Hearing prosthesis remote system integrated with rehabilitation training

Abstract

The application discloses a hearing prosthesis remote system integrating machine adjustment and rehabilitation training, comprising a remote platform, a hearing prosthesis and a wireless device, the remote platform comprising a remote debugging module and a rehabilitation module, a multi-round closed loop iterative training link being formed between the components, in each round of the closed loop iterative training link, the wireless device collects rehabilitation feedback signals formed by a user based on a current rehabilitation training scheme; the remote debugging module receives the signals, generates machine adjustment signals based on the rehabilitation feedback signals and historical machine adjustment feedback results, and sends the machine adjustment signals to the wireless device and the rehabilitation module; the wireless device adjusts the hearing prosthesis based on the machine adjustment signals to obtain machine adjustment feedback results of the user; and the rehabilitation module generates a new rehabilitation training scheme for the next round based on the machine adjustment signals and the rehabilitation feedback signals; the system breaks the technical barrier between machine adjustment and rehabilitation, deeply integrates remote machine adjustment and hearing rehabilitation training, provides complete data support for machine adjustment, and realizes accurate machine adjustment.

Description

Technical Field

[0001] This invention belongs to the field of medical device technology, and specifically relates to a remote system for auditory prostheses that integrates machine adjustment and rehabilitation training. Background Technology

[0002] Auditory prosthetic systems mainly include cochlear implant systems and auditory brainstem implant systems. Among these, the cochlear implant system is currently the only effective medical device to help users with severe to profound sensorineural hearing loss regain hearing and speech abilities. This system primarily consists of an implanted electrode array, a receiver stimulator, and an externally worn speech processor. The external speech processor is the "brain" of the entire system; its core function is to collect environmental sound signals, encode and process speech, and wirelessly transmit the encoded electrical signals to the implant, ultimately stimulating the auditory nerve through the electrode array to produce hearing.

[0003] Cochlear implant tuning is a crucial step in the post-operative rehabilitation process. By adjusting parameters such as electrode stimulation intensity, pulse width, frequency, and channel mapping, the output of the cochlear implant is matched to the user's auditory nerve, thereby achieving the best auditory effect. Traditional tuning must be performed one-on-one by a certified tuner in a professional medical institution, which faces three major insurmountable bottlenecks: First, the uneven distribution of geographical areas and resources means that there are fewer than 200 institutions nationwide qualified for cochlear implant tuning, and 90% of them are concentrated in first- and second-tier cities. Users in remote areas need to spend several days and thousands of yuan to travel back and forth for a single tuning session. Some users can only complete 1-2 tuning sessions in their lifetime due to economic or transportation reasons, which seriously affects the rehabilitation effect. Second, the time cost is high: frequent tuning is required during the post-operative rehabilitation period (1 month, 3 months, 6 months, and 12 months after activation), and at least one tuning session is required every year thereafter. A single full tuning process takes 1-3 hours, and with the time spent on appointments, waiting, and travel, it places a great burden on users and their families. Third, the efficiency of doctor-patient communication is low: the adjustment of the device relies heavily on the user's subjective auditory feedback, but hearing-impaired users (especially children, prelingual deaf users, and elderly users with cognitive impairment) have difficulty accurately describing their auditory experience. The device adjuster can only make judgments based on experience, resulting in insufficient adjustment accuracy. About 30% of users did not achieve the expected hearing results after surgery.

[0004] With the rapid development of wireless communication technologies (Bluetooth 5.0, Low Energy Wi-Fi), cloud computing, edge computing, and artificial intelligence, remote cochlear implant adjustment has become an inevitable direction for solving the pain points of traditional adjustment methods. Firstly, the technological foundation is becoming increasingly mature. New-generation cochlear implant sound processors generally integrate Bluetooth modules, supporting wireless data transmission with terminals such as mobile phones and tablets, providing the hardware foundation for remote parameter distribution and status monitoring. Secondly, user demand is driving this development. There are already over 100,000 implanted users in China, and a significant number of these users live in cities without wireless adjustment service points. Remote adjustment technology solves problems such as inconvenience for users traveling to and from hospitals and insufficient medical resources.

[0005] However, existing remote cochlear implant adjustment technology still has the following core technical shortcomings: The current remote tuning system is completely disconnected from rehabilitation training, making it impossible to verify the tuning effect in a timely and quantifiable manner. Existing remote tuning systems only allow for the remote transmission and reception of parameters; the tuning process relies entirely on the user's subjective descriptions (such as "the sound is too loud," "I can't hear clearly") and the doctor's experience-based judgment. After tuning, users need to perform rehabilitation training at home, typically with follow-up appointments every 1-3 months, resulting in an extremely long feedback cycle for tuning effectiveness. This makes it difficult for doctors to accurately distinguish whether poor rehabilitation results are due to inappropriate tuning parameters or improper / insufficient rehabilitation training methods, thus hindering the development of targeted improvement plans. Furthermore, existing remote tuning systems cannot simultaneously perform standardized auditory-verbal rehabilitation training and assessment during the tuning process. Coupled with significant differences in the tuning experience and skill levels among different doctors, this leads to poor consistency in tuning results, severely impacting rehabilitation outcomes. Summary of the Invention

[0006] To solve the above problems, the technical solution of the present invention is as follows: A remote system integrating auditory prosthesis adjustment and rehabilitation training includes a remote platform, an auditory prosthesis, and a wireless device. The wireless device is connected to the auditory prosthesis. The remote platform includes a remote adjustment module and a rehabilitation module. The auditory prosthesis, the wireless device, the remote adjustment module, and the rehabilitation module can form a multi-round closed-loop iterative training link. In each round of closed-loop iterative training link: The wireless device collects rehabilitation feedback signals generated by the user based on the current rehabilitation training program; the remote adjustment module receives the rehabilitation feedback signals, generates an adjustment signal based at least on the rehabilitation feedback signals and historical adjustment feedback results, and sends the adjustment signal to the wireless device and the rehabilitation module; the wireless device adjusts the hearing prosthesis based on the adjustment signal, and obtains adjustment feedback results based on the user's adjustment feedback; the rehabilitation module generates a new rehabilitation training program for the next round based at least on the adjustment signal and the rehabilitation feedback signals. In the first iteration, the current rehabilitation training plan is a preset rehabilitation training plan, and the historical adjustment feedback result is empty; in any subsequent iteration, the current rehabilitation training plan is a new rehabilitation training plan generated by the rehabilitation module in the previous round, and the historical adjustment feedback result is the adjustment feedback result generated in the previous round.

