WO2019136246A1 - Suivi multidimensionnel de la douleur - Google Patents

Suivi multidimensionnel de la douleur Download PDF

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Publication number
WO2019136246A1
WO2019136246A1 PCT/US2019/012345 US2019012345W WO2019136246A1 WO 2019136246 A1 WO2019136246 A1 WO 2019136246A1 US 2019012345 W US2019012345 W US 2019012345W WO 2019136246 A1 WO2019136246 A1 WO 2019136246A1
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WO
WIPO (PCT)
Prior art keywords
pain
patient
speech
data
indicia
Prior art date
Application number
PCT/US2019/012345
Other languages
English (en)
Inventor
Pavel GOLDSTEIN
Tor D. WAGER
Mehmet KAZGAN
Burak CETIN
Original Assignee
The Regents Of The University Of Colorado, A Body Corporate
Cliexa, Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by The Regents Of The University Of Colorado, A Body Corporate, Cliexa, Inc. filed Critical The Regents Of The University Of Colorado, A Body Corporate
Publication of WO2019136246A1 publication Critical patent/WO2019136246A1/fr

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Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4824—Touch or pain perception evaluation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0077—Devices for viewing the surface of the body, e.g. camera, magnifying lens
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1126—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique
    • A61B5/1128—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique using image analysis
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4803—Speech analysis specially adapted for diagnostic purposes
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/174—Facial expression recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20—Movements or behaviour, e.g. gesture recognition
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
    • G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
    • G10L25/63—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for estimating an emotional state
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

