WO2024050650A1 - System for diagnosing and managing anxiety or pain - Google Patents

System for diagnosing and managing anxiety or pain Download PDF

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Publication number
WO2024050650A1
WO2024050650A1 PCT/CL2022/050089 CL2022050089W WO2024050650A1 WO 2024050650 A1 WO2024050650 A1 WO 2024050650A1 CL 2022050089 W CL2022050089 W CL 2022050089W WO 2024050650 A1 WO2024050650 A1 WO 2024050650A1
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Prior art keywords
pain
anxiety
intervention
management
artificial intelligence
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PCT/CL2022/050089
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Spanish (es)
French (fr)
Inventor
Eduardo Alejandro CORNEJO ACUÑA
Original Assignee
Cornejo Acuna Eduardo Alejandro
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Priority to PCT/CL2022/050089 priority Critical patent/WO2024050650A1/en
Publication of WO2024050650A1 publication Critical patent/WO2024050650A1/en

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Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/369Electroencephalography [EEG]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/369Electroencephalography [EEG]
    • A61B5/372Analysis of electroencephalograms
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/369Electroencephalography [EEG]
    • A61B5/372Analysis of electroencephalograms
    • A61B5/374Detecting the frequency distribution of signals, e.g. detecting delta, theta, alpha, beta or gamma waves

Definitions

  • the present patent application for invention is directed to a system and method for the diagnosis and management of anxiety and/or pain without medications, which through a portable electroencephalogram (EEG) sensor connected to a processing device, smartphone/TV Stick o Extended Reality Lens and an Artificial Intelligence Platform in the cloud (Cloud), allows the diagnosis and monitoring of a person's anxiety and pain and additionally develops an intervention for the management of these levels, by introducing the person to a 2D digital stimulation environment in the case of Smartphone/TV or 3D (Virtual or Extended Reality), which provides tools for anxiety reduction and pain management.
  • EEG portable electroencephalogram
  • Cloud Artificial Intelligence Platform in the cloud
  • Experiencing anxiety is a normal component of human existence. People with anxiety disorders often experience intense and persistent worry and fear about everyday situations. Anxiety disorders often involve sudden, repetitive episodes of intense anxiety and fear that peak within minutes (panic attacks).
  • anxiety disorders include generalized anxiety disorder, social anxiety disorder, specific phobias, among others. It is possible to have more than one anxiety disorder, and sometimes anxiety is the result of a medical condition that needs treatment.
  • pain is an uncomfortable sensation that indicates that something may be wrong. It may be constant, stabbing, electric, painful, pinching, or described in other ways. Sometimes it is just an annoyance, like a mild headache, other times it can be debilitating and even disabling.
  • the quantification of pain intensity is essential, not forgetting that pain is by definition an emotional and sensory experience.
  • Patent publication WO2018059645 describes a neurofeedback system for training to reduce skeletal muscle pain.
  • the system comprises a non-invasive EEG sensor for detecting the EEG signal of the person as well as a processor system, e.g. a tablet or the like, receives data values from the EEG sensor and calculates an EEG power magnitude within the EEG alpha band accordingly.
  • the processor system is programmed to determine a reference value indicative of the EEG alpha band power and determine, in real time, the EEG alpha band power in response to the EEG sensor data.
  • Patent publication US20200233485 describes a virtual reality (VR) device, system and lens for generating a continuous choreographed VR experience for a physical procedure that incorporates at least one procedural action associated with a physical sensation and potentially inducing a anxiety or pain response. Continued VR experience may modify perceptions of pain and anxiety associated with the procedure. While the device is in operation and used by the user, one or more virtual reality experiences are provided, each associated with a physical procedure.
  • VR virtual reality
  • Patent publication CN108324272 describes a device composed of electroencephalography signal acquisition equipment, a preprocessing module, an analysis and computing module, and a classification module.
  • Electroencephalography signal acquisition equipment is used to acquire EEG (electroencephalography) signals in resting states with eyes open and closed for 8 minutes;
  • the pre-processing module is used to extract four frequency bands delta, theta, alpha and beta from the EEG signals after processing such as downsampling, filtering and removing artifacts is carried out on the EEG signals;
  • the analysis and calculation module allows the anxiety coefficients to be calculated according to the LZC obtained, the values of the four frequency bands, and the coefficients of free anxiety, mild anxiety, and moderate and severe anxiety obtained can be used as judgment indices to examine the degrees of anxiety;
  • the classification module is used to apply support vector machines to build classification models of anxiety degrees with the help of input data that are anxiety coefficient characteristic matrices of crowds without anxiety, mild anxiety, and moderate and severe anxiety, and the anxiety coefficient characteristic
  • the patent publication WO2019172563 describes a system for providing a treatment experience in a hospital according to the present invention comprising: a head-mounted display (HMD) that is worn on a patient's head to display a virtual reality screen ( VR) or augmented reality (AR); an integrated device to which a hand gesture recognition sensor is attached to recognize the patient's hand gesture; a guardian display monitor for viewing by the guardian and the patient's medical team; and a computer for communicating with the integrated device, providing the integrated device with treatment experience content that allows a virtual experience of a treatment process in a hospital, by receiving the patient's voice signal or a hand gesture signal detected by the device integrated, providing the integrated device with interactive treatment experience content corresponding to the received signal, mirroring a screen identical to a content screen provided to the integrated device, and displaying the mirrored screen on the watchdog display monitor.
  • the present invention can reduce a patient's anxiety and stress by providing a VR or AR based treatment experience service.
  • Patent publication W02020204810 discloses a process for identifying and extracting electroencephalogram (EEG) signals related to pain.
  • the process comprises receiving, from one or more trials, EEG data for each trial; determine a current density for each signal; estimating the current density for a set of regions of neural activity of interest, based on the calculated current density; and calculating at least one spectrum characteristic for each test based on the estimated current density. Therefore, the mean and variance of the changes in the EEG data between the EEG data labeled as indicative of a pain state and the EEG data labeled as indicative of a pain-free state can be calculated for each region. of interest from neural activity, and pain-related information can be calculated.
  • the EEG signals are They can identify based on at least one region of interest in which the variance is below a predetermined threshold.
  • the system is responsible for the interpretation of brain information, classification and delivery of results. Likewise, a mechanism identifies patterns, underlying structure or distribution in the data obtained, to learn and infer patterns in the brain data set.
  • the prediction of anxiety and pain is carried out through Supervised Learning, where a trained brain data set allows determining the appropriate algorithm for the predictive model, this allows determining the input characteristics of the training data set, which You will need to have sufficient knowledge to accurately predict your anxiety and/or pain level output.
  • the system is monitored to evaluate the accuracy of the model and whether it predicts the correct outcome.
  • the system of the invention incorporates a neural feedback mechanism or Neurofeedback incorporated into the Intervention (I) that allows real-time adaptation of the visual and auditory relaxation experience from the reading of brain waves. and in this way deliver real-time feedback to the user and/or patient during the exercise.
  • Intervention incorporated into the Intervention (I) that allows real-time adaptation of the visual and auditory relaxation experience from the reading of brain waves. and in this way deliver real-time feedback to the user and/or patient during the exercise.
  • the data collected by the Cloud platform has the objective of being analyzed and processed to deliver results to the person in graphic form, about their main metrics that intervene in the manifestation of anxiety and pain, where the user and/or patient can visualize the level of anxiety and level of pain resulting in a user panel (dashboard) which can be consulted individually on a computer device or smartphone, to track their progress and even receive alerts that allow you to take action to avoid acute symptoms of anxiety or pain (predictive characteristic).
  • system of the invention incorporates a calculation and learning engine based on artificial intelligence (machine learning), which provides a method for the prediction and prevention of the exacerbated chronic pain event according to the information and monitoring of the brain waves associated with anxiety and stress.
  • machine learning artificial intelligence
  • system of the invention incorporates a feature for the online measurement and recording of the levels of attention and relaxation using the brain sensor, which provides a mechanism for real-time monitoring of these levels, which can affect anxiety and pain crises, facilitating detection prior to the triggers to manage them early.
  • the object of the present invention is to provide a system and method for the diagnosis and management of anxiety and pain in people, using portable electroencephalogram (EEG), Extended Reality, and Artificial Intelligence tools, which can be developed by people in their home. , work, health center, during hospitalization or from anywhere.
  • EEG portable electroencephalogram
  • Extended Reality Extended Reality
  • Artificial Intelligence tools which can be developed by people in their home. , work, health center, during hospitalization or from anywhere.
  • Another object of the present invention is to incorporate the intervention (Block I) into the multimodal therapy used for the management of acute pain, facilitating the reduction of drugs and analgesia while maintaining effectiveness, reducing doses, side effects and potential adverse reactions. of drugs and analgesia.
  • Another object of the present invention is to provide a system and method for the predictive diagnosis of exacerbated pain, based on brain wave information, analog pain and anxiety rating scales and artificial intelligence (machine learning), which allow the prediction of the pain event. Chronic pain exacerbated days before its appearance.
  • Another object of the present invention is to provide a system and method to adjust drug doses and analgesia (reduce doses), in patients with risk of hemorrhage, alteration of kidney function, with alteration of liver function, alcoholics, with a history of accident. cerebral vascular disease, coronary heart disease, the elderly or with patients with risk factors for agranulocytosis (e.g. chemotherapy).
  • Another object of the present invention is to provide a Neural Feedback method available in Block I, which allows visual elements and/or objects in the 2D or 3D exercise environment to be synchronized with the brain waves of the user and/or patient in real time, to inform the user and/or patient of their progress in the development of their exercise.
  • Another object of the present invention is to provide a system and method for the diagnosis of anxiety, based on brain wave information, and processing based on artificial intelligence (machine learning), which as a result provides a diagnosis of anxiety through different levels of intensity.
  • Another object of the present invention is to provide a system for the implementation of an intervention for collaborative anxiety and pain management, which can be carried out in a group with other patients (VR modality), with the aim of humanizing the anxiety experience. and pain in the framework of a hospitalization, which suggests an increase in the improvement of the user and/or patient.
  • Another object of the present invention is to provide a system for the exchange of brain waves between two or more people or patients, with the purpose of feeding brain information into a shared recovery process, facilitating the transfer of emotionality when the process is carried out. cape.
  • the system includes a portable electroencephalogram sensor device for capturing the person's brain waves, a Smartphone device, TV Stick or extended reality device as a processing unit and gateway between the EEG device and the Internet, and an Artificial Intelligence platform in the cloud, for the management of patient information, brain wave data, Machine Learning (ML) algorithms and presentation of diagnosis and results.