[0007] Preferably, the remote platform includes a remote device communication unit connected to the wireless device. The remote device communication unit is connected to the remote debugging module and is used to at least acquire and send the rehabilitation feedback signal and historical debugging feedback results to the remote debugging module, and to send the debugging signal generated by the remote debugging module to the wireless device; The remote device communication unit is also connected to the rehabilitation module, and is used to at least acquire and send the rehabilitation feedback signal to the rehabilitation module, and send the new rehabilitation training plan generated by the rehabilitation module to the wireless device; The remote debugging module is connected to the rehabilitation module and is used to send the generated debugging signal to the rehabilitation module.

[0008] Preferably, the rehabilitation module includes a rehabilitation core processing unit, a rehabilitation module interaction unit, and a rehabilitation training database. The rehabilitation module interaction unit is connected to the remote debugging module and the rehabilitation core processing unit respectively, and is used to obtain the debugging signal generated by the remote debugging module and send it to the rehabilitation core processing unit. The rehabilitation core processing unit is connected to the remote device communication unit and is used to acquire the rehabilitation feedback signal. The rehabilitation training database stores multiple rehabilitation training programs. The rehabilitation core processing unit retrieves the rehabilitation training program in the rehabilitation training database based at least on the adjustment signal and the rehabilitation feedback signal, and sends it to the remote device communication unit.

[0009] Preferably, the rehabilitation core processing unit retrieves at least two rehabilitation training programs from the rehabilitation training database based on the adjustment signal and the rehabilitation feedback signal. The rehabilitation module further includes a rehabilitation control unit connected to the rehabilitation core processing unit, which sends a rehabilitation control signal to the rehabilitation core processing unit. The rehabilitation core processing unit selects one of the retrieved rehabilitation training programs as the new rehabilitation training program for the next round based on the rehabilitation control signal.

[0010] Preferably, the system is capable of performing multiple closed-loop iterative training operations, each of which includes multiple rounds of the closed-loop iterative training chain, and the interval between two adjacent closed-loop iterative training operations ranges from one month to six months; the final rehabilitation training plan formed by the previous closed-loop iterative training operation serves as the preset rehabilitation training plan for the next closed-loop iterative training operation.

[0011] Preferably, the wireless device includes a wireless device communication unit, a wireless device processing unit, and an interaction unit. The wireless device communication unit is connected to the wireless device processing unit and is used to acquire the machine adjustment signal and the rehabilitation training plan sent by the remote platform and transmit them to the wireless device processing unit; and to send the rehabilitation feedback signal and the historical machine adjustment feedback results transmitted by the wireless device processing unit to the remote platform. The wireless device processing unit is connected to the interaction unit, interacts with the user based on the tuning signal, and generates the tuning feedback result; and interacts with the user based on the current rehabilitation training plan, and generates the rehabilitation feedback signal.

[0012] Preferably, the tuning feedback results include at least one of user loudness feedback data and user comfort feedback data.

[0013] Preferably, the rehabilitation feedback signal includes at least one of speech recognition feedback data and pure tone recognition feedback data.

[0014] Preferably, the hearing prosthesis includes an external processor and an implant, wherein the external processor is connected to the wireless device and the implant is connected to the external processor; The external processor receives and parses the tuning signal transmitted by the wireless device, and transmits the parsed tuning signal to the implant. The implant generates electrical stimulation based on the parsed tuning signal, and collects telemetry data of the neural response generated by the electrical stimulation and transmits it back to the external processor.

[0015] Preferably, the external processor sends the neural response telemetry data to the wireless device, and the remote debugging module receives and generates a new debugging signal based on the rehabilitation feedback signal, the historical debugging feedback results, and the neural response telemetry data.

[0016] The beneficial effects of this invention are as follows: 1. The auditory prosthesis remote system integrating adjustment and rehabilitation training of the present invention forms a closed-loop iterative training link through a remote adjustment module, a rehabilitation module, an auditory prosthesis, and wireless devices. The remote adjustment module can generate new adjustment signals based on real-time rehabilitation feedback signals and historical adjustment feedback results for adjustment of the auditory prosthesis, breaking down the technical barriers between adjustment and rehabilitation, enabling deep integration of remote adjustment and auditory-verbal rehabilitation training, providing complete data support for adjustment, and realizing the precision, personalization, and intelligence of post-cochlear implant treatment.

[0017] 2. The auditory prosthesis remote system of the present invention, which integrates device adjustment and rehabilitation training, compared with the fixed training programs of existing rehabilitation training, can generate a rehabilitation training program that accurately matches the user's hearing ability based on rehabilitation feedback signals and new device adjustment signals. After being controlled and confirmed by the doctor / audiologist, it is sent to the wireless device to assist the user's rehabilitation, so that the rehabilitation training and device adjustment effects are highly compatible with the user, effectively improving the targeted nature of rehabilitation, user compliance and overall rehabilitation efficiency.

[0018] 3. The auditory prosthesis remote system integrating device adjustment and rehabilitation training of the present invention forms a closed-loop iterative training link that can provide real-time feedback on the user's rehabilitation progress, enabling dynamic monitoring and continuous optimization. The device adjustment process no longer relies entirely on the user's subjective description and the doctor's experience judgment. The device adjustment process of the present invention contains standardized rehabilitation feedback support, resulting in higher consistency of device adjustment results and further improving rehabilitation effects.