Definitions

  • This invention relates to pain management. More specifically, it relates to translating speech patterns and video data into pain level quantifications and emotional states through computer-based processing.
  • Pain is a complex phenomenon that is affected by multiple factors and expressed in multiple ways. Pain influences, and is influenced by, emotional health, stress, and fatigue. Like pain, emotions are not abstract feelings - they are felt in the body and influenced by bodily processes.
  • the health care professional may order the patient to undergo unnecessary tests. For the patient, it is difficult to recall the exact nature and location of pain, particularly if its occurrence happens over a long period of time. Specific periods or moments may be recalled, but details of its occurrence (e.g. time, date, place), and variables (e.g. symptoms, medications) associated with it, before, during and after the occurrence of pain may go unreported.
  • the present disclosure may address one or more of the problems and deficiencies in the art discussed above. However, it is contemplated that this disclosure may prove useful in addressing other problems and deficiencies in many technical areas. Therefore, the present application should not necessarily be construed as limited to addressing any of the problems or deficiencies discussed herein.
  • the present invention is a mobile application for tracking interactions between pain, pain medication, fatigue, stress, and multiple emotions over time, and allowing patients to report these experiences in an effortless and engaging way.
  • the application also captures patterns of speech and facial expressions, which deliver a readout of patients implicit (or unconscious) emotional state.
  • the application is used by patients for self-monitoring and self-insight, and delivers interactive graphics to clinicians and care providers, providing an easy-to-digest picture of emotional health and pain over time.
  • Embodiments disclosed herein include methods of quantitatively and qualitatively evaluating pain, as well as related steps.
  • a method of evaluating pain including capturing multidimensional pain data including capturing speech and video data of a patient on a mobile computing device operated by the patient, capturing self-reported pain character and medication adherence by the patient, capturing emotional and psychological information from the patient, analyzing the speech and video data for indicia of bodily pain, analyzing the video data for face expression for indicia of bodily pain, quantifying the indicia of bodily pain into relative values, and reporting the relative values to a health care provider.
  • a method of evaluating pain including wherein capturing speech and video data, as well as self-reported pain and medication adherence is collected as a first set of data by the patient during a first time period; and wherein capturing speech and video data, as well as self-reported pain and medication adherence is collected as a second set of data by the patient during a second time period; and wherein the first and second sets of data are received at a first computer connected to a computer network and transmitted to a pain tracking computer coupled to the computer network.
  • a method of evaluating pain wherein the first and second sets of data transmitted to the pain tracking computer is at a different location from the first computer.
  • a method of evaluating pain wherein the first and second sets of data is accessible by a health care professional at a location difference from the location of the patient and the location of the pain tracking computer.
  • a method of evaluating pain wherein the emotional and psychological information include at least one of happy, unhappy, angry, depressed, anxious, fear, fear of pain, stressed, relaxed, tired, sad, relieved, apathy, low energy, no interest in doing things, and difficulty concentrating.
  • a method of evaluating pain wherein the medication adherence includes the type of medication and the disease state for which it was prescribed.
  • the speech data provides data on the quality of the patient’s speech which can include pressured speech, muted speech, halting speech patterns, and other indicia of pain found in speech.
  • the video data provides data on the patient’s facial expressions and movements which provides information and other indicia of pain manifested in the patient’s face.
  • a method of evaluating pain further including the step of obtaining at least one alarm condition and transmitting an alert when at least one of the alarm conditions have been met.
  • a computer programmed to perform the methods described above to evaluate multidimensional pain values.
  • a computer readable medium containing computer- executable instruction for performing the methods described above to evaluate multidimensional pain values.
  • FIG. 1 shows chart data representative of healthy and chronic pain processes.
  • FIG. 2 show thermal imaging of anthropomorphic shapes representative of differing emotional states.
  • FIG. 3 is a mobile graphic user interface according to an embodiment of the invention.
  • FIG. 4 is a diagrammatic view of information collected and transmitted to a health care provider.
  • FIG. 5 depicts a system for tracking and displaying pain according to an embodiment of the invention.
  • FIG. 6 depicts a method for tracking and displaying pain according to an embodiment of the invention.
  • Any reference to a computer is contemplated to include tablets, mobile phones, computers, laptops, or any other device capable of computing.
  • phrases“connected to” and“coupled to” refer to any form of interaction between two or more entities, including mechanical, electrical, magnetic, electromagnetic, fluid, and thermal interaction. Two components may be connected or coupled to each other even though they are not in direct contact.
  • Fig. 1 Chronic pain patients show abnormal and maladaptive response to life stressors (Fig. 1) resulting in depression, anxiety and emotional disorders that may in turn amplify pain level and affect their well-being.
  • a stressor e.g., nociceptive pain
  • Fig. 1 depicts the healthy adaptive process 102 and the maladaptive process of chronic pain 104.
  • Fig. 1 also depicts the type of individual responses to chronic pain 106.
  • the individual responses to chronic pain 106 may include: pain intensity, autonomic disturbance, sex drive, appetite, sleep disturbance, depression, anxiety, motor activity, and cognitive dysfunction.
  • Fig. 2 Different emotions are consistently associated with separable bodily sensation maps (Fig. 2) and these bodily sensation maps changed from less to more specific, adult-like patterns as a function of age. Some physiological bases of this phenomenon are already discovered. For example, current research discovered that bidirectional brain-gut communication affects our emotions and the path could be used for treating depression and anxiety.
  • Fig. 2 shows bodily topography of basic (Upper) and non-basic (Lower) emotions.