  • a portable electroencephalogram sensor device for capturing the person's brain waves
  • a Smartphone device for capturing the person's brain waves
  • TV Stick or extended reality device as a processing unit and gateway between the EEG device and the Internet
  • an Artificial Intelligence platform in the cloud for the management of patient information, brain wave data, Machine Learning (ML) algorithms and presentation of diagnosis and results.
  • ML Machine Learning
  • the system can alternatively operate from a Smartphone device, TV Stick or Extended Reality Device, in this way the user and/or patient can follow the instructions during the brain measurement and exercises for the management of anxiety and pain.
  • the method of the invention considers the interaction of the user and/or patient in a processing and visualization platform consisting of a 2D, 3D or Extended Reality screen depending on the modality of use and a potable electroencephalogram device, which together provide a method for the diagnosis and/or prognosis of a person's level of anxiety and/or pain based on the non-invasive recording of the power of the EEG bands of the user and/or patient and facilitates a guided relaxation experience.
  • a method and system is provided that, using a portable EEG, facilitates the diagnosis and/or treatment of pain and/or anxiety, through the implementation of one or more Machine Learning (ML) mechanisms, which operate by developing a correlation between the Patient's self-assessed pain and/or anxiety level using a visual (analogue) scale and the power of the measured EEG bands (portable EEG).
  • ML Machine Learning
  • the pain and/or anxiety detection system is fed by the EEG signals obtained (power of the EEG bands) and the self-assessed levels of pain and/or anxiety and implements a classification or detection of patterns for the diagnosis of pain and/or anxiety. or anxiety without requiring additional information from the user or patient. It is possible to implement the EEG method, system and device to obtain a pain level based on an online measurement, a result that can be provided to the user and/or patient, specialist, treater, or health service provider.
  • the online pain and/or anxiety assessment can be used for continuous pain monitoring of a user and/or patient and suggest one or more relaxation exercises using the user interface available whether Smartphone, TV Stick or Reality Device. Extended, to reduce the perception of pain and avoid unnecessary medications.
  • the information on brain waves, level of attention and level of relaxation of the individual during their relaxation exercise is processed online by the cloud platform, and simultaneously depending on the levels that are recorded, changes are developed over time. real in the content viewed by the user, with the aim of producing a deeper state of relaxation.
  • the data collected is intended to be stored, analyzed, processed and presented to the specialist or treater in metric graphic form on a clinical cloud platform (Cloud), where the health service provider can visualize the patient's individual indicators by area, and gives the patient cloud access where they can confidentially and securely consult their anxiety and/or pain levels, track their progress in the intervention program for the management of the anxiety and/or pain and receive feedback from specialists.
  • Cloud clinical cloud platform
  • Access to the cloud platform is provided to the treatment or therapist so that they can track the anxiety and/or pain levels of the user or patient, develop monitoring of an area or, if necessary, carry out a detailed review of the brain data of a patient from the patient record provided by the system.
  • each session is composed of baseline measures of brain activity (Block M), and intervention with relationship exercises and breathing techniques ( Block I) .
  • Block M baseline measures of brain activity
  • Block I intervention with relationship exercises and breathing techniques
  • a session on the platform is made up of a first M Block, I Blocks in an amount suggested by the platform and a final M block.
  • the session begins with the user and/or patient answering a pain and/or anxiety scale (visual analogue), and then the system acquires a first basal measurement of brain activity (using EEG) this is called in the system as a Block. M.
  • a pain and/or anxiety scale visual analogue
  • Block M the user and/or patient will receive a list of relaxation exercises recommended by the Artificial Intelligence system, based on the level obtained on the scales and the result of the basal measurement with EEG. Likewise, the system also considers information from past measurements and results.
  • the Relaxation Block or Block I provides techniques for the management and prevention of anxiety and pain.
  • a session in the system must incorporate at least one initial M Block, followed by a number of I Blocks suggested by the platform and a final M Block.
  • a list of available exercises will be specified, each one representing a challenge for the user and/or patient, which must be completed during their intervention (Block I).
  • a real-time relaxation and attention indicator quantifies the ability to find an internal state of full attention, which allows users to learn to self-manage their anxiety and/or pain, facilitating internal balance.
  • this indicator is used to create audible signals and control movement over objects or animals that influence reflection.
  • Block I incorporates breathing practices and guided meditation; where the user and/or patient will view from the selected 2D or 3D device, a relaxation and/or learning experience with a guide in its digital format (Avatar), in a relaxing environment.
  • the relaxation experience operates by promoting changes in the measured EEG power levels of the different brain waves and specifically those related to anxiety and pain (Alpha, Beta and Theta). It is possible to visualize the magnitude of the changes in the Cloud Platform, which provides graphs that represent the different levels of EEG power of the user and/or patient for the different intervention blocks, as described in Figures 3 and 4 for two respective I blocks (before and after relaxation).
  • the exercise environment is presented to the user through the available display alternatives.
  • the environment may include 3D simulations, audio, objects, 360-degree images/video, and 2D landscapes corresponding to the current environment.
  • the Block I exercise incorporates the facility for the user and/or patient to receive rewards for achieving objectives during their exercises; given the increase in power of the Theta and Alpha bands and the reduction in Beta power, for example.
  • Visual or auditory rewards related to real-time changes in brain waves are alerted to the user in real time for their gratification and take the form of scores and medals in their user profile in the cloud.
  • the invention comprises a system composed of a portable electroencephalogram (EEG) device for measuring brain waves and neural feedback (Neurofeedback) (400), a processing and display device Smartphone or Tablet PC (430) and/or TV Stick (420) and/or Extended Reality Device (410), and a cloud-based diagnostic and monitoring platform based on artificial intelligence (300), which correlates with; a measurement method for quantifying the level of anxiety and pain in users and/or patients, with an intervention, for the management of anxiety and pain, and limited to a non-finite number of sessions, allows optimizing the effectiveness of the treatment, reducing drug doses and analgesia reduce side effects and potential adverse reactions.
  • EEG portable electroencephalogram
  • the system comprises a 2D or 3D user interface, with which the user and/or patient interacts, a diagnostic mechanism using electroencephalogram, and an intervention that provides a guided relaxation experience and that allows the user and/or The patient develops the skills to confront anxiety and pain symptoms based on recommendations derived from an artificial intelligence system supervised by a specialist.
  • An EEG sensor (400) is fixed on the forehead of the user and/or patient (dry electrode), allows the recording of brain waves in Block M, and also allows neural feedback (Neurofeedback) within the relaxation and management experience. anxiety and pain Block I.
  • the M Block brain wave capture allows the recording, storage and processing of Delta, Theta, LowAlpha, HighAlpha, LowBeta, HighBeta, LowGama, HighGama brainwave data on the cloud platform (300).
  • the end user device is responsible for integrating with the EEG via Bluetooth and writing the brain data to the cloud.
  • Content with cognitive restructuring components (350) is provided to the user and/or patient through of the visualization media available, for the learning and development of relaxation and breathing techniques leading to the adoption of new tools for the management of anxiety and/or pain.
  • the system also comprises a cloud platform that centrally controls the user and/or patient devices (300), their content, manages the licenses for use of the system and method of the invention, records user and/or patient information, stores and processes the information of the user's physiological variables (EEG, or others), facilitating the improvement of the content and its real-time adjustment as the user views it.
  • the platform or software in the cloud manages the visual content that is presented graphically on the display devices, sounds (music or voice user guidance) and, on the other hand, concentrates the neural feedback data (Neurofeedback) generated. by the EEG sensor that is available to the user, making it easier for Artificial Intelligence algorithms to develop recommendations that facilitate an improvement in the diagnosis and experience.
  • high-speed data ingestion is generated for the aggregation and storage of data (340) in real time, application of intelligence algorithms artificial (310), supervised training and learning (320), predictive module (330), therapeutic content management (350), presentation and integrations (360) and supervision by specialists (380).
  • the system comprises a calculation and learning engine based on artificial intelligence (310), which, based on brain wave information, analog pain and anxiety rating scales and artificial intelligence (machine learning), allows the prediction of the chronic pain event. exacerbated prior to its manifestation.
  • artificial intelligence 310
  • machine learning artificial intelligence
  • the system of the invention integrates analog and digital means to measure and detect the anxiety and pain levels of the user and/or patient before, during and after the session.
  • the analog characteristic of the measurement will be provided through visual scales or inventories, which the user and/or patient completes when accessing the cloud platform or at the beginning of a measurement (Block M alone) or session.
  • the digital characteristic of the measurement is provided by the EEG device that reads and records the user's brain waves, with which it is possible to make an initial estimate, during the exercise and at the end of it or in isolation to only establish the baseline of anxiety and pain.
  • the immersion will incorporate related feedback, such as smells and other inputs such as, for example, wind generated by a fan to increase the user's immersion in the simulation, while the optional interaction with The facilitator will be provided to assist the user with any concerns related to the use of the system.
  • the sound, background video and generated voice guidance are centrally controlled through the cloud platform (PC).
  • PC cloud platform
  • the user at any time during the journey may have access to a help or assistance button to obtain immediate feedback from the facilitator or stop the simulation.

Abstract

The present invention patent application relates to a system and method for diagnosing and managing anxiety and/or pain without medication, which diagnoses and monitors the anxiety or pain felt by a person through a portable electroencephalogram (EEG) sensor connected to a processing device, smartphone, TV stick or extended reality lens and an artificial intelligence platform on the cloud. The invention also develops an intervention to manage these levels by introducing the person to a 2D digital stimulation environment if using a smartphone or TV or to a 3D digital simulation environment (virtual or extended reality), which provides tools to reduce anxiety and manage pain.

Description

SISTEMA PARA DIAGNÓSTICO Y GESTIÓN DE ANSIEDAD O DOLOR SYSTEM FOR DIAGNOSIS AND MANAGEMENT OF ANXIETY OR PAIN
MEMORIA DESCRIPTIVA DESCRIPTIVE MEMORY
La presente solicitud de patente de invención se dirige a un sistema y método para el diagnóstico y gestión de la ansiedad y / o dolor sin medicamentos, que mediante un sensor de electroencefalograma portable (EEG) conectado a un dispositivo de procesamiento, smartphone/ TV Stick o Lente de Realidad Extendida y una Plataforma de Inteligencia Artificial en la nube (Cloud) , permite el diagnóstico y seguimiento de ansiedad y dolor de una persona y adicionalmente desarrolla una intervención para la gestión de estos niveles, mediante la introducción de la persona a un entorno de estimulación digital 2D en el caso de Smartphone/ TV o 3D (Realidad Virtual o Extendida) , el que entrega herramientas para la reducción de la ansiedad y la gestión de dolor. The present patent application for invention is directed to a system and method for the diagnosis and management of anxiety and/or pain without medications, which through a portable electroencephalogram (EEG) sensor connected to a processing device, smartphone/TV Stick o Extended Reality Lens and an Artificial Intelligence Platform in the cloud (Cloud), allows the diagnosis and monitoring of a person's anxiety and pain and additionally develops an intervention for the management of these levels, by introducing the person to a 2D digital stimulation environment in the case of Smartphone/TV or 3D (Virtual or Extended Reality), which provides tools for anxiety reduction and pain management.