[0019] 4. The auditory prosthesis remote system of the present invention, which integrates machine adjustment and rehabilitation training, transmits the collected neurological response telemetry data collected by the implant in the auditory prosthesis to a wireless device. This neurological response telemetry data can also be used as the basis for generating machine adjustment signals. Through rehabilitation feedback, historical machine adjustment feedback, and neurological response telemetry data, machine adjustment can be optimized more comprehensively, so that the machine adjustment parameters no longer rely solely on the doctor's experience and basic test data, further improving the accuracy and targeting of remote machine adjustment. Attached Figure Description

[0020] Figure 1 This is a block diagram of the overall structure of a remote auditory prosthesis system integrating machine adjustment and rehabilitation training according to a specific embodiment of the present invention. Figure 2 This is a structural block diagram of a remote auditory prosthesis system integrating machine adjustment and rehabilitation training, according to a specific embodiment of the present invention. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of this application clearer, the application is described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the application. All other embodiments obtained by those skilled in the art based on the embodiments provided in this application without inventive effort are within the scope of protection of this application. Furthermore, it is understood that although the efforts made in such a development process may be complex and lengthy, for those skilled in the art related to the content disclosed in this application, modifications to design, manufacturing, or production based on the technical content disclosed in this application are merely conventional technical means and should not be construed as insufficient disclosure of the content of this application.

[0022] In this application, the reference to "embodiment" means that a specific feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment that is mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0023] Unless otherwise defined, the technical or scientific terms used in this application shall have the ordinary meaning as understood by one of ordinary skill in the art to which this application pertains.

[0024] See Figure 1 and Figure 2 The auditory prosthesis remote system integrating adjustment and rehabilitation training disclosed in this application includes a remote platform 4, an auditory prosthesis, and a wireless device 3. The remote platform 4 is connected to the wireless device 3, and the wireless device 3 is connected to the auditory prosthesis. The remote platform 4 includes a remote adjustment module 42 and a rehabilitation module 41. The auditory prosthesis, wireless device 3, remote adjustment module 42, and rehabilitation module 41 can form a multi-round closed-loop iterative training link. In each round of closed-loop iterative training link: Wireless device 3 collects rehabilitation feedback signals generated by the user based on the current rehabilitation training program; remote adjustment module 42 receives the rehabilitation feedback signals and generates adjustment signals based at least on the rehabilitation feedback signals and historical adjustment feedback results, and sends the adjustment signals to wireless device 3 and rehabilitation module 41; wireless device 3 adjusts the hearing prosthesis based on the adjustment signals and obtains adjustment feedback results based on the user's adjustment feedback; rehabilitation module 41 generates a new rehabilitation training program for the next round based at least on the adjustment signals and rehabilitation feedback signals; In the first iteration, the current rehabilitation training plan is the preset rehabilitation training plan, and the historical adjustment feedback results are empty; in any subsequent iteration, the current rehabilitation training plan is the new rehabilitation training plan generated by the previous rehabilitation module 41, and the historical adjustment feedback results are the adjustment feedback results generated in the previous round.

[0025] The auditory prosthesis remote system integrating tuning and rehabilitation training of the present invention forms a closed-loop iterative training link through a remote tuning module 42, a rehabilitation module 41, an auditory prosthesis, and a wireless device 3. The remote tuning module 42 can generate new tuning signals based on real-time rehabilitation feedback signals and historical tuning feedback results for tuning the auditory prosthesis. The rehabilitation module 41 can generate a rehabilitation training plan that accurately matches the user's hearing ability for the next round based at least on rehabilitation feedback signals and new tuning signals. This breaks down the technical barriers between tuning and rehabilitation, enabling deep integration of remote tuning and auditory-verbal rehabilitation training, providing complete data support for tuning, and realizing the precision, personalization, and intelligence of post-cochlear implant treatment.

[0026] The auditory prosthesis includes an external processor 2 and an implant 1. The external processor 2 is connected to a wireless device 3, and the implant 1 is connected to the external processor 2. The external processor 2 receives and analyzes the tuning signal transmitted by the wireless device 3, and transmits the analyzed tuning signal to the implant 1. The implant 1 generates electrical stimulation based on the analyzed tuning signal and transmits the implant performance data and the telemetry data of the neural response generated by the electrical stimulation back to the external processor 2. The external processor 2 then sends the implant performance data and the neural response telemetry data to the wireless device 3. Specifically, the implant performance data includes hardware performance detection information such as implant electrode impedance and short-circuit / open-circuit status. The neural response telemetry data mainly includes core waveform parameters such as the amplitude, latency, and threshold of the electrically evoked compound action potential, as well as auxiliary quality control indicators such as stimulation current, artifact residuals, and specific recovery functions, used to objectively assess the excitability and conduction function of the auditory nerve.

[0027] Preferably, the wireless device 3 transmits neurological response telemetry data to the remote adjustment module 42 and the rehabilitation module 41. The remote adjustment module 42 receives the data and generates a new adjustment signal based on the rehabilitation feedback signal, historical adjustment feedback results, and neurological response telemetry data. The rehabilitation module 41 generates a new rehabilitation training plan for the next round based on the adjustment signal, rehabilitation feedback signal, and neurological response telemetry data. This allows for more comprehensive adjustment optimization, ensuring that adjustment parameters no longer solely rely on physician experience and basic test data, further improving the accuracy and targeting of remote adjustment. Furthermore, the wireless device 3 also transmits implant performance data along with neurological response telemetry data to the remote adjustment module 42 and the rehabilitation module 41, which, together with the rehabilitation feedback signal and historical adjustment feedback results, serve as the basis for generating a new adjustment signal; this is not limited in this regard.

[0028] Specifically, the system can perform multiple closed-loop iterative training sessions. Each closed-loop iterative training session includes multiple rounds of closed-loop iterative training links, with the interval between two adjacent closed-loop iterative training sessions ranging from one to six months. The final rehabilitation training plan formed in the previous closed-loop iterative training session serves as the preset rehabilitation training plan for the next closed-loop iterative training session. The selection of the interval length can be dynamically changed according to the user's recovery status, user time requirements, etc., and is not limited here. During the interval period, the user can conduct rehabilitation training at home using the preset rehabilitation training plan. For example, when the interval length is 3 months, in the first iteration, the rehabilitation feedback signal mainly consists of user rehabilitation training feedback information obtained based on 3 months of training using the preset rehabilitation training plan; in any subsequent iteration, the rehabilitation feedback signal mainly consists of user rehabilitation training feedback information obtained based on training using a new rehabilitation training plan.

[0029] See Figure 2 The remote platform 4 is the control terminal for doctors and audiologists, including a remote debugging module 42, a rehabilitation module 41, and a remote device communication unit 430.