  • the body maps show regions whose activation increased (10 to 15 range of grayscale) or decreased (-10 to -15 of the grayscale) when feeling each emotion.
  • the present invention includes a mobile platform for tracking pain patient emotions based on following principles: simplicity, scientifically proven and clinically validated tools, real- time feedback for patients and clinicians.
  • the app allows patients:
  • this patient input 302 can provide timelines of pain 306 related emotional states, linked with other information, such as medication history 308, and overall quality of pain 304, back to the patient and to care providers as depicted in Fig. 3. This is also depicted in Fig. 4 as the pain and medication adherence tracking information 402 and emotional body maps 404.
  • Fig. 4 To report symptoms, medical adherence and self-reported measurements of psychological health (e.g. depression, anxiety, emotional states, pain categorization) as depicted in Fig. 4 this is the patient psychological health 406.
  • the mobile application provides valuable feedback about patients’ physical and emotional well-being, identifying patients at risk.
  • Voice and speech data is analyzed using machine learning to determine the model that may take combinations of a multitude of speech features (characteristics).
  • Fig. 3 shows a screenshot of the pain and emotions body maps in the patient input 302. A user can locate pain and multiple emotional states, into the appropriate body parts, estimating also the experienced intensity. Fig. 3 also shows an example of feedback provided to patient and clinician. An association between pain, emotions and medication.
  • Fig. 4 provides a visual summary of the application and the feedback directions. Since body awareness therapy have a therapeutic effect in pain conditions, the personalized feedback for a patient, provided by the application, may serve as a treatment, improving a pain condition and general well-being.
  • the patient 412 provides information on pain and medication adherence 402; emotional body map information 404; psychological health 406; speech and voice analysis 408; and face expression analysis 410. This information then is gathered in the cloud 414 or internet where the health care provider 416 can access it.
  • the face expression analysis 410 in some embodiments is a picture taken by the patient of their face at the time they are entering information into the system which is then time coded.
  • Fig. 5 depicts a system 500 for tracking and displaying pain in accordance with an embodiment of the claimed subject matter.
  • a user enters wholistic information using an interface, such as through a mobile application 502.
  • the wholistic information can then travel through a computer network 504 such as the internet, to a pain-tracking computer 506.
  • the computer network 504 can be any network used to connect computers together.
  • the pain tracking computer 506 contains an interface 508 for communicating with network 504 and a controller 510 for controlling the operation of the computer.
  • a health care professional can also send and receive information to and from computer network 504 via a different web browser 508.
  • Examples of browsers that can be used with the present invention include Microsoft Internet Explorer, or Google Chrome.
  • Browsers 502 and 508 can be installed on personal computers, personal digital assistants, smart phones, or any other wireless communication devices used to access a computer network.
  • a replay generator 520 links together time-sequenced images of pain locations on a graphical display to allow a health care professional to visually observe pain migration and intensity. The time-sequenced images can be viewed from the physician or health care professional’s browser 508 or from another device.
  • Pain tracking computer 506 can also alert the health care professional, or user patient, when a predetermined condition exists. For example, a health care professional may want to be alerted when the user takes a medication for more than 3 days, or if a stressor or emotional state has been logged into the system more than 3 times.
  • An alarm limit database 522 can be located within pain tracking computer 506 and can store information relating to variables such as sleep and pain intensity and when an alert condition should be declared. Controller 510 may retrieve the information from database 522 and compare it to information provided by the user.
  • the health care professional, user, or both may receive alert messages by communication channels such as e-mail, or text message.
  • the health care professional or patient may rank or provide conditions for receiving alerts through the communication channels. For example, a health care professional may decide to first receive an e-mail message and to receive a text message 2 hours later if the health care professional does not respond to the e- mail message.
  • the health care professional or patient may also elect to be alerted or certain conditions by one communication channel and other conditions by other communication channels, or to have such alerts diverted to other individuals.
  • the communication channel corresponds to the urgency of the alert.
  • Figure 6 shows a method for tracking pain migration.
  • the user registers via the web site, or is registered by a properly authorized individual.
  • the registration step may also be accomplished by telephone (e.g., by speaking to an operator or to an interactive-voice- response type system); by entering information on a web page; or any other mannerthat allows pain-tracking computer 506 to obtain information from the user.
  • the user may setup an account in step 603.
  • a user can specify pain tracking selection criteria (medications, foods, moods, stressors, etc.) as well as create user definable fields if desired.
  • the selection criteria may be predefined by a health care provider, system operator or another party.
  • the user can have their health care professional, or other authorized individuals, set up their account for them.
  • the user may also set user preferences, such as links to family, friends, and groups. The user may choose to share their information and join forums and register for other services.
  • step 604 the user enters pain information graphically through a user interface that permits the user to identify variables such as the location, intensity, characteristics of pain, and various wholistic variables such as mood and outside stressors.
  • the user optionally answers questions regarding their lifestyle, symptoms other than pain related symptoms, and other questions that are specific to their treatment.
  • step 608 the pain information for the user may be collected across a sequence of different time periods (e.g., hours, days, weeks, months, etc.) and stored in a database.
  • the database is secure and is compliant with all medical privacy standards to protect confidential patient information. Backup copies of the database may be produced for added security.