ARTE PREVIO PREVIOUS ART
Experimentar ansiedad es un componente normal de la existencia humana. Las personas con trastornos de ansiedad suelen experimentar una preocupación y miedo intensos y persistentes por las situaciones cotidianas. A menudo, los trastornos de ansiedad implican episodios reiterativos y repentinos de ansiedad intensa y miedo que alcanzan su punto máximo en cuestión de minutos (ataques de pánico) . Experiencing anxiety is a normal component of human existence. People with anxiety disorders often experience intense and persistent worry and fear about everyday situations. Anxiety disorders often involve sudden, repetitive episodes of intense anxiety and fear that peak within minutes (panic attacks).
Estos sentimientos de ansiedad y pánico interfieren con las actividades cotidianas, son complejos de controlar, no guardan proporción con la realidad y pueden durar mucho tiempo. Si bien es cierto los sintomas pueden comenzar durante la niñez o la adolescencia, pueden continuar hasta la edad adulta. These feelings of anxiety and panic interfere with daily activities, are complex to control, are out of proportion to reality, and can last a long time. While it is true that symptoms can begin during childhood or adolescence, they can continue into adulthood.
Algunos ejemplos de trastornos de ansiedad incluyen el trastorno de ansiedad generalizada, el trastorno de ansiedad social, las fobias especificas, entre otros. Es posible tener más de un trastorno de ansiedad y en ocasiones, la ansiedad es el resultado de una afección médica que necesita tratamiento. Some examples of anxiety disorders include generalized anxiety disorder, social anxiety disorder, specific phobias, among others. It is possible to have more than one anxiety disorder, and sometimes anxiety is the result of a medical condition that needs treatment.
Cualquiera que sea la forma de ansiedad que el paciente posea, un tratamiento puede ayudar Los dos tratamientos principales para los trastornos de ansiedad son la psicoterapia y los medicamentos . Whatever form of anxiety the patient has, a treatment can help The two main treatments For anxiety disorders are psychotherapy and medications.
Por otra parte, el dolor es una sensación molesta que indica que algo puede estar mal. Puede ser constante, punzante, eléctrico, doloroso, pellizcante o descrito de otras formas. En ocasiones, es solo una molestia, como un leve dolor de cabeza, otras veces puede resultar debilitante e inclusive inhabilitante . On the other hand, pain is an uncomfortable sensation that indicates that something may be wrong. It may be constant, stabbing, electric, painful, pinching, or described in other ways. Sometimes it is just an annoyance, like a mild headache, other times it can be debilitating and even disabling.
El dolor puede provocar efectos colaterales como ira, cambios de humor o irritabilidad, depresión, entre otros sintomas físicos, como náuseas, mareos, debilidad o somnolencia. Probablemente lo más significativo es que puede alterar el ciclo de vida de una persona y afectar su desempeño laboral, sus relaciones e independencia. Pain can cause side effects such as anger, mood changes or irritability, depression, among other physical symptoms, such as nausea, dizziness, weakness or drowsiness. Probably most significantly, it can alter a person's life cycle and affect their job performance, relationships, and independence.
El dolor se clasifica como agudo o crónico. El dolor agudo suele ser intenso y de corta duración y, a menudo, es una señal de que el cuerpo ha sido afectado por una lesión. El dolor crónico puede variar de leve a severo, está presente durante largos periodos de tiempo y, a menudo, es el resultado de una enfermedad que puede necesitar un tratamiento continuo. Actualmente, la mejor forma de tratar el dolor es controlar los sintomas. Si la fuente de dolor no se puede tratar o no se conoce, especialistas en analgésicos ofrecerán opciones para el control del dolor mediante medicamentos. Pain is classified as acute or chronic. Acute pain is usually intense and short-lived and is often a sign that the body has been affected by an injury. Chronic pain can range from mild to severe, is present for long periods of time, and is often the result of an illness that may require ongoing treatment. Currently, the best way to treat pain is to control the symptoms. If the source of pain cannot be treated or is unknown, pain reliever specialists will offer options for pain control through medication.
El Dolor Crónico, afecta aproximadamente a 3 de cada 10 latinoamericanos y el 78% de los pacientes no están satisfechos con la eficiencia del tratamiento que reciben. Chronic Pain affects approximately 3 out of every 10 Latin Americans and 78% of patients are not satisfied with the efficiency of the treatment they receive.
Aunque potentes, los medicamentos para la salud mental y el dolor están diseñados para condiciones especificas y asi como calman el dolor y la ansiedad, pueden empeorar la salud también, con efectos secundarios que pueden incluir; dolores de cabeza, mareos, náuseas, aumento de peso, boca seca, calambres, pérdida del deseo sexual y problemas para dormir. Although powerful, mental health and pain medications are designed for specific conditions and while they ease pain and anxiety, they can worsen health as well, with side effects that can include; headaches, dizziness, nausea, weight gain, dry mouth, cramps, loss of sexual desire, and problems sleeping.
La cuanti f icación de la intensidad del dolor es fundamental, no olvidando que el dolor es por definición una experiencia emocional y sensorial. The quantification of pain intensity is essential, not forgetting that pain is by definition an emotional and sensory experience.
Dentro de lo que se ha descrito en el arte previo es posible visualizar soluciones que de alguna forma han ocupado por separado técnicas de realidad virtual y electroencefalograma, para cuantificar ansiedad e identificar y extraer señales relacionadas con el dolor. Within what has been described in the prior art it is possible to visualize solutions that in some way have separately occupied virtual reality techniques and electroencephalogram, to quantify anxiety and identify and extract signals related to pain.
La publicación de la patente WO2018059645 describe un sistema de neuro retroalimentación para el entrenamiento, a fin de reducir el dolor musculo esquelético. El sistema comprende un sensor EEG no invasivo para detectar la señal EEG de la persona en tanto un sistema de procesador, p. una tableta o similar, recibe valores de datos del sensor de EEG y calcula una magnitud de potencia de EEG dentro de la banda alfa de EEG en consecuencia. El sistema del procesador está programado para determinar un valor de referencia indicativo de la potencia de la banda alfa del EEG y determinar, en tiempo real, la potencia de la banda alfa del EEG en respuesta a los datos del sensor de EEG. Patent publication WO2018059645 describes a neurofeedback system for training to reduce skeletal muscle pain. The system comprises a non-invasive EEG sensor for detecting the EEG signal of the person as well as a processor system, e.g. a tablet or the like, receives data values from the EEG sensor and calculates an EEG power magnitude within the EEG alpha band accordingly. The processor system is programmed to determine a reference value indicative of the EEG alpha band power and determine, in real time, the EEG alpha band power in response to the EEG sensor data.
La publicación de la patente US20200233485 describe un dispositivo, sistema y lente de realidad virtual (VR) para generar una experiencia continua de VR coreograf iada para un procedimiento físico que incorpora al menos una acción de procedimiento asociada con una sensación física y que potencialmente induce una respuesta de ansiedad o dolor. La experiencia continua de VR puede modificar las percepciones de dolor y ansiedad asociadas con el procedimiento. Mientras el aparato está en funcionamiento y usado por el usuario, se proporcionan una o más experiencias de realidad virtual, cada una asociada con un procedimiento físico. Patent publication US20200233485 describes a virtual reality (VR) device, system and lens for generating a continuous choreographed VR experience for a physical procedure that incorporates at least one procedural action associated with a physical sensation and potentially inducing a anxiety or pain response. Continued VR experience may modify perceptions of pain and anxiety associated with the procedure. While the device is in operation and used by the user, one or more virtual reality experiences are provided, each associated with a physical procedure.
La publicación de la patente CN108324272 describe un dispositivo compuesto por un equipo de adquisición de señales de electroencef alograf ia, un módulo de preprocesamiento, un módulo de análisis y cómputo y un módulo de clasificación. El equipo de adquisición de señales de electroencef alograf ia se utiliza para adquirir señales de EEG ( electroencef alograf ia) en estados de reposo con los ojos abiertos y cerrados durante 8 minutos; el módulo de pre procesamiento se usa para extraer cuatro bandas de frecuencia delta, theta, alfa y beta de las señales de EEG después de que se lleva a cabo un procesamiento como reducción de muestreo, filtrado y eliminación de artefactos en las señales de EEG; el módulo de análisis y cálculo permite calcular los coeficientes de ansiedad de acuerdo con el LZC obtenido los valores de las cuatro bandas de frecuencia, y los coeficientes de ansiedad libre, ansiedad leve y ansiedad moderada y severa obtenidos pueden usarse como indices de juicio para examinar los grados de ansiedad; el módulo de clasificación se utiliza para aplicar máquinas de vectores de soporte para construir modelos de clasificación de grados de ansiedad con la ayuda de datos de entrada que son matrices características de coeficiente de ansiedad de multitudes sin ansiedad, ansiedad leve y ansiedad moderada y severa, y las matrices características del coeficiente de ansiedad son obtenidas después de extraer las características LZC de varias derivaciones, de modo que un estado libre de ansiedad, un estado de ansiedad leve y un estado de ansiedad moderada y severa pueden clasificarse de manera precisa, objetiva y automática. Patent publication CN108324272 describes a device composed of electroencephalography signal acquisition equipment, a preprocessing module, an analysis and computing module, and a classification module. Electroencephalography signal acquisition equipment is used to acquire EEG (electroencephalography) signals in resting states with eyes open and closed for 8 minutes; the pre-processing module is used to extract four frequency bands delta, theta, alpha and beta from the EEG signals after processing such as downsampling, filtering and removing artifacts is carried out on the EEG signals; The analysis and calculation module allows the anxiety coefficients to be calculated according to the LZC obtained, the values of the four frequency bands, and the coefficients of free anxiety, mild anxiety, and moderate and severe anxiety obtained can be used as judgment indices to examine the degrees of anxiety; The classification module is used to apply support vector machines to build classification models of anxiety degrees with the help of input data that are anxiety coefficient characteristic matrices of crowds without anxiety, mild anxiety, and moderate and severe anxiety, and the anxiety coefficient characteristic matrices are obtained after extracting the LZC characteristics of various leads, so that an anxiety-free state, a state mild anxiety and a state of moderate and severe anxiety can be classified accurately, objectively and automatically.