[0030] The remote device communication unit 430 serves as the communication hub between the remote platform 4 and the user-end wireless device 3, establishing a stable bidirectional wireless network link to ensure real-time transmission of information such as device adjustment and rehabilitation. Specifically, the remote device communication unit 430 is connected to the remote debugging module 42, used to acquire and send rehabilitation feedback signals and historical device adjustment feedback results to the remote debugging module 42, and to send the device adjustment signals generated by the remote debugging module 42 to the wireless device 3; the remote device communication unit 430 is also connected to the rehabilitation module 41, used to acquire and send rehabilitation feedback signals to the rehabilitation module 41, and to send new rehabilitation training plans generated by the rehabilitation module 41 to the wireless device 3.

[0031] The remote debugging module 42 is connected to the rehabilitation module 41 and is used to send the generated debugging signal to the rehabilitation module 41. Preferably, the rehabilitation module 41 also sends the generated new rehabilitation training plan for the next round to the remote debugging module 42, which also provides a reference for the debugging signal of subsequent iterations.

[0032] The remote platform 4 also includes a remote device camera unit 440, a remote device display unit 450, and a remote device storage unit 460.

[0033] The remote device camera unit 440 is connected to the remote device communication unit 430, providing two-way video interaction support for remote device adjustment and rehabilitation guidance. Specifically, the remote device camera unit 440 is used to capture in real time the facial expressions, lip-reading demonstrations, gestures, and operational demonstrations of doctors or audiologists during remote device adjustment and rehabilitation guidance. After high-definition encoding and compression of the captured video data, it is transmitted to the remote device communication unit 430 and then sent in real time to the user's wireless device 3 for display to the user. The remote device camera unit 440 enables two-way visual interaction between doctors and patients, allowing users to intuitively understand the doctor's device adjustment guidance requirements, speech demonstrations, and key points of rehabilitation training movements. This effectively solves the problems of poor communication and inadequate guidance in remote scenarios, significantly improving the accuracy of remote device adjustment and the effectiveness of rehabilitation training.

[0034] The remote device display unit 450 is connected to the remote device communication unit 430, the remote debugging and processing unit 422, and the rehabilitation core processing unit 411 to visually display the remote device adjustment and rehabilitation testing interface. This includes, for example, T / C parameters for each electrode channel, electrode impedance status, neurological response test curves, real-time device adjustment progress, user subjective feedback information, rehabilitation training statistics and periodic assessment reports, and displays audio and video signals from the user end collected by the audio unit 370 and the wireless device camera unit 360, providing intuitive data support for doctors' device adjustment operations and rehabilitation assessments.

[0035] The remote device storage unit 460 is a cloud storage unit of the remote platform 4, used for long-term storage of users' historical device adjustment feedback results, rehabilitation feedback signals, implant performance data, and neurological response telemetry data, etc., without limitation. For example, it can store MAP parameters, parameter modification logs, electrode test history data, full-cycle rehabilitation training records, rehabilitation assessment reports, doctor / rehabilitation therapist operation logs, and electronic medical record information, supporting historical data review, parameter comparison analysis, and rehabilitation trend judgment.

[0036] See Figure 2 The remote debugging module 42 includes a remote debugging control unit 421, a remote debugging processing unit 422, and a remote debugging interaction unit 423.

[0037] The remote tuning processing unit 422 is the core computing and data processing unit of the remote tuning module 42, serving as the logical hub for remote tuning. The remote tuning processing unit 422 receives information from the user's rehabilitation feedback signals, historical tuning feedback results, implant performance data, neurological response telemetry data, and device operating status data transmitted by the user-end wireless device 3. It performs data verification, cleaning, statistical analysis, and anomaly identification, locating electrode fitting defects and areas of hearing abnormality. It also receives tuning operation instructions issued by the doctor through the remote tuning control unit 421. Combining the received data, and according to the cochlear implant electrode arrangement rules, frequency mapping relationships, and safety threshold standards, it intelligently calculates and proposes tuning recommendations for MAP parameters such as T-values, C-values, and channel gain for each electrode channel. This generates a legal, safe, and appropriate tuning signal for the user's hearing state, which is then transmitted to the wireless device 3 for cochlear implant tuning. In one specific embodiment, the tuning signal includes tuning instructions, standardized test instructions, and MAP tuning parameters, which are not limited here.

[0038] The remote adjustment control unit 421 is connected to the remote adjustment processing unit 422 and serves as the human-machine interface unit for the remote adjustment module 42. It primarily allows doctors / audiologists to perform adjustments, view status, and issue commands. Doctors / audiologists can edit, modify, and preview MAP parameters such as threshold values ​​(T-values) and comfort threshold values ​​(C-values) for each electrode channel based on intelligent adjustments recommendations from the remote adjustment processing unit 422 or their own experience. All adjustments commands input by the doctor through this unit are transmitted to the remote adjustment processing unit 422 for processing and execution.

[0039] The remote debugging interaction unit 423 serves as a cross-module information interaction window between the remote debugging module 42 and the rehabilitation module 41. It primarily establishes a bidirectional data channel with the rehabilitation module interaction unit 413 and connects to the remote debugging processing unit 422. Specifically, the remote debugging interaction unit 423 receives the tuning signals output by the remote debugging processing unit 422 and sends them to the rehabilitation module interaction unit 413, enabling the rehabilitation module 41 to synchronize tuning dynamics in a timely manner, update the rehabilitation training plan, and achieve real-time linkage and closed-loop between tuning and rehabilitation. Preferably, the remote debugging interaction unit 423 also receives new rehabilitation training plans generated by the rehabilitation module 41, which can also provide a reference for the generation of subsequent tuning signals. In a specific embodiment, the rehabilitation module 41 can also evaluate the received rehabilitation feedback signals to obtain rehabilitation evaluation information, such as phased rehabilitation evaluation reports, training statistics, and hearing weakness frequency band analysis results, and transmit them to the remote debugging processing unit 422, providing objective evidence for the optimization of subsequent tuning signals in terms of rehabilitation dimensions. In another specific embodiment, the rehabilitation feedback signal can also be evaluated and processed by the wireless device processing unit 340 and then sent to the remote debugging processing unit 422 to provide a reference for the generation of subsequent debugging signals.

