance provided in this application and their own capabilities. Some typical known structures or methods should not be obstacles for those skilled in the art to implement this application. It should be noted that those skilled in the art can make several modifications and improvements without departing from the structure of the present invention. These should also be considered within the scope of protection of the present invention, and will not affect the effectiveness of the implementation of the present invention or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. A smart roll-over and back-patting system, characterized by: include: The timing module is used to set the time interval for turning over and patting the back, and generates a control signal after each time interval to control the back-patting device and the auxiliary turning device; The monitoring module is used to monitor the patient's physiological signals, including heart rate and respiratory rate; The adjustment module is used to analyze whether the patient is asleep or awake based on physiological signals. When the patient is asleep, the time interval between turning over and patting the back is extended. When the patient is awake, the turning over and patting back operation is performed. The module generates the initial parameters for patting the back based on the patient's basic information and physiological signals. It is also used to continuously analyze the patient's physiological signals to obtain the patient's comfort level during turning over and patting the back, and adjust the various parameters of the patting device in combination with the physiological signals and comfort level. The adjustment module is also used to predict changes in the patient's physiological signals based on the trend of changes in the patient's physiological signals monitored during turning over and patting the back. When it is predicted that the patient's physiological signals will exceed the comfort range, the parameters are adjusted in advance. It also includes a voice module, which is used to play voice prompts, and to remind the patient that turning over and patting the back is about to occur before the time interval is about to be reached; it is also used to receive voice commands, recognize voice commands through a voice recognition algorithm, and generate control commands to control the back-patting device and the assistive turning device. The voice module also includes a function for recording voiceprint information and recognizing voiceprint information in received voice commands. The recognized voiceprint information is compared with the recorded voiceprint information, and the voice command can only be executed if the two match. The adjustment module is also used to analyze the patient's sleep cycle based on physiological signals after the patient enters a sleep state. The patient's sleep cycle generally consists of several cycles, and the patient switches between deep sleep, light sleep, and REM sleep within each cycle. Based on the patient's historical sleep data and the sleep data of the current night, the module analyzes and predicts the entry time of the patient's last sleep cycle's light sleep or REM sleep. The entry time is compared with the end time of the preset sleep duration. If the entry time is earlier than the end time and the difference is not greater than the difference threshold, the patient is awakened upon reaching the entry time. If the difference is greater than the difference threshold, the patient is awakened when the time point earlier than the end time and the difference from the end time equals the difference threshold is reached. If the entry time is later than the end time and the difference is not greater than the difference threshold, the patient is awakened upon reaching the entry time. If the difference is greater than the difference threshold, the patient is awakened when the time point later than the end time and the difference from the end time equals the difference threshold is reached. The difference threshold is adjusted based on the relationship between the preset end time of sleep duration and the end time of the time interval set in the timing module. First, a baseline difference threshold is set. If the preset end time of sleep duration is earlier than the end time of the time interval, a first adjustment value is generated to adjust the baseline difference threshold, lowering the difference threshold. The larger the interval between the two time points, the greater the decrease. If the preset end time of sleep duration is later than the end time of the time interval, a second adjustment value is generated to adjust the baseline difference threshold, raising the difference threshold. The larger the interval between the two time points, the greater the increase.

2. The intelligent roll-over and back-patting system according to claim 1, wherein: The monitoring module collects the patient's physiological signals through physiological signal sensors, including a heart rate sensor and a respiratory rate sensor. These sensors are worn and come into direct contact with the patient, transmitting data wirelessly.

3. The intelligent roll-over and back-patting system according to claim 1, wherein: The monitoring module is also used to send the patient's physiological signals to a remote terminal, so as to monitor the patient's physical condition through the remote terminal.

4. The intelligent roll-over and back-patting system according to claim 1, wherein: It also includes an early warning module, which analyzes the patient's physiological signals and issues an early warning signal in a timely manner when abnormal physiological indicators are detected. The early warning signal is issued through the voice module to notify the bedside monitoring personnel, or sent to a remote terminal via the network for reminder.

5. The intelligent roll-over and back-patting system according to claim 1, wherein: It also includes an operation module for operating the system via touchscreen or voice commands, including setting the time interval for turning over and patting the back, viewing physiological signals, adjusting patting parameters, and viewing the patient's turning and patting records in real time to understand the patient's usage.

6. The intelligent roll-over and back-patting system according to claim 1, wherein: The timing module is also used to record the patient's sleep duration. When the patient is detected to be asleep, the timing module starts to record the sleep duration and wakes the patient when the sleep duration reaches the preset sleep duration.

7. The intelligent roll-over and back-patting system according to claim 6, wherein: The patient is awakened by one or both of the voice module and the vibration module; The voice module will play soft music to wake the patient when the wake-up time is reached. The voice module will control the music volume from soft to loud, and the volume will be louder the longer the wake-up time is reached. The vibration module has multiple vibration levels from weak to strong. When it is necessary to wake up the patient, the vibration module will adjust the vibration level from weak to strong. The longer the wake-up time, the higher the vibration level.

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