La publicación de la patente describe WO2019172563 un sistema para proporcionar una experiencia de tratamiento en un hospital según la presente invención comprende: una pantalla montada en la cabeza (HMD) que se usa en la cabeza de un paciente para mostrar una pantalla de realidad virtual (VR) o realidad aumentada (AR) ; un dispositivo integrado al que se acopla un sensor de reconocimiento de gestos de la mano para reconocer el gesto de la mano del paciente; un monitor de visualización para el tutor para que lo vean el tutor y el equipo médico del paciente; y una computadora para comunicarse con el dispositivo integrado, proporcionando al dispositivo integrado un contenido de experiencia de tratamiento que permite una experiencia virtual de un proceso de tratamiento en un hospital, al recibir la señal de voz del paciente o una señal de gesto con la mano detectada por el dispositivo integrado, proporcionando la dispositivo integrado con un contenido de experiencia de tratamiento interactivo correspondiente a la señal recibida, reflejando una pantalla idéntica a una pantalla de contenido proporcionada al dispositivo integrado, y mostrando la pantalla reflejada en el monitor de visualización guardián. La presente invención puede reducir la ansiedad y el estrés de un paciente proporcionando un servicio de experiencia de tratamiento basado en VR o AR. The patent publication WO2019172563 describes a system for providing a treatment experience in a hospital according to the present invention comprising: a head-mounted display (HMD) that is worn on a patient's head to display a virtual reality screen ( VR) or augmented reality (AR); an integrated device to which a hand gesture recognition sensor is attached to recognize the patient's hand gesture; a guardian display monitor for viewing by the guardian and the patient's medical team; and a computer for communicating with the integrated device, providing the integrated device with treatment experience content that allows a virtual experience of a treatment process in a hospital, by receiving the patient's voice signal or a hand gesture signal detected by the device integrated, providing the integrated device with interactive treatment experience content corresponding to the received signal, mirroring a screen identical to a content screen provided to the integrated device, and displaying the mirrored screen on the watchdog display monitor. The present invention can reduce a patient's anxiety and stress by providing a VR or AR based treatment experience service.
La publicación de la patente W02020204810 divulga un proceso para identificar y extraer señales de electroencefalograma (EEG) relacionadas con el dolor. El proceso comprende recibir, de uno o más ensayos, datos de EEG para cada ensayo; determinar una densidad de corriente para cada señal; estimar la densidad de corriente para un conjunto de regiones de actividad neural de interés, en base a la densidad de corriente calculada; y calcular al menos una característica de espectro para cada prueba en base a la densidad de corriente estimada. Por lo tanto, se puede calcular la media y la varianza de los cambios en los datos de EEG entre los datos de EEG etiquetados como indicativos de un estado de dolor y los datos de EEG etiquetados como indicativos de un estado sin dolor, para cada región de interés de la actividad neuronal, y se puede calcular la información relacionada con el dolor. Las señales de EEG se pueden identificar basándose en al menos una región de interés en la que la varianza está por debajo de un umbral predeterminado . Patent publication W02020204810 discloses a process for identifying and extracting electroencephalogram (EEG) signals related to pain. The process comprises receiving, from one or more trials, EEG data for each trial; determine a current density for each signal; estimating the current density for a set of regions of neural activity of interest, based on the calculated current density; and calculating at least one spectrum characteristic for each test based on the estimated current density. Therefore, the mean and variance of the changes in the EEG data between the EEG data labeled as indicative of a pain state and the EEG data labeled as indicative of a pain-free state can be calculated for each region. of interest from neural activity, and pain-related information can be calculated. The EEG signals are They can identify based on at least one region of interest in which the variance is below a predetermined threshold.
Las diferencias que se observan entre la presente invención y los documentos del arte previo, estarían dadas porque la solución objeto de la búsqueda, tiene por finalidad un diagnóstico de nivel de ansiedad y / o dolor en base a la medida y registro de la actividad cerebral, utilizando un dispositivo EEG portátil y una plataforma de Inteligencia Artificial en la nube (Cloud) que mediante machine learning desarrolla el procesamiento y entrega los resultados. The differences observed between the present invention and the documents of the prior art would be given because the solution object of the search is intended to diagnose the level of anxiety and/or pain based on the measurement and recording of brain activity. , using a portable EEG device and an Artificial Intelligence platform in the cloud (Cloud) that, through machine learning, develops the processing and delivers the results.
Utilizando técnicas de machine learning el sistema se encarga de la interpretación de la información cerebral, clasificación y entrega de resultados. Asi también un mecanismo identifica patrones, estructura subyacente o distribución en los datos obtenidos, para aprender e inferir patrones en el conjunto de datos cerebrales. Using machine learning techniques, the system is responsible for the interpretation of brain information, classification and delivery of results. Likewise, a mechanism identifies patterns, underlying structure or distribution in the data obtained, to learn and infer patterns in the brain data set.
La predicción de ansiedad y dolor se realiza mediante el Aprendizaje Supervisado, en donde un set de datos cerebrales entrenado, permite determinar el algoritmo adecuado para el modelo predictive, esto permite determinar las características de entrada del conjunto de datos de entrenamiento, el que deberá contar con suficiente conocimiento para predecir con precisión la salida de nivel de ansiedad y / o dolor. The prediction of anxiety and pain is carried out through Supervised Learning, where a trained brain data set allows determining the appropriate algorithm for the predictive model, this allows determining the input characteristics of the training data set, which You will need to have sufficient knowledge to accurately predict your anxiety and/or pain level output.
Proporcionando un conjunto de prueba, el sistema es supervisado para evaluar la precisión del modelo y si este predice el resultado correcto. By providing a test set, the system is monitored to evaluate the accuracy of the model and whether it predicts the correct outcome.
Otra diferencia la representa que el sistema de la invención incorpora un mecanismo de re troalimentación neural o Neurof eedback incorporado en la Intervención (I) que permite la adaptación en tiempo real de la experiencia visual y auditiva de relajación a partir de la lectura de ondas cerebrales y de esta manera entregar retroalimentación en tiempo real al usuario y/o paciente durante el ejercicio. Another difference is represented by the fact that the system of the invention incorporates a neural feedback mechanism or Neurofeedback incorporated into the Intervention (I) that allows real-time adaptation of the visual and auditory relaxation experience from the reading of brain waves. and in this way deliver real-time feedback to the user and/or patient during the exercise.
Los datos recopilados por la plataforma Cloud tienen el objetivo de analizarse y procesarse para entregar resultados a la persona en forma gráfica, acerca de sus principales métricas que intervienen en la manifestación de la ansiedad y el dolor, donde el usuario y/o paciente puede visualizar el nivel de ansiedad y nivel de dolor resultante en un panel de usuario (dashboard) el cual puede consultar de manera individual en un dispositivo computacional o smartphone, para hacer seguimiento de su avance e incluso recibir alertas que le permitan tomar acción para evitar cuadros agudos de ansiedad o de dolor (característica predictiva) . The data collected by the Cloud platform has the objective of being analyzed and processed to deliver results to the person in graphic form, about their main metrics that intervene in the manifestation of anxiety and pain, where the user and/or patient can visualize the level of anxiety and level of pain resulting in a user panel (dashboard) which can be consulted individually on a computer device or smartphone, to track their progress and even receive alerts that allow you to take action to avoid acute symptoms of anxiety or pain (predictive characteristic).
A partir de los datos recopilados, el uso de EEG para el diagnóstico y seguimiento de niveles de ansiedad y / o dolor de personas, que guarda directa relación con el resultado de la actividad cerebral, si bien se menciona en la publicación W02020204810, no se aprecia que se asocie a un grupo de pacientes previamente medidos y que hayan sido evaluados para ansiedad . From the data collected, the use of EEG for the diagnosis and monitoring of people's anxiety and/or pain levels, which is directly related to the result of brain activity, although mentioned in publication W02020204810, is not It is appreciated that it is associated with a group of patients previously measured and who have been evaluated for anxiety.
Otra diferencia la representa que el sistema de la invención incorpora un motor de cálculo y aprendizaje basado en inteligencia artificial (machine learning) , que provee un método para la predicción y prevención del evento de dolor crónico reagudizado de acuerdo a la información y seguimiento de las ondas cerebrales asociadas con la ansiedad y estrés. Another difference is represented by the fact that the system of the invention incorporates a calculation and learning engine based on artificial intelligence (machine learning), which provides a method for the prediction and prevention of the exacerbated chronic pain event according to the information and monitoring of the brain waves associated with anxiety and stress.
Otra diferencia la representa que el sistema de la invención incorpora una característica para la medición y registro en línea de los niveles de atención y relajación usando el sensor cerebral, que provee un mecanismo para el seguimiento en tiempo real de estos niveles, que pueden incidir en las crisis de ansiedad y dolor, facilitando la detección previa de los disparadores para hacer gestión sobre estos tempranamente . Another difference is represented by the fact that the system of the invention incorporates a feature for the online measurement and recording of the levels of attention and relaxation using the brain sensor, which provides a mechanism for real-time monitoring of these levels, which can affect anxiety and pain crises, facilitating detection prior to the triggers to manage them early.
DESCRIPCION DE LA INVENCION DESCRIPTION OF THE INVENTION
El objeto de la presente invención es proveer un sistema y método para el diagnóstico y gestión de ansiedad y dolor en personas, usando herramientas de electroencefalograma (EEG) portátil, Realidad Extendida, e Inteligencia Artificial, la que puede ser desarrollada por personas en su hogar, trabajo, centro de salud, durante una hospitalización o desde cualquier lugar . The object of the present invention is to provide a system and method for the diagnosis and management of anxiety and pain in people, using portable electroencephalogram (EEG), Extended Reality, and Artificial Intelligence tools, which can be developed by people in their home. , work, health center, during hospitalization or from anywhere.
Otro objeto de la presente invención es incorporar la intervención (Bloque I) dentro de la terapia multimodal utilizada para el manejo del dolor agudo, facilitando la reducción de fármacos y analgesia manteniendo la eficacia, disminuyendo las dosis, los efectos colaterales y las potenciales reacciones adversas de fármacos y analgesia. Another object of the present invention is to incorporate the intervention (Block I) into the multimodal therapy used for the management of acute pain, facilitating the reduction of drugs and analgesia while maintaining effectiveness, reducing doses, side effects and potential adverse reactions. of drugs and analgesia.