  • Pain tracking computer 506 compiles the information provided by the user in step 608 and may also use algorithms designed to assist health care professionals with assessing and diagnosing a user’s conditions. Finally, in step 610 the collected pain information is displayed for the user or their health care professional, or other authorized individuals or organizations, to review.
  • Computer executable instructions for performing the method illustrated in Fig. 6 and other disclosed methods may be stored on a computer readable medium, such as a CD-ROM.
  • the user can identify family members or specific groups or individuals who are registered with pain tracking computer 506. Pain tracking computer 506 may then use information provided by family members or specific groups or individuals when determining which questions to ask or what information to provide. Information provided by the user can be stored in database 512. Alternatively, sensitive user information can be stored locally on the device the user uses to connect to computer network 504 to protect the user's privacy. The private information can then be retrieved when it is needed by pain tracking computer 506. In one alternative embodiment, health care professionals, or other individuals, can carry out the steps described in this paragraph, in place of the user, provided they are authorized to do so.
  • the user registers with pain tracking computer 506 and, as part of setting up his/her account, selects whether to allow his/her health care professional, or other authorized individuals, to access the entered information.
  • the user is not required to share his/her information with a health care professional and can keep all information confidential.
  • the health care professional or other authorized individuals initially registers with pain tracking computer 506 and determines which users may utilize the services offered by pain tracking computer 506. The user can then contact pain tracking computer 506 and verify that he or she is the person authorized by the health care professional, for example, to utilize the services offered by pain tracking computer 506.
  • Pain tracking computer 506 might want to control access to pain tracking computer 506 to prevent people with whom they do not have a professional relationship from utilizing the services offered by pain tracking computer 506.
  • Users registered with pain tracking computer 506 who have selected to have their information shared with their health care professional or other authorized parlies can be listed, tracked, and updated on computer 506 to allow the health care professional or other authorized parties to better follow the user's condition.
  • the claimed subject matter provides a system and method that allows patients to record information such as location, intensity of pain as well as wholistic variables such as state of mind, and emotional state, which are valuable in assessing, diagnosing, and treating acute and chronic pain conditions.
  • the information recorded by the patient will be subject to established medical standards and is designed to improve patient care and provide patients with a direct role to play in understanding and treating their pain condition.
  • the system can provide real-time patient monitoring that is multidimensional and wholistic in its approach.
  • the system can provide alerts and alarms, and other forms of communication between the patient and their health care team.
  • the information provided by the patient may be displayed chronologically to the patient and their health care professional.
  • the information may also be provided in graphical form indicating multidimensional factors such as emotional state, location of pain, and related information (e.g. medication usage, associated activities, time of day, quality of the pain, or resolution of the pain) over time.
  • the method includes the steps of receiving from a user a first set of medical information by the user during a first time and receiving from the user a second set of medical information by the user during a second time period.
  • a health care professional or user can choose to display the information received in different formats accessible from several different locations using a web browser or on a PC, handheld device or other devices used for communicating over the Internet, or like communication channels.
  • the displayed formats may include charts, histograms and a moving sequence of images that shows changes in the recorded information over time.
  • the data displayed can assist physicians and health care professionals in analyzing patient data and could include feedback in the form of diagnostic considerations that would help medical professionals in conducting the proper tests used to diagnose a patient's condition.
  • the health care professional can set alarms within the invention, to be alerted when set limits (e.g. pain intensity, missed work days) are exceeded by their patient. This alarm can be an e-mail or text message to a predetermined address or number.
  • the best mode for performing the claimed subject matter may be embodied on various computing platforms that perform actions responsive to software-based instructions and most particularly on touchscreen portable devices.
  • the following provides an antecedent basis for the information technology that may be utilized to enable the invention.
  • the computer readable medium described in the claims below may be a computer readable signal medium or a computer readable storage medium.
  • a computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing.
  • a computer readable storage medium may be any non-transitory, tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
  • a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof.
  • a computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
  • claims to this invention as a software product are those embodied in a non-transitory software medium such as a computer hard drive, flash-RAM, optical disk or the like.
  • Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, optical fiber cable, etc., or any suitable combination of the foregoing.
  • Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object-oriented programming language such as Java, C#, C++, Visual Basic, Python, R or the like and conventional procedural programming languages.
  • These computer program instructions may also be stored in a computer readable medium that can direct a computer, other programmable data processing apparatus, or other devices to function in a particular manner, such that the instructions stored in the computer readable medium produce an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
  • the computer program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
  • an“end-user” is an operator of the software as opposed to a developer or author who modifies the underlying source code of the software.
  • authentication means identifying the particular user while authorization defines what procedures and functions that user is permitted to execute.