[0040] See Figure 2 The rehabilitation module 41 includes a rehabilitation core processing unit 411, a rehabilitation control unit 412, a rehabilitation module interaction unit 413, and a rehabilitation training database 414.

[0041] The rehabilitation module interaction unit 413 is connected to both the remote debugging module 42 and the rehabilitation core processing unit 411. It acquires the tuning signals generated by the remote debugging module 42 and sends them to the rehabilitation core processing unit 411. The rehabilitation module interaction unit 413 serves as a dedicated information interaction window between the rehabilitation module 41 and the remote debugging module 42, primarily used to establish a data channel with the remote debugging interaction unit 423 and complete bidirectional information exchange. On one hand, the rehabilitation module interaction unit 413 forwards data such as rehabilitation assessment information obtained from the rehabilitation feedback signals received by the rehabilitation module 41 to the remote debugging interaction unit 423, providing a rehabilitation dimension reference for remote tuning. On the other hand, the rehabilitation module interaction unit 413 receives the tuning signals transmitted by the remote debugging interaction unit 423 and forwards them to the rehabilitation core processing unit 411, enabling the rehabilitation module 41 to synchronize tuning dynamics in a timely manner.

[0042] The rehabilitation core processing unit 411 is connected to the remote device communication unit 430 to acquire rehabilitation feedback signals and send rehabilitation training plans to the remote device communication unit 430. Furthermore, the rehabilitation core processing unit 411 also acquires implant performance data, neurological response telemetry data, and other information through the remote device communication unit 430, providing a reference for the generation of subsequent new rehabilitation training plans.

[0043] The rehabilitation training database 414 stores multiple rehabilitation training programs. The rehabilitation core processing unit 411 retrieves at least two rehabilitation training programs from the rehabilitation training database 414 based on the device adjustment signal and rehabilitation feedback signal. In a specific embodiment, the rehabilitation core processing unit 411 obtains information such as device adjustment signal, rehabilitation feedback signal, implant performance data, and neurological response telemetry data through the remote device communication unit 430, and retrieves at least two rehabilitation training programs from the rehabilitation training database 414 based on the above information. Specifically, the rehabilitation training programs include various standardized auditory and speech training materials, phased rehabilitation course templates, training question banks of different difficulty levels, standard speech materials, frequency band recognition materials, and pronunciation training materials, which are not limited here. Preferably, the multiple rehabilitation training programs stored in the rehabilitation training database 414 can be updated to adapt to different user needs, which is not limited here.

[0044] Preferably, the rehabilitation core processing unit 411 also evaluates the received rehabilitation feedback signal to obtain rehabilitation assessment information, and transmits it to the remote debugging processing unit 422 to provide an objective basis for the optimization of subsequent machine adjustment signals in terms of rehabilitation dimensions.

[0045] The rehabilitation control unit 412 serves as the human-computer interface for doctors or audiologists. Connected to the rehabilitation core processing unit 411, it sends rehabilitation control signals to the rehabilitation core processing unit 411. Based on these signals, the rehabilitation core processing unit 411 selects one rehabilitation training program from at least two available programs as the next round of rehabilitation training. In one specific embodiment, the doctor or audiologist can freely access the at least two rehabilitation training programs recommended by the rehabilitation core processing unit 411, choose a suitable one, and send the rehabilitation control signal from the rehabilitation control unit 412 to the rehabilitation core processing unit 411, ultimately transmitting it to the wireless device 3 as the current rehabilitation training program for the next round.

[0046] See Figure 2 The wireless device 3 is a portable terminal on the user side, including a wireless device Bluetooth unit 310, a wireless device storage unit 320, an interaction unit 330, a wireless device processing unit 340, a wireless device display unit 350, a wireless device camera unit 360, an audio unit 370, and a wireless device communication unit 380.

[0047] The wireless device communication unit 380 is connected to the remote device communication unit 430 and the wireless device processing unit 340, respectively. It is used to acquire the device adjustment signals and rehabilitation training plans sent by the remote device communication unit 430 and transmit them to the wireless device processing unit 340. It also sends the rehabilitation feedback signals and historical device adjustment feedback results transmitted by the wireless device processing unit 340 to the remote platform 4. In one specific embodiment, implant performance data and neurological response telemetry data are also transmitted to the remote platform 4, which is not limited here. In one specific embodiment, the wireless device communication unit 380 is a Wi-Fi or mobile network communication module, used to establish a network connection with the remote platform 4 to transmit device adjustment signals, rehabilitation training plans, historical device adjustment feedback results, rehabilitation feedback signals, video, and audio. The wireless device communication unit 380 supports reconnection after disconnection and data caching functions. When the network is interrupted, it can temporarily store data to be uploaded, and automatically synchronize it to the remote platform 4 after the network is restored.

[0048] The Bluetooth unit 310 of the wireless device is connected to both the external processor 2 and the wireless device processing unit 340. The connection between the Bluetooth unit 310 and the external processor Bluetooth unit 223 establishes a low-power Bluetooth communication link between the wireless device 3 and the external processor 2, enabling short-range data interaction. On one hand, the Bluetooth unit 310 receives implant performance data and neural response telemetry data transmitted back from the external processor 2 and transmits them to the wireless device processing unit 340; on the other hand, it transmits the tuning signals (including tuning parameter configuration instructions, control instructions, etc.) output by the wireless device processing unit 340 to the external processor 2, realizing parameter distribution and device control.

[0049] The interaction unit 330 is connected to the wireless device processing unit 340 and includes input components such as buttons and a touch screen. It receives user feedback during device setup and rehabilitation, such as loudness level selection, audio feedback, and answer / confirmation actions in the rehabilitation training plan. Other feedback actions are also included, but are not limited here. The interaction unit 330 converts these user operation signals into digital feedback data and transmits it to the wireless device processing unit 340 for device parameter adjustment and rehabilitation training evaluation.

[0050] The wireless device processing unit 340 is the control core of the wireless device 3. It is connected to the interaction unit 330 and interacts with the user based on the tuning signal to obtain tuning feedback results; it also interacts with the user based on the current rehabilitation training plan and obtains rehabilitation feedback signals. In a specific embodiment, the wireless device processing unit 340 is responsible for the system timing control, data processing, instruction scheduling, task allocation, and multi-module collaborative control of the wireless device 3, and at the same time monitors the working status of each unit of the wireless device 3 and handles anomalies.