Otro objeto de la presente invención es proveer un sistema y método para el diagnóstico predictive de dolor reagudizado, basado en información de ondas cerebrales, escalas analógicas de valoración de dolor y ansiedad e inteligencia artificial (machine learning) , que permiten la predicción del evento de dolor crónico reagudizado dias antes de su aparición. Otro objeto de la presente invención es proveer un sistema y método para ajustar dosis de fármacos y analgesia (reducir dosis) , en pacientes con riesgo de hemorragia, alteración de la función renal, con alteración de la función hepática, alcohólicos, con antecedentes de accidente vascular cerebral, enfermedad coronaria, ancianos o con pacientes con factores de riesgo de agranulocitosis (por ej . quimioterapia) . Another object of the present invention is to provide a system and method for the predictive diagnosis of exacerbated pain, based on brain wave information, analog pain and anxiety rating scales and artificial intelligence (machine learning), which allow the prediction of the pain event. Chronic pain exacerbated days before its appearance. Another object of the present invention is to provide a system and method to adjust drug doses and analgesia (reduce doses), in patients with risk of hemorrhage, alteration of kidney function, with alteration of liver function, alcoholics, with a history of accident. cerebral vascular disease, coronary heart disease, the elderly or with patients with risk factors for agranulocytosis (e.g. chemotherapy).
Otro objeto de la presente invención es proveer método de Retroalimentación Neural disponible en el Bloque I, el que permite que elementos visuales y / o objetos en el entorno de ejercicio 2D o 3D, se sincronicen con las ondas cerebrales del usuario y / o paciente en tiempo real, para informar al usuario y / o paciente su progreso en el desarrollo de su ejercicio. Another object of the present invention is to provide a Neural Feedback method available in Block I, which allows visual elements and/or objects in the 2D or 3D exercise environment to be synchronized with the brain waves of the user and/or patient in real time, to inform the user and/or patient of their progress in the development of their exercise.
Otro objeto de la presente invención es proveer un sistema y método para el diagnóstico de ansiedad, basado en información de ondas cerebrales, y procesamiento basado en inteligencia artificial (machine learning) , que como resultado entrega un diagnóstico de ansiedad por medio de distintos niveles de intensidad . Another object of the present invention is to provide a system and method for the diagnosis of anxiety, based on brain wave information, and processing based on artificial intelligence (machine learning), which as a result provides a diagnosis of anxiety through different levels of intensity.
Otro objeto de la presente invención es proveer un sistema para la implementación de una intervención para la gestión de ansiedad y el dolor colaborativa, la que puede realizarse de forma grupal con otros pacientes (modalidad VR) , con el objetivo de humanizar la experiencia de ansiedad y dolor en el marco de una hospitalización, lo que sugiere un incremento en la mejoría del usuario y / o paciente. Another object of the present invention is to provide a system for the implementation of an intervention for collaborative anxiety and pain management, which can be carried out in a group with other patients (VR modality), with the aim of humanizing the anxiety experience. and pain in the framework of a hospitalization, which suggests an increase in the improvement of the user and/or patient.
Otro objeto de la presente invención es proveer un sistema para el intercambio de ondas cerebrales entre dos o más personas o pacientes, con la finalidad de alimentar con información cerebral un proceso de recuperación compartido, facilitando el traspaso de la emocionalidad cuando el proceso se lleva a cabo. Another object of the present invention is to provide a system for the exchange of brain waves between two or more people or patients, with the purpose of feeding brain information into a shared recovery process, facilitating the transfer of emotionality when the process is carried out. cape.
El sistema comprende un dispositivo sensor electroencefalograma portable para la captura de ondas cerebrales de la persona, un dispositivo Smartphone, TV Stick o dispositivo de realidad extendida como unidad de procesamiento y gateway entre el dispositivo EEG e internet, y una plataforma de Inteligencia Artificial en la nube, para la gestión de información del paciente, datos de ondas cerebrales, algoritmos de Machine Learning (ML) y presentación de diagnóstico y resultados. The system includes a portable electroencephalogram sensor device for capturing the person's brain waves, a Smartphone device, TV Stick or extended reality device as a processing unit and gateway between the EEG device and the Internet, and an Artificial Intelligence platform in the cloud, for the management of patient information, brain wave data, Machine Learning (ML) algorithms and presentation of diagnosis and results.
Como interfaz de usuario el sistema alternativamente puede operar desde un dispositivo Smartphone, TV Stick o Dispositivo de Realidad Extendida, de esta manera el usuario y / o paciente puede seguir las indicaciones durante la medición cerebral y ejercicios para la gestión de la ansiedad y el dolor. El método de la invención considera la interacción del usuario y / o paciente en una plataforma de procesamiento y visualización constituida por una pantalla 2D, 3D o Realidad Extendida dependiendo de la modalidad de uso y un dispositivo electroencefalograma potable, que en su conjunto proveen un método para el diagnóstico y / o pronóstico del nivel de ansiedad y / o dolor de una persona basado en el registro no invasivo de potencia de las bandas EEG del usuario y / o paciente y facilita una experiencia de relajación guiada. As a user interface, the system can alternatively operate from a Smartphone device, TV Stick or Extended Reality Device, in this way the user and/or patient can follow the instructions during the brain measurement and exercises for the management of anxiety and pain. . The method of the invention considers the interaction of the user and/or patient in a processing and visualization platform consisting of a 2D, 3D or Extended Reality screen depending on the modality of use and a potable electroencephalogram device, which together provide a method for the diagnosis and/or prognosis of a person's level of anxiety and/or pain based on the non-invasive recording of the power of the EEG bands of the user and/or patient and facilitates a guided relaxation experience.
Se proporciona un método y sistema que haciendo uso de un EEG portátil facilita diagnosticar y / o tratar el dolor, y / o la ansiedad, mediante la implementación de uno o más mecanismos de Machine Learning (ML) , que operan desarrollando una correlación entre el nivel de dolor y / o ansiedad del paciente autoevaluado mediante una escala visual (analógica) y la potencia de las bandas EEG medidas (EEG portátil) . A method and system is provided that, using a portable EEG, facilitates the diagnosis and/or treatment of pain and/or anxiety, through the implementation of one or more Machine Learning (ML) mechanisms, which operate by developing a correlation between the Patient's self-assessed pain and/or anxiety level using a visual (analogue) scale and the power of the measured EEG bands (portable EEG).
El sistema de detección dolor y / o ansiedad se alimenta de las señales de EEG obtenidas (potencia de las bandas EEG) y de los niveles de dolor y / o ansiedad autoevaluados e implementa una clasificación o detección de patrones para el diagnóstico de dolor y / o ansiedad sin requerir información adicional del usuario o paciente. Es posible implementar el método, sistema y dispositivo EEG para obtener un nivel de dolor en base a una medición en linea, resultado que puede ser provisto al usuario y/o paciente, especialista, tratante, o proveedor de servicios de salud . The pain and/or anxiety detection system is fed by the EEG signals obtained (power of the EEG bands) and the self-assessed levels of pain and/or anxiety and implements a classification or detection of patterns for the diagnosis of pain and/or anxiety. or anxiety without requiring additional information from the user or patient. It is possible to implement the EEG method, system and device to obtain a pain level based on an online measurement, a result that can be provided to the user and/or patient, specialist, treater, or health service provider.
La evaluación del dolor y / o ansiedad en linea, puede usarse para el monitoreo continuo de dolor de un usuario y / o paciente y sugerir uno o más ejercicios de relajación utilizando la interfaz de usuario disponible ya sea Smartphone, TV Stick o Dispositivo de Realidad Extendida, para reducir la percepción del dolor y evitar medicaciones innecesarias. The online pain and/or anxiety assessment can be used for continuous pain monitoring of a user and/or patient and suggest one or more relaxation exercises using the user interface available whether Smartphone, TV Stick or Reality Device. Extended, to reduce the perception of pain and avoid unnecessary medications.
Adicionalmente, la información de ondas cerebrales, nivel de atención y nivel de relajación del individuo durante su ejercicio de relajación, es procesada en linea por la plataforma en la nube, y simultáneamente en función de los niveles que se registren, se desarrollan cambios en tiempo real en el contenido visualizado por el usuario, con el objeto de producir un estado de relajación más profundo. Additionally, the information on brain waves, level of attention and level of relaxation of the individual during their relaxation exercise is processed online by the cloud platform, and simultaneously depending on the levels that are recorded, changes are developed over time. real in the content viewed by the user, with the aim of producing a deeper state of relaxation.
Los datos recopilados tienen el objetivo de almacenarse, analizarse, procesarse y presentarse al especialista o tratante en forma gráfica métrica en una plataforma clínica en la nube (Cloud) , donde el proveedor de servicios de salud puede visualizar los indicadores individuales del paciente por área, y entrega al paciente un acceso en la nube donde puede consultar de manera confidencial y segura sus niveles de ansiedad y / o dolor, hacer seguimiento a su avance en el programa de intervenciones para la gestión de la ansiedad y / o dolor y recibir feedback de especialistas. The data collected is intended to be stored, analyzed, processed and presented to the specialist or treater in metric graphic form on a clinical cloud platform (Cloud), where the health service provider can visualize the patient's individual indicators by area, and gives the patient cloud access where they can confidentially and securely consult their anxiety and/or pain levels, track their progress in the intervention program for the management of the anxiety and/or pain and receive feedback from specialists.
El acceso a la plataforma en la nube se proporciona al tratante o terapeuta para que este realice un seguimiento de los niveles de ansiedad y / o dolor del usuario o paciente, desarrolle seguimiento de un área o de ser necesario, realice una revisión detallada de la data cerebral de un paciente desde la ficha de paciente provista por el sistema. Access to the cloud platform is provided to the treatment or therapist so that they can track the anxiety and/or pain levels of the user or patient, develop monitoring of an area or, if necessary, carry out a detailed review of the brain data of a patient from the patient record provided by the system.