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Abstract

L'invention concerne un cadre d'application mobile destiné à évaluer la douleur et l'état émotionnel d'un patient à distance. L'application mobile utilise un matériel existant communément dans des téléphones intelligents et des dispositifs de tablette, tels que des microphones et des caméras, en vue de capturer des paroles et des gestes qui forment des indices destinés à l'analyse informatique et à la quantification des niveaux de douleur et des états émotionnels de l'utilisateur. L'utilisateur peut être invité à lire un dialogue prédéfini standardisé à partir d'une population statistiquement significative, destiné à une analyse de la douleur et des émotions. De telles manifestations physiques d'indices de douleur sont ensuite mémorisées, transmises et rapportées à des prestataires de soins de santé en vue d'adapter des soins de patient ou d'initier une intervention. L'utilisateur peut également auto-rapporter la douleur et l'état émotionnel par l'intermédiaire de l'application mobile, laquelle fournit ainsi des données aussi bien subjectives qu'objectives à des prestataires de soins de santé. De plus, des valeurs auto-rapportées et calculées informatiquement peuvent permettre d'adapter un algorithme d'apprentissage automatique en vue d'améliorer la précision, à mesure que les données s'accumulent.
PCT/US2019/012345 2018-01-05 2019-01-04 Suivi multidimensionnel de la douleur WO2019136246A1 (fr)

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US201862614024P 2018-01-05 2018-01-05
US62/614,024 2018-01-05

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2021243336A1 (fr) * 2020-05-29 2021-12-02 West Virginia University Board of Governors on behalf of West Virginia University Évaluation de la douleur d'un utilisateur par l'intermédiaire d'une série chronologique de paramètres provenant de dispositifs de surveillance portables

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100081860A1 (en) * 2008-04-24 2010-04-01 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Computational System and Method for Memory Modification
US20140276188A1 (en) * 2013-03-14 2014-09-18 Accendowave Inc. Systems, methods and devices for assessing and treating pain, discomfort and anxiety
US20170018007A1 (en) * 2015-07-15 2017-01-19 Edmond Defrank Integrated mobile device management system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100081860A1 (en) * 2008-04-24 2010-04-01 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Computational System and Method for Memory Modification
US20140276188A1 (en) * 2013-03-14 2014-09-18 Accendowave Inc. Systems, methods and devices for assessing and treating pain, discomfort and anxiety
US20170018007A1 (en) * 2015-07-15 2017-01-19 Edmond Defrank Integrated mobile device management system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2021243336A1 (fr) * 2020-05-29 2021-12-02 West Virginia University Board of Governors on behalf of West Virginia University Évaluation de la douleur d'un utilisateur par l'intermédiaire d'une série chronologique de paramètres provenant de dispositifs de surveillance portables

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