[0051] Specifically, the tuning feedback results include at least one of user loudness feedback data and user comfort feedback data, without limitation; the rehabilitation feedback signals include at least one of speech recognition feedback data and pure tone recognition feedback data, without limitation.

[0052] The wireless device display unit 350 is connected to the wireless device processing unit 340 and is an LCD screen or a touch screen. It is used to display parameter information, test progress, prompt information, rehabilitation training interface, training progress, question content, accuracy feedback and rehabilitation feedback results during the device adjustment process, so as to realize the visualization of the device adjustment and rehabilitation process.

[0053] Furthermore, the wireless device camera unit 360 is connected to the wireless device processing unit 340 and is a built-in camera module used to capture the user's facial expressions, body movements, and environmental video images during the device adjustment and rehabilitation training process. The video data is transmitted to the wireless device processing unit 340, and after being encoded and compressed by the wireless device processing unit 340, it is uploaded to the remote platform 4 through the wireless device communication unit 380, so that doctors can remotely observe the user's reaction and judge the device adjustment effect and rehabilitation status.

[0054] The audio unit 370 is connected to the wireless device processing unit 340 and has both speaker or headphone output function and microphone sound pickup function. It can be used to play training audio, prompts, feedback sounds and guidance voices during rehabilitation training. At the same time, it can play standardized test sounds or voices in noisy environments during the device adjustment process to help users complete the subjective listening feedback test of the interaction unit 330. It can also communicate with the user or their family members through the microphone.

[0055] The wireless device storage unit 320 is bidirectionally connected to the wireless device processing unit 340 and is a non-volatile storage medium used to store multiple sets of tuning parameter configurations, rehabilitation feedback signals with user rehabilitation training data (including training records, accuracy, reaction time, etc.), device operation logs, system operating status information, and user personalized settings. In one specific embodiment, the wireless device processing unit 340 can read a specified version of the tuning parameters according to the tuning signal, and can also write the currently running tuning parameters and other data into the wireless device storage unit 320 for backup, supporting parameter rollback, historical data query, and offline use functions.

[0056] See Figure 2 The external processor 2 is worn outside the user's body and includes an external coil module 21 and a control processing module 22, which are connected together.

[0057] The control processing module 22 includes an external unit control unit 221, a signal processing unit 222, an external unit Bluetooth unit 223, a MAP data processing unit, and an external unit storage unit 225.

[0058] The external Bluetooth unit 223 is connected to the external control unit 221, the MAP data processing unit 224, and the wireless device Bluetooth unit 310 of the wireless device 3. The external Bluetooth unit 223 and the wireless device Bluetooth unit 310 are connected to realize bidirectional data interaction between the external processor 2 and the wireless device 3: on the one hand, it receives the debugging signals (including debugging MAP data, system control commands, etc.) sent from the wireless device 3 and forwards them to the MAP data processing unit 224 and the external control unit 221; on the other hand, it transmits the working status of the external processor 2, implant performance data, neural response telemetry results, and system operation log back to the wireless device 3 to provide data support for remote debugging and status monitoring.

[0059] The MAP data processing unit 224 is connected to the external storage unit 225 and the external Bluetooth unit 223. It is used to receive remote debugging MAP data forwarded by the external Bluetooth unit 223, and to perform format parsing, parameter verification and legality verification on it, including the validity judgment of key parameters such as T value, C value, frequency allocation table, channel gain, stimulation rate and pulse width of each electrode channel. After the parsing is successful, the currently effective MAP data is cached in the external storage unit 225 for the external control unit 221 to call at any time, and to realize local backup and fast recovery of parameters.

[0060] The external storage unit 225 is connected to the external control unit 221 and the MAP data processing unit 224 respectively. It is a non-volatile storage medium used to store multiple sets of MAP parameter configurations for the cochlear implant, system operation logs, implant electrode impedance data, neurological response telemetry results, user personalized settings, and device firmware version information. The external control unit 221 can read the specified version of MAP data and load it into the MAP data processing unit according to debugging instructions or system settings. It can also write the currently running MAP data into the storage unit for backup to support parameter rollback, version comparison, and fault recovery functions.

[0061] The external unit control unit 221 is the main controller of the control processing module 22, and is connected to the radio frequency modulation unit 211, the signal processing unit 222, the external unit Bluetooth unit 223, and the external unit storage unit 225, respectively. It is responsible for the system timing control, task scheduling, status management, and exception handling of the entire external processor 2. Specifically, the external unit control unit 221 receives corresponding control commands and session control signaling (such as start / stop and mode switching) from the tuning signals of the external unit Bluetooth unit 223, and is used to manage the device's working status and communication link.

[0062] Furthermore, the external unit control unit 221 receives implant performance data transmitted from the signal processing unit 222, monitors the status of implant 1, and feeds back information such as device operating status, data reception confirmation, implant performance data, and nerve response telemetry results to the wireless device 3 through the external unit Bluetooth unit 223; it is also responsible for managing the read and write operations of the external unit storage unit 225, realizing the storage and retrieval of MAP parameters, system configuration and log data, and transmitting MAP parameters to the radio frequency modulation unit 211.

[0063] The signal processing unit 222 is connected to the external machine control unit 221 and the radio frequency demodulation unit 214. The radio frequency demodulation unit 214 receives performance data from the implant, telemetry data of nerve response, etc., processes them, and transmits them to the signal processing unit 222.

[0064] The external coil module 21 includes an RF modulation unit 211, a power amplification unit 212, an external coil unit 213, and an RF demodulation unit 214.

[0065] The radio frequency modulation unit 211 is connected to the external machine control unit 221 and the power amplifier unit 212 respectively. It is used to receive the artificial cochlear stimulation parameter adjustment information and control processing instructions (i.e. the parsed adjustment signal) transmitted by the external machine control unit 221, encode them into digital baseband signals, and modulate the carrier signal according to the preset radio frequency communication protocol to generate a radio frequency signal carrying data and transmit it to the power amplifier unit 212.