La experiencia para la gestión de la ansiedad y / o dolor es desarrollada en sesiones de manera similar a una terapia, cada sesión está compuesta por medidas básales de actividad cerebral (Bloque M) , e Intervención con ejercicios de rela ación y técnicas de respiración (Bloque I) . Durante toda la experiencia el usuario es acompañado por una voz en off que guia al usuario y explica de que trata cada experiencia. Una sesión en la plataforma está constituida por un primer Bloque M, Bloques I en una cantidad sugerida por la plataforma y un bloque M final . The experience for the management of anxiety and/or pain is developed in sessions in a manner similar to a therapy, each session is composed of baseline measures of brain activity (Block M), and intervention with relationship exercises and breathing techniques ( Block I) . Throughout the experience, the user is accompanied by a voice-over that guides the user and explains what each experience is about. A session on the platform is made up of a first M Block, I Blocks in an amount suggested by the platform and a final M block.
La sesión se inicia con el usuario y / o paciente contestando una escala de dolor y / o ansiedad (visual analógica) , y a continuación, el sistema adquiere una primera medida basal de actividad cerebral (utilizando EEG) esto es denominado en el sistema como Bloque M. The session begins with the user and/or patient answering a pain and/or anxiety scale (visual analogue), and then the system acquires a first basal measurement of brain activity (using EEG) this is called in the system as a Block. M.
Pueden existir tantos Bloques M individuales, como medidas de ansiedad y / o dolor se deseen obtener. Pueden existir múltiples registros individuales de ansiedad y dolor diarios, semanales o mensuales. There can be as many individual M Blocks as anxiety and/or pain measurements are desired. There may be multiple individual daily, weekly, or monthly records of anxiety and pain.
Finalizado el Bloque M, el usuario y / o paciente recibirá una lista de ejercicios de relajación recomendados por el sistema de Inteligencia Artificial, esto en función del nivel obtenido en las escalas y resultado de la medición basal con EEG. Asi también el sistema considera información de medidas y resultados pasados. Once Block M is completed, the user and/or patient will receive a list of relaxation exercises recommended by the Artificial Intelligence system, based on the level obtained on the scales and the result of the basal measurement with EEG. Likewise, the system also considers information from past measurements and results.
El Bloque de relajación o Bloque I, entrega técnicas para la gestión y prevención de la ansiedad y del dolor. The Relaxation Block or Block I, provides techniques for the management and prevention of anxiety and pain.
Una sesión en el sistema deberá incorporar al menos un Bloque M inicial, sucedido por una cantidad de Bloques I sugeridos por la plataforma y un Bloque M final. Durante la session, habiendo finalizado el Bloque M, se especificará una lista de ejercicios disponibles, cada uno representando un desafio para el usuario y / o paciente, el que deberá completar durante su intervención (Bloque I) . A session in the system must incorporate at least one initial M Block, followed by a number of I Blocks suggested by the platform and a final M Block. During the session, having completed Block M, a list of available exercises will be specified, each one representing a challenge for the user and/or patient, which must be completed during their intervention (Block I).
Un indicador de relajación y atención en tiempo real cuantifica la capacidad de encontrar un estado interno de atención plena, el que permite a los usuarios aprender a autoges tionar su ansiedad y / o dolor, facilitando el equilibrio interno. En las meditaciones (Bloque I) , se utiliza este indicador para crear señales audibles y el control de movimiento sobre objetos o animales que influencian la reía j ación . A real-time relaxation and attention indicator quantifies the ability to find an internal state of full attention, which allows users to learn to self-manage their anxiety and/or pain, facilitating internal balance. In meditations (Block I), this indicator is used to create audible signals and control movement over objects or animals that influence reflection.
El Bloque I incorpora prácticas de respiración y meditación guiada; en donde el usuario y /o paciente visualizará desde el dispositivo seleccionado 2D o 3D, una experiencia de relajación y / o aprendizaje con una guia en su formato digital (Avatar) , en un entorno relajante. La experiencia de relajación opera promoviendo cambios en los niveles de potencia EEG medidos de las distintas ondas cerebrales y específicamente las relacionadas con ansiedad y dolor (Alpha, Beta y Theta) . Es posible visualizar la magnitud de los cambios en la Plataforma Cloud, la que entrega gráficas que representan los distintos niveles de potencia EEG del usuario y/o paciente para los distintos bloques de intervención, tal como se describe en las Figuras 3 y 4 para dos bloques I respectivos (antes y después de la relajación) . Block I incorporates breathing practices and guided meditation; where the user and/or patient will view from the selected 2D or 3D device, a relaxation and/or learning experience with a guide in its digital format (Avatar), in a relaxing environment. The relaxation experience operates by promoting changes in the measured EEG power levels of the different brain waves and specifically those related to anxiety and pain (Alpha, Beta and Theta). It is possible to visualize the magnitude of the changes in the Cloud Platform, which provides graphs that represent the different levels of EEG power of the user and/or patient for the different intervention blocks, as described in Figures 3 and 4 for two respective I blocks (before and after relaxation).
El entorno de ejercicio se presenta al usuario a través de las alternativas para visuali zación disponibles. El entorno puede incluir simulaciones 3D, audios, objetos, imágenes/video de 360 grados y paisajes 2D correspondientes al ambiente reía j ante . The exercise environment is presented to the user through the available display alternatives. The environment may include 3D simulations, audio, objects, 360-degree images/video, and 2D landscapes corresponding to the current environment.
El ejercicio del Bloque I, incorpora la facilidad para que el usuario y / o paciente reciba recompensas por el logro de objetivos durante sus ejercicios; ante el incremento de potencia de las bandas Theta y Alpha y la reducción de la potencia de Beta por ejemplo. Las recompensas de carácter visual o auditivo relacionadas con los cambios en tiempo real de las ondas cerebrales, son advertidas al usuario en tiempo real para su gratificación y toman forma de puntaje y medallas en su perfil de usuario en la nube. The Block I exercise incorporates the facility for the user and/or patient to receive rewards for achieving objectives during their exercises; given the increase in power of the Theta and Alpha bands and the reduction in Beta power, for example. Visual or auditory rewards related to real-time changes in brain waves are alerted to the user in real time for their gratification and take the form of scores and medals in their user profile in the cloud.
DESCRIPCION DE LA MODALIDAD PREFERIDA DESCRIPTION OF THE PREFERRED MODALITY
La invención comprende un sistema integrado por un dispositivo de electroencefalograma (EEG) portátil para la medición de ondas cerebrales y retro alimentación neural (Neurofeedback) (400) , un dispositivo de procesamiento y visualización Smartphone o Tablet PC (430) y / o TV Stick (420) y /o Dispositivo de Realidad Extendida (410) , y una plataforma de diagnóstico y seguimiento en la nube basada en inteligencia artificial (300) , que se correlaciona con; un método de medición para la cuantif icación del nivel de ansiedad y dolor en usuarios y / o pacientes, con una intervención, para la gestión de la ansiedad y el dolor, y acotada a un número no finito de sesiones, permite optimizar la eficacia del tratamiento, disminuir las dosis de fármacos y analgesia reducir los efectos colaterales y las potenciales reacciones adversas . The invention comprises a system composed of a portable electroencephalogram (EEG) device for measuring brain waves and neural feedback (Neurofeedback) (400), a processing and display device Smartphone or Tablet PC (430) and/or TV Stick (420) and/or Extended Reality Device (410), and a cloud-based diagnostic and monitoring platform based on artificial intelligence (300), which correlates with; a measurement method for quantifying the level of anxiety and pain in users and/or patients, with an intervention, for the management of anxiety and pain, and limited to a non-finite number of sessions, allows optimizing the effectiveness of the treatment, reducing drug doses and analgesia reduce side effects and potential adverse reactions.
El sistema comprende una interfaz de usuario 2D o 3D, con el que produce la interacción del usuario y / o paciente, un mecanismo de diagnóstico mediante electroencefalograma, y una intervención que provee una experiencia de relajación conducida y que permite que el usuario y / o paciente desarrolle las capacidades para enfrentar los sintomas de ansiedad y de dolor en función de recomendaciones derivadas de un sistema de inteligencia artificial supervisado por un especialista. The system comprises a 2D or 3D user interface, with which the user and/or patient interacts, a diagnostic mechanism using electroencephalogram, and an intervention that provides a guided relaxation experience and that allows the user and/or The patient develops the skills to confront anxiety and pain symptoms based on recommendations derived from an artificial intelligence system supervised by a specialist.
Un sensor EEG (400) se fija en la frente del usuario y / o paciente (electrodo seco) , permite el registro de ondas cerebrales en Bloque M, y además permite la retro alimentación neural (Neurofeedback) dentro de la experiencia de relajación y gestión de ansiedad y dolor Bloque I. An EEG sensor (400) is fixed on the forehead of the user and/or patient (dry electrode), allows the recording of brain waves in Block M, and also allows neural feedback (Neurofeedback) within the relaxation and management experience. anxiety and pain Block I.
La captura de ondas cerebrales del Bloque M, permite el registro, almacenamiento y procesamiento de los datos de ondas cerebrales Delta, Theta, LowAlpha, HighAlpha, LowBeta, HighBeta, LowGama, HighGama en la plataforma en la nube (300) . El dispositivo de usuario final es el encargado de la integración con el EEG via bluetooth y la escritura de la data cerebral en la nube. The M Block brain wave capture allows the recording, storage and processing of Delta, Theta, LowAlpha, HighAlpha, LowBeta, HighBeta, LowGama, HighGama brainwave data on the cloud platform (300). The end user device is responsible for integrating with the EEG via Bluetooth and writing the brain data to the cloud.
Un contenido con componentes de reestructuración cognitive (350) es provisto al usuario y / o paciente a través de los medios de visualización disponibles, para el aprendizaje y desarrollo de técnicas de relajación y respiración conducentes a la adopción de nuevas herramientas para la gestión de ansiedad y /o dolor. Content with cognitive restructuring components (350) is provided to the user and/or patient through of the visualization media available, for the learning and development of relaxation and breathing techniques leading to the adoption of new tools for the management of anxiety and/or pain.
El sistema también comprende una plataforma en la nube que controla centralizadamente los dispositivos de usuario y / o paciente (300) , su contenido, gestiona las licencias de uso del sistema y método de la invención, registra información del usuario y / o paciente, almacena y procesa la información de las variables fisiológicas del usuario (EEG, u otros) , facilitando la mejora de los contenidos y el ajuste en tiempo real de éste a medida que el usuario lo visualiza. Mas particularmente la plataforma o software en la nube, gestiona el contenido visual que se presenta gráficamente en los dispositivos de visualización, sonidos (música o guiado de usuario por voz) y, por otra parte, concentra la data de retroalimentación neural (Neurofeedback) generada por el sensor EEG que se dispone en el usuario, facilitando que algoritmos de Inteligencia Artificial desarrollen recomendaciones que faciliten una mejora en el diagnóstico y experiencia . The system also comprises a cloud platform that centrally controls the user and/or patient devices (300), their content, manages the licenses for use of the system and method of the invention, records user and/or patient information, stores and processes the information of the user's physiological variables (EEG, or others), facilitating the improvement of the content and its real-time adjustment as the user views it. More particularly, the platform or software in the cloud manages the visual content that is presented graphically on the display devices, sounds (music or voice user guidance) and, on the other hand, concentrates the neural feedback data (Neurofeedback) generated. by the EEG sensor that is available to the user, making it easier for Artificial Intelligence algorithms to develop recommendations that facilitate an improvement in the diagnosis and experience.
De esta forma, se genera una ingesta de datos de alta velocidad para la agregación y almacenamiento de datos (340) en tiempo real, aplicación de algoritmos de inteligencia artificial (310) , entrenamiento y aprendizaje supervisado (320) , modulo predictive (330) , gestión de contenido terapéutico (350) , presentación e integraciones (360) y supervisión por especialistas (380) . In this way, high-speed data ingestion is generated for the aggregation and storage of data (340) in real time, application of intelligence algorithms artificial (310), supervised training and learning (320), predictive module (330), therapeutic content management (350), presentation and integrations (360) and supervision by specialists (380).
El sistema comprende un motor de cálculo y aprendizaje basado en inteligencia artificial (310) , que, basado en información de ondas cerebrales, escalas analógicas de valoración de dolor y ansiedad e inteligencia artificial (machine learning) , permite la predicción del evento de dolor crónico reagudizado previo a su manifestación. The system comprises a calculation and learning engine based on artificial intelligence (310), which, based on brain wave information, analog pain and anxiety rating scales and artificial intelligence (machine learning), allows the prediction of the chronic pain event. exacerbated prior to its manifestation.
En conformidad con un aspecto de la presente invención, el sistema de la invención integra medios análogos y digitales para medir y detectar los niveles de ansiedad y dolor del usuario y / o paciente antes, durante y con posterioridad a la sesión . In accordance with one aspect of the present invention, the system of the invention integrates analog and digital means to measure and detect the anxiety and pain levels of the user and/or patient before, during and after the session.
La característica analógica de la medición será provista mediante escalas visuales o inventarios, que el usuario y / o paciente completa cuando accede a la plataforma cloud o al inicio de una medida (Bloque M por si solo) o sesión. The analog characteristic of the measurement will be provided through visual scales or inventories, which the user and/or patient completes when accessing the cloud platform or at the beginning of a measurement (Block M alone) or session.
La característica digital de la medición está provista por el dispositivo EEG que realiza la lectura y registro de ondas cerebrales del usuario, con lo cual es posible hacer una estimación inicial, durante el ejercicio y al final de este o de forma aislada para solamente establecer la linea base de ansiedad y dolor. The digital characteristic of the measurement is provided by the EEG device that reads and records the user's brain waves, with which it is possible to make an initial estimate, during the exercise and at the end of it or in isolation to only establish the baseline of anxiety and pain.
Alternativamente a los estímulos de sonido, video y voz guia, la inmersión incorporará feedback relacionado, como lo son olores y otros insumos como, por ejemplo, viento generado por ventilador para incrementar la inmersión del usuario en la simulación, en tanto la interacción optativa con el facilitador será provista a modo de asistir al usuario en cualquier inquietud relativa al uso del sistema. Alternatively to sound, video and voice guidance stimuli, the immersion will incorporate related feedback, such as smells and other inputs such as, for example, wind generated by a fan to increase the user's immersion in the simulation, while the optional interaction with The facilitator will be provided to assist the user with any concerns related to the use of the system.
En conformidad con un aspecto relacionado con la presente invención, el sonido, video de fondo y voz guia generada, son controladas centralizadamente mediante la plataforma en la nube (PC) . In accordance with an aspect related to the present invention, the sound, background video and generated voice guidance are centrally controlled through the cloud platform (PC).
El usuario en cualquier momento del trayecto podrá tener acceso a un botón de ayuda o de asistencia para obtener feedback inmediato del facilitador o detener la simulación. The user at any time during the journey may have access to a help or assistance button to obtain immediate feedback from the facilitator or stop the simulation.

Claims

RE IVINDICAC IONES Sistema que proporciona un mecanismo de diagnóstico e intervención para la cuantif icación y gestión de ansiedad y dolor utilizando Inteligencia Artificial, CARACTERIZADO porque comprende un sensor de ondas cerebrales EEG, una unidad de visualización y procesamiento Smartphone y / o TV Stick y /o dispositivo de Realidad Extendida y despliegue de un componente de relajación, y una plataforma en la nube para la gestión de información del usuario y / o paciente, ondas cerebrales y datos generados por el sistema de Inteligencia Artificial. Sistema que proporciona un mecanismo de diagnóstico e intervención para la cuantif icación y gestión de ansiedad y dolor utilizando Inteligencia Artificial, CARACTERIZADO porque dicho sensor de ondas cerebrales es un dispositivo de electroencefalograma portátil. Sistema que proporciona un mecanismo de diagnóstico e intervención para la cuantif icación y gestión de ansiedad y dolor utilizando Inteligencia Artificial, de acuerdo con la reivindicación 1, CARACTERIZADO porque dicho sensor de ondas cerebrales posee un electrodo seco. Sistema que proporciona un mecanismo de diagnóstico e intervención para la cuantif icación y gestión de ansiedad y dolor utilizando Inteligencia Artificial, de acuerdo con la reivindicación 1, CARACTERIZADO porque dicho sensor de ondas cerebrales puede operar de forma independiente como banda para Smartphone y / o TV Stick, o ser acoplado al dispositivo de visualización basado en Realidad Extendida mediante un sistema de fijación. Sistema que proporciona un mecanismo de diagnóstico e intervención para la cuantif icación y gestión de ansiedad y dolor utilizando Inteligencia Artificial, de acuerdo con la reivindicación 1, CARACTERIZADO porque dicho sensor de ondas cerebrales entrega medidas de potencia en la banda EEG en tiempo real . Sistema que proporciona un mecanismo de diagnóstico e intervención para la cuantif icación y gestión de ansiedad y dolor utilizando Inteligencia Artificial, de acuerdo con la reivindicación 1, CARACTERIZADO porque dicho sensor de ondas cerebrales se enlaza via una conexión inalámbrica bluetooth con el dispositivo de procesamiento. Sistema que proporciona un mecanismo de diagnóstico e intervención para la cuantif icación y gestión de ansiedad y dolor utilizando Inteligencia Artificial, de acuerdo con la reivindicación 1, CARACTERIZADO porque comprende una interfaz de usuario que le permiten la interacción con el proceso de diagnóstico y la intervención de reía j ación . Sistema que proporciona un mecanismo de diagnóstico e intervención para la cuantif icación y gestión de ansiedad y dolor utilizando Inteligencia Artificial, de acuerdo con la reivindicación 1, CARACTERIZADO porque el contenido de la intervención comprende componentes de inmersión de reestructuración cognitiva para el alivio de la ansiedad y dolor. Sistema que proporciona un mecanismo de diagnóstico e intervención para la cuantif icación y gestión de ansiedad y dolor utilizando Inteligencia Artificial, de acuerdo con la reivindicación 1, CARACTERIZADO porque proporciona un mecanismo utilizando el EEG portátil facilita diagnosticar y / o tratar el dolor, y / o la ansiedad, mediante la implementación de uno o más algoritmos de Machine Learning (ML) , que operan desarrollando una correlación entre el nivel de dolor y / o ansiedad del paciente autoevaluado mediante una escala visual (analógica) y la potencia de las bandas EEG medidas (EEG portátil ) . . Sistema que proporciona un mecanismo de diagnóstico e intervención para la cuanti f icación y gestión de ansiedad y dolor utilizando Inteligencia Artificial, de acuerdo con la reivindicación 1, CARACTERIZADO porque dicha plataforma en la nube gestiona centralizadamente la creación de usuarios y / o pacientes, el registro de la información cerebral individualizada, el contenido que despliega la interfaz de visualización, gestiona las cuentas para uso del sistema y método de la invención, almacena información del usuario y procesa la información de las de ondas cerebrales (EEG) . Sistema que proporciona un mecanismo de diagnóstico e intervención para la cuanti f icación y gestión de ansiedad y dolor utilizando Inteligencia Artificial, de acuerdo con la reivindicación 1, CARACTERIZADO porque comprende capacidades para transmitir lo que ve el usuario y /o paciente a un smartphone o laptop, para que un acompañante o facilitador pueda supervisar la experiencia del usuario. Sistema que proporciona un mecanismo de diagnóstico e intervención para la cuanti f icación y gestión de ansiedad y dolor utilizando Inteligencia Artificial, de acuerdo con la reivindicación 1, CARACTERIZADO porque facilita una intervención no invasiva, conformada por un dispositivo de procesamiento y visualización y un dispositivo de electroencefalograma (EEG) , que en el bloque de medición facilita el registro de ondas cerebrales y durante la intervención provee la característica de retroalimentación neural. Sistema que proporciona un mecanismo de diagnóstico e intervención para la cuanti f icación y gestión de ansiedad y dolor utilizando Inteligencia Artificial, de acuerdo con la reivindicación 1, CARACTERIZADO porque la Plataforma Cloud haciendo uso de una API, permite la captura, almacenamiento y procesamiento de datos que pueden ser integrados con terceras partes u otras plataformas . Sistema que proporciona un mecanismo de diagnóstico e intervención para la cuanti f icación y gestión de ansiedad y dolor utilizando Inteligencia Artificial, CARACTERIZADO porque la intervención incorpora el registro de actividad cerebral del usuario y alimenta con datos de ondas cerebrales a una Plataforma en la nube (Cloud) , donde se registra el comportamiento cerebral para los diferentes bloques de sesión y procesamiento mediante el machine learning. Sistema que proporciona un mecanismo de diagnóstico e intervención para la cuanti f icación y gestión de ansiedad y dolor utilizando Inteligencia Artificial, de acuerdo con la reivindicación 14, CARACTERIZADO porque incorpora una medida e intervención para el manejo del dolor, proveyendo en una Plataforma Cloud la información, resultados y recomendaciones, facilitando la toma de decisiones del especialista, facilitando la reducción de fármacos y analgesia, manteniendo la eficacia, y reduciendo las dosis, efectos colaterales y las potenciales reacciones adversas . Sistema que proporciona un mecanismo de diagnóstico e intervención para la cuanti f icación y gestión de ansiedad y dolor utilizando Inteligencia Artificial, de acuerdo con la reivindicación 14, CARACTERIZADO porque los datos recopilados por dicha plataforma en la nube se analizan, procesan y presentan al especialista en forma gráfica métrica (dashboards) , donde la organización de salud o centro puede visualizar el nivel de ansiedad y dolor en un dashboard individualizado por usuario y / o paciente . Sistema que proporciona un mecanismo de diagnóstico e intervención para la cuanti f icación y gestión de ansiedad y dolor utilizando Inteligencia Artificial, de acuerdo con la reivindicación 14, CARACTERIZADO porque dicha Plataforma en la nube se proporciona al centro de salud para realizar un seguimiento de la utilización de la intervención en usuarios y desarrollar análisis comparativos respecto al uso de fármacos y analgesia