[0066] The power amplification unit 212 is connected to the output terminal of the radio frequency modulation unit 211 and the external coil unit 213 respectively. It is used to amplify the modulated radio frequency signal to make it reach the transmission power level required by the external coil unit 213, so as to ensure that the radio frequency signal can penetrate the skin tissue and be stably transmitted to the implant coil unit 110 of the implant 1, while controlling the output power to meet the electromagnetic safety specifications. The external coil unit 213 is connected to the power amplification unit 212, the implant coil unit 110, and the radio frequency demodulation unit 214, respectively. It serves as a radio frequency coupling antenna between the external body and the implant 1. The amplified radio frequency signal is transmitted to the implant 1 through the implant coil unit 110 via electromagnetic induction. At the same time, the implant coil unit 110 receives radio frequency signals such as neural response telemetry data and implant performance data transmitted back from the implant 1 and transmits them to the radio frequency demodulation unit 214.

[0067] The radio frequency demodulation unit 214 is connected to the external coil unit 213 and the signal processing unit 222. It is used to filter, amplify and demodulate the radio frequency signal received by the external coil unit 213 to restore the digital baseband signal and transmit it to the signal processing unit 222 of the control processing module 22 for subsequent data analysis, status monitoring and feedback control of the system.

[0068] The implant 1 is the core device of the cochlear implant that is implanted into the user's body, including the implant coil unit 110, the implant processing unit 120, the performance testing unit 130, the electrical stimulation unit 140, and the neural response telemetry unit 150.

[0069] The implant coil unit 110 is connected to the external coil unit 213 and the implant processing unit 120 respectively. It is used to receive the energy and the analyzed tuning signal transmitted by the external processor 2 and transmit them to the implant processing unit 120, and to send back the implant performance data and nerve response telemetry data processed by the implant processing unit 120 to the external processor 2.

[0070] The implant processing unit 120 is the control core of the implant 1. It is connected to the implant coil unit 110, the performance testing unit 130, the electrical stimulation unit 140, and the neural response telemetry unit 150. It is responsible for receiving the MAP parameter information transmitted through the implant coil unit 110, parsing it, and controlling the electrical stimulation unit 140 to discharge. The implant processing unit 120 also receives the implant performance data and neural response telemetry data transmitted from the performance testing unit 130 and the neural response telemetry unit 150, modulates them, and then transmits them to the external processor 2 through the implant coil unit 110.

[0071] The performance testing unit 130 is connected to the implant processing unit 120 and is used to complete electrode impedance, short circuit / open circuit status, etc. under the control of the implant processing unit 120 to obtain implant performance data. The electrical stimulation unit 140 is connected to the implant processing unit 120, and outputs electrical stimulation pulse signals to the cochlear electrode array according to the adjusted MAP parameters received by the implant processing unit 120. The neural response telemetry unit 150 is connected to the implant processing unit 120 and is used to collect neural response telemetry data such as electrically evoked compound action potentials, providing objective basis for remote debugging.

[0072] As can be seen from the above, in a specific embodiment of the auditory prosthesis remote system integrating device adjustment and rehabilitation training of the present invention, the device adjustment process is as follows: In the previous cycle of device adjustment, the user conducted rehabilitation training based on the preset training plan stored in the wireless device 3.

[0073] When adjustments are needed, doctors and users establish a connection through remote platform 4, the auditory prosthesis, and wireless device 3.

[0074] In the first iteration, wireless device 3 acquires rehabilitation feedback signals generated by the user's training based on a preset rehabilitation training plan through interaction unit 330 and wireless device processing unit 340. These rehabilitation feedback signals include speech recognition feedback data and pure tone recognition feedback data, primarily obtained through user responses and other rehabilitation feedback. Remote adjustment module 42 receives the rehabilitation feedback signals and generates adjustment signals based on these signals, historical adjustment feedback results, and adjustments made by the doctor / audiologist. Since there are no adjustment signals or corresponding feedback results in the first iteration, and historical adjustment feedback results are empty, remote adjustment module 42 primarily generates adjustment signals based on the rehabilitation feedback signals. Additionally, remote adjustment module 42 can also receive implant performance data from the cochlear implant as a basis for generating adjustment signals. Remote adjustment module 42 then sends the adjustment signals to wireless device 3 and rehabilitation module 41. The rehabilitation module 41 generates a new rehabilitation training plan for the next round based on the tuning signal and rehabilitation feedback signal; the wireless device 3 tunes the auditory prosthesis based on the tuning signal; the user performs interface operations such as answering questions and selecting questions through the interaction unit 330 to provide user tuning feedback; the wireless device processing unit 340 obtains the user tuning feedback and generates tuning feedback results.

[0075] In the second iteration, wireless device 3 obtains the user's training based on the new rehabilitation training plan generated in the previous round and obtains the corresponding rehabilitation feedback signal; remote debugging module 42 receives the rehabilitation feedback signal and generates a debugging signal based on the rehabilitation feedback signal and the historical debugging feedback result. At this time, the historical debugging feedback result is the debugging feedback result generated in the previous round.

[0076] The remote adjustment module 42 sends the adjustment signal to the wireless device 3 and the rehabilitation module 41; the wireless device 3 adjusts the auditory prosthesis based on the adjustment signal and generates adjustment feedback results based on the user's adjustment feedback; the rehabilitation module 41 generates a new rehabilitation training plan for the next round based at least on the adjustment signal and the rehabilitation feedback signal. In subsequent iterations, the update process is repeated cyclically according to the second round of iterations to obtain the final adjustment signal and the final rehabilitation training plan. During the interval between two adjacent closed-loop iteration training sessions (generally 1-6 months), the user repeatedly trains according to the final rehabilitation training plan until the next adjustment is performed and updated.

[0077] This invention forms a closed-loop iterative training link through a remote tuning module 42, a rehabilitation module 41, an auditory prosthesis, and a wireless device 3. The remote tuning module 42 can generate new tuning signals based on real-time rehabilitation feedback signals and historical tuning feedback results for tuning the auditory prosthesis. The rehabilitation module 41 can generate a rehabilitation training plan that accurately matches the user's hearing ability for the next round based at least on the rehabilitation feedback signals and the new tuning signals. This breaks down the technical barriers between tuning and rehabilitation, enabling deep integration of remote tuning and auditory-verbal rehabilitation training, providing complete data support for tuning, and realizing the precision, personalization, and intelligence of post-cochlear implant treatment.