versus la utilización de la intervención sin medicamentos.. Sistema que proporciona un mecanismo de diagnóstico e intervención para la cuanti f icación y gestión de ansiedad y dolor utilizando Inteligencia Artificial, de acuerdo con la reivindicación 14, CARACTERIZADO porque dicha intervención es desarrollada en sesiones de manera similar a una terapia para el dolor, en donde cada sesión está compuesta por bloques que contemplan un bloque de medición (Bloque M) , uno o más bloques de intervención (Bloque I) , y un último bloque de medición (Bloque M) .. Sistema que proporciona un mecanismo de diagnóstico e intervención para la cuanti f icación y gestión de ansiedad y dolor utilizando Inteligencia Artificial, de acuerdo con la reivindicación 18, CARACTERIZADO porque el entorno o bloque de intervención (Bloque I) incluye simulaciones, imágenes/video de 360 grados, audios, correspondientes a la intervención, sesión y Bloque I seleccionado para el ejercicio de la sesión. . Sistema que proporciona un mecanismo de diagnóstico e intervención para la cuanti f icación y gestión de ansiedad y dolor utilizando Inteligencia Artificial, de acuerdo con la reivindicación 19, CARACTERIZADO porque dicho entorno de relajación se sincroniza con las indicaciones de una voz en off y de una guia de meditación en su versión digital. Sistema que proporciona un mecanismo de diagnóstico e intervención para la cuanti f icación y gestión de ansiedad y dolor utilizando Inteligencia Artificial, de acuerdo con la reivindicación 14, CARACTERIZADO porque comprende que en dicha actividad cerebral se mida ondas cerebrales Delta, Theta, LowAlpha, HighAlpha, LowBeta, HighBeta, LowGama, HighGama, de modo de llevar a cabo la lectura y envio de niveles de ondas cerebrales del usuario a la plataforma ubicada en la nube. RE IVINDICATIONS System that provides a diagnosis and intervention mechanism for the quantification and management of anxiety and pain using Artificial Intelligence, CHARACTERIZED because it comprises an EEG brain wave sensor, a display and processing unit Smartphone and/or TV Stick and/or or Extended Reality device and deployment of a relaxation component, and a cloud platform for the management of user and/or patient information, brain waves and data generated by the Artificial Intelligence system. System that provides a diagnosis and intervention mechanism for the quantification and management of anxiety and pain using Artificial Intelligence, CHARACTERIZED because said brain wave sensor is a portable electroencephalogram device. System that provides a diagnosis and intervention mechanism for the quantification and management of anxiety and pain using Artificial Intelligence, according to claim 1, CHARACTERIZED because said brain wave sensor has a dry electrode. System that provides a diagnostic and intervention mechanism for the quantification and management of anxiety and pain using Artificial Intelligence, according to claim 1, CHARACTERIZED in that said brain wave sensor can operate independently as a band for Smartphone and / or TV Stick, or be coupled to the display device based on Extended Reality through a system of fixation. System that provides a diagnosis and intervention mechanism for the quantification and management of anxiety and pain using Artificial Intelligence, according to claim 1, CHARACTERIZED because said brain wave sensor delivers power measurements in the EEG band in real time. System that provides a diagnosis and intervention mechanism for the quantification and management of anxiety and pain using Artificial Intelligence, according to claim 1, CHARACTERIZED because said brain wave sensor is linked via a Bluetooth wireless connection with the processing device. System that provides a diagnosis and intervention mechanism for the quantification and management of anxiety and pain using Artificial Intelligence, according to claim 1, CHARACTERIZED because it comprises a user interface that allows interaction with the diagnostic process and reia j ation intervention. System that provides a diagnosis and intervention mechanism for the quantification and management of anxiety and pain using Artificial Intelligence, according to claim 1, CHARACTERIZED because the content of the intervention comprises immersive components of cognitive restructuring for the relief of anxiety and pain. System that provides a diagnosis and intervention mechanism for the quantification and management of anxiety and pain using Artificial Intelligence, according to claim 1, CHARACTERIZED because it provides a mechanism using the portable EEG to facilitate the diagnosis and/or treatment of pain, and/or or anxiety, through the implementation of one or more Machine Learning (ML) algorithms, which operate by developing a correlation between the level of pain and/or anxiety of the patient self-assessed using a visual (analog) scale and the power of the EEG bands measurements (portable EEG). . System that provides a diagnosis and intervention mechanism for the quantification and management of anxiety and pain using Artificial Intelligence, according to claim 1, CHARACTERIZED because said cloud platform centrally manages the creation of users and/or patients, the registration of individualized brain information, the content displayed by the display interface, manages the accounts for use of the system and method of the invention, stores user information and processes brain wave information (EEG). System that provides a diagnosis and intervention mechanism for the quantification and management of anxiety and pain using Artificial Intelligence, according to claim 1, CHARACTERIZED because it comprises capabilities to transmit what the user and/or patient sees to a smartphone or laptop, so that a companion or facilitator can supervise the user experience. System that provides a diagnosis and intervention mechanism for the quantification and management of anxiety and pain using Artificial Intelligence, according to claim 1, CHARACTERIZED because it facilitates a non-invasive intervention, consisting of a processing and visualization device and a device electroencephalogram (EEG), which in the measurement block facilitates the recording of waves brain and during the intervention provides the characteristic of neural feedback. System that provides a diagnosis and intervention mechanism for the quantification and management of anxiety and pain using Artificial Intelligence, in accordance with claim 1, CHARACTERIZED because the Cloud Platform, using an API, allows the capture, storage and processing of data that can be integrated with third parties or other platforms. System that provides a diagnosis and intervention mechanism for the quantification and management of anxiety and pain using Artificial Intelligence, CHARACTERIZED because the intervention incorporates the recording of the user's brain activity and feeds brain wave data to a Cloud Platform ( Cloud), where brain behavior is recorded for the different session and processing blocks using machine learning. System that provides a diagnosis and intervention mechanism for the quantification and management of anxiety and pain using Artificial Intelligence, according to claim 14, CHARACTERIZED because incorporates a measure and intervention for pain management, providing information, results and recommendations in a Cloud Platform, facilitating the specialist's decision making, facilitating the reduction of drugs and analgesia, maintaining effectiveness, and reducing doses, side effects and potential adverse reactions. System that provides a diagnosis and intervention mechanism for the quantification and management of anxiety and pain using Artificial Intelligence, according to claim 14, CHARACTERIZED because the data collected by said cloud platform is analyzed, processed and presented to the specialist in metric graphic form (dashboards), where the health organization or center can visualize the level of anxiety and pain in a dashboard individualized by user and/or patient. System that provides a diagnosis and intervention mechanism for the quantification and management of anxiety and pain using Artificial Intelligence, according to claim 14, CHARACTERIZED because said Cloud Platform is provided to the health center to track the use of the intervention in users and develop analysis comparatives regarding the use of drugs and analgesia versus the use of intervention without drugs. System that provides a diagnosis and intervention mechanism for the quantification and management of anxiety and pain using Artificial Intelligence, according to claim 14, CHARACTERIZED because said intervention is developed in sessions in a similar way to pain therapy, where each session is composed of blocks that include a measurement block (Block M), one or more intervention blocks (Block I), and a last measurement block (Block M).. System that provides a diagnosis and intervention mechanism for the quantification and management of anxiety and pain using Artificial Intelligence, according to claim 18, CHARACTERIZED because the environment or intervention block (Block I) includes simulations, 360-degree images/video, audio, corresponding to the intervention, session and Block I selected for the session exercise. . System that provides a diagnosis and intervention mechanism for the quantification and management of anxiety and pain using Artificial Intelligence, according to claim 19, CHARACTERIZED because This relaxation environment is synchronized with the instructions of a voice-over and a meditation guide in its digital version. System that provides a diagnosis and intervention mechanism for the quantification and management of anxiety and pain using Artificial Intelligence, according to claim 14, CHARACTERIZED because it comprises that in said brain activity Delta, Theta, LowAlpha, HighAlpha brain waves are measured. , LowBeta, HighBeta, LowGama, HighGama, in order to carry out the reading and sending of the user's brain wave levels to the platform located in the cloud.
PCT/CL2022/050089 2022-09-07 2022-09-07 System for diagnosing and managing anxiety or pain WO2024050650A1 (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014151874A1 (en) * 2013-03-14 2014-09-25 Accendowave Incorporated Systems, methods and devices for assessing and treating pain, discomfort and anxiety
US20150351655A1 (en) * 2013-01-08 2015-12-10 Interaxon Inc. Adaptive brain training computer system and method
US20170071495A1 (en) * 2013-04-22 2017-03-16 Personal Neuro Devices Inc. Methods and devices for brain activity monitoring supporting mental state development and training
US10092206B2 (en) * 2012-12-07 2018-10-09 Rivka SELA Neurofeedback treatment system and method
US20220323766A1 (en) * 2020-12-31 2022-10-13 Advanced Neuromodulation Systems, Inc. Systems and methods for providing neurostimulation therapy according to machine learning operations

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10092206B2 (en) * 2012-12-07 2018-10-09 Rivka SELA Neurofeedback treatment system and method
US20150351655A1 (en) * 2013-01-08 2015-12-10 Interaxon Inc. Adaptive brain training computer system and method
WO2014151874A1 (en) * 2013-03-14 2014-09-25 Accendowave Incorporated Systems, methods and devices for assessing and treating pain, discomfort and anxiety
US20170071495A1 (en) * 2013-04-22 2017-03-16 Personal Neuro Devices Inc. Methods and devices for brain activity monitoring supporting mental state development and training
US20220323766A1 (en) * 2020-12-31 2022-10-13 Advanced Neuromodulation Systems, Inc. Systems and methods for providing neurostimulation therapy according to machine learning operations

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