[0078] Finally, it should be noted that the above preferred embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail through the above preferred embodiments, those skilled in the art should understand that various changes can be made to it in form and detail without departing from the scope defined by the claims of the present invention.

Claims

1. A remote auditory prosthesis system integrating machine adjustment and rehabilitation training, characterized in that, The system includes a remote platform, an auditory prosthesis, and a wireless device. The wireless device is connected to the auditory prosthesis. The remote platform includes a remote adjustment module and a rehabilitation module. The auditory prosthesis, the wireless device, the remote adjustment module, and the rehabilitation module can form a multi-round closed-loop iterative training chain. In each round of the closed-loop iterative training chain: The wireless device collects rehabilitation feedback signals generated by the user based on the current rehabilitation training program; the remote adjustment module receives the rehabilitation feedback signals, generates an adjustment signal based at least on the rehabilitation feedback signals and historical adjustment feedback results, and sends the adjustment signal to the wireless device and the rehabilitation module; the wireless device adjusts the hearing prosthesis based on the adjustment signal, and obtains adjustment feedback results based on the user's adjustment feedback; the rehabilitation module generates a new rehabilitation training program for the next round based at least on the adjustment signal and the rehabilitation feedback signals. In the first iteration, the current rehabilitation training plan is a preset rehabilitation training plan, and the historical adjustment feedback result is empty; in any subsequent iteration, the current rehabilitation training plan is a new rehabilitation training plan generated by the rehabilitation module in the previous round, and the historical adjustment feedback result is the adjustment feedback result generated in the previous round.

2. The remote auditory prosthesis system integrating machine adjustment and rehabilitation training according to claim 1, characterized in that, The remote platform includes a remote device communication unit connected to the wireless device. The remote device communication unit is connected to the remote debugging module and is used to at least acquire and send the rehabilitation feedback signal and historical debugging feedback results to the remote debugging module, and to send the debugging signal generated by the remote debugging module to the wireless device; The remote device communication unit is also connected to the rehabilitation module, and is used to at least acquire and send the rehabilitation feedback signal to the rehabilitation module, and send the new rehabilitation training plan generated by the rehabilitation module to the wireless device; The remote debugging module is connected to the rehabilitation module and is used to send the generated debugging signal to the rehabilitation module.

3. The remote auditory prosthesis system integrating machine adjustment and rehabilitation training according to claim 2, characterized in that, The rehabilitation module includes a core rehabilitation processing unit, a rehabilitation module interaction unit, and a rehabilitation training database. The rehabilitation module interaction unit is connected to the remote debugging module and the rehabilitation core processing unit respectively, and is used to obtain the debugging signal generated by the remote debugging module and send it to the rehabilitation core processing unit. The rehabilitation core processing unit is connected to the remote device communication unit and is used to acquire the rehabilitation feedback signal. The rehabilitation training database stores multiple rehabilitation training programs. The rehabilitation core processing unit retrieves the rehabilitation training program in the rehabilitation training database based at least on the adjustment signal and the rehabilitation feedback signal, and sends it to the remote device communication unit.

4. The remote auditory prosthesis system integrating machine adjustment and rehabilitation training according to claim 3, characterized in that, The rehabilitation core processing unit retrieves at least two rehabilitation training programs from the rehabilitation training database based on the adjustment signal and the rehabilitation feedback signal. The rehabilitation module also includes a rehabilitation control unit connected to the rehabilitation core processing unit, which sends a rehabilitation control signal to the rehabilitation core processing unit. The rehabilitation core processing unit selects one of the retrieved rehabilitation training programs as the new rehabilitation training program for the next round based on the rehabilitation control signal.

5. The remote auditory prosthesis system integrating machine adjustment and rehabilitation training according to claim 1, characterized in that, The system can perform multiple closed-loop iterative training operations. Each closed-loop iterative training operation includes multiple rounds of the closed-loop iterative training chain. The interval between two adjacent closed-loop iterative training operations ranges from one month to six months. The final rehabilitation training plan formed in the previous closed-loop iterative training operation serves as the preset rehabilitation training plan for the next closed-loop iterative training operation.

6. The remote auditory prosthesis system integrating machine adjustment and rehabilitation training according to claim 1, characterized in that, The wireless device includes a wireless device communication unit, a wireless device processing unit, and an interaction unit. The wireless device communication unit is connected to the wireless device processing unit and is used to acquire the machine adjustment signal and the rehabilitation training plan sent by the remote platform and transmit them to the wireless device processing unit. And send the rehabilitation feedback signal and the historical tuning feedback results transmitted by the wireless device processing unit to the remote platform; The wireless device processing unit is connected to the interaction unit, interacts with the user based on the tuning signal, and generates the tuning feedback result; and interacts with the user based on the current rehabilitation training plan, and generates the rehabilitation feedback signal.

7. The remote auditory prosthesis system integrating machine adjustment and rehabilitation training according to claim 1, characterized in that, The tuning feedback results include at least one of user loudness feedback data and user comfort feedback data.

8. The remote auditory prosthesis system integrating machine adjustment and rehabilitation training according to claim 1, characterized in that, The rehabilitation feedback signal includes at least one of speech recognition feedback data and pure tone recognition feedback data.

9. The remote auditory prosthesis system integrating machine adjustment and rehabilitation training according to claim 1, characterized in that, The hearing prosthesis includes an external processor and an implant, wherein the external processor is connected to the wireless device and the implant is connected to the external processor; The external processor receives and parses the tuning signal transmitted by the wireless device, and transmits the parsed tuning signal to the implant. The implant generates electrical stimulation based on the parsed tuning signal, and collects telemetry data of the neural response generated by the electrical stimulation and transmits it back to the external processor.

10. The remote auditory prosthesis system integrating machine adjustment and rehabilitation training according to claim 9, characterized in that, The external processor sends the neural response telemetry data to the wireless device, and the remote debugging module receives and generates a new debugging signal based on the rehabilitation feedback signal, the historical debugging feedback results, and the neural response telemetry data.

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