WO2021038599A1 - Système et procédé pour fournir des interventions cliniques et physiques à l'aide d'un appareil électromécanique - Google Patents

Système et procédé pour fournir des interventions cliniques et physiques à l'aide d'un appareil électromécanique Download PDF

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WO2021038599A1
WO2021038599A1 PCT/IN2020/050757 IN2020050757W WO2021038599A1 WO 2021038599 A1 WO2021038599 A1 WO 2021038599A1 IN 2020050757 W IN2020050757 W IN 2020050757W WO 2021038599 A1 WO2021038599 A1 WO 2021038599A1
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sensor
receiver
clinical
transmitter
feedback
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PCT/IN2020/050757
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English (en)
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Karthikeyan Gopinathan
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Karthikeyan Gopinathan
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1124Determining motor skills
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2505/00Evaluating, monitoring or diagnosing in the context of a particular type of medical care
    • A61B2505/09Rehabilitation or training
    • AHUMAN NECESSITIES
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    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0204Acoustic sensors
    • AHUMAN NECESSITIES
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    • A61B2562/00Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0219Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
    • AHUMAN NECESSITIES
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    • A61B2562/00Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
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    • A61B2562/0233Special features of optical sensors or probes classified in A61B5/00
    • AHUMAN NECESSITIES
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    • A61B2562/0247Pressure sensors
    • AHUMAN NECESSITIES
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    • AHUMAN NECESSITIES
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    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/0205Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
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    • A61B5/021Measuring pressure in heart or blood vessels
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    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024Detecting, measuring or recording pulse rate or heart rate
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    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14542Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases
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    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
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    • A61B5/48Other medical applications
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    • AHUMAN NECESSITIES
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    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6887Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
    • A61B5/6891Furniture
    • AHUMAN NECESSITIES
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    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems

Definitions

  • the present invention generally relates to systems and methods for providing health related care for individuals. More particularly, the present invention relates to a system and method for improving the clinical and physical interventions by providing automated personalized feedback.
  • Movement is produced by several brain structures, such as the motor cortex, the cerebellum, and the basal ganglia.
  • movement is caused by the afferent neurons input transmitted from the sensory organs (e.g. eye, skin) to the central nervous system to coordinate the functioning of the body movements like speed and positioning of various body parts.
  • the sensory organs e.g. eye, skin
  • patent Number 10194837 to Kanchan Karan Harish et.al entitled “Devices For Measuring Human Gait And Related Methods Of Use” discloses with a portable device for analyzing bio-mechanical and human gait analysis data while performing any physical activity, where the device comprises one or more sensors to collect bio-mechanical data and transmitting it to a server to provide feedback in real time on the bio-mechanical and gait parameters experienced by the user's body while performing any particular activity.
  • United States Patent Application Number 20180330810, to Gamarnik Viktor et.al, entitled “Physical Therapy Monitoring Algorithms” deals with a system for providing guidance and support for physical therapy treatments using accelerometers to sense the speed of the subject performing exercise relative to the reference model of the exercise movement.
  • the present invention aims to fill the gaps in the complete rehabilitation care continuum by making the system and apparatus modular that can be used bedside in clinical settings as well as at the comforts of their home.
  • the primary object of the present invention is to provide a simple, cost-effective, portable system, apparatus and a method for providing integrated and intensive rehabilitation to improve clinical and physical interventions of the patient as well as speech and cognitive functions.
  • Another object of the present invention is to provide a home and hospital compatible self-assessing system and method for improving the body functions of the individuals under both clinical and non-clinical contexts.
  • Still another objective of the present invention is to provide a modular and portable electro-mechanical apparatus to enable interactions and movements prompted by an application in a portable electronic device.
  • Yet another objective of the present invention is to provide an automatic personalized physical activity-based feedback using an artificial intelligence algorithm implemented in the application of the portable electronic device.
  • Yet another objective of the present invention is to provide the clinicians to track, monitor and respond or modify rehabilitation protocols remotely and directly to the feedback received from the artificial intelligence algorithm, through a portal.
  • the present invention provides a system, apparatus and method for improving the clinical and physical interventions of the individuals by automatically providing personalized feedback based on their level of disability and allowing the patient to carry out the appropriate exercise in an electro-mechanical apparatus.
  • a system for improving the clinical and physical interventions of the patients comprises: a plurality of sensor pods positioned in different positions of three-dimensional space or area of the receiver’s and transmitter’s area for collecting clinical, non-clinical and performance data from the receiver; a hub for transmitting the obtained data from the sensor pods; a cloud server with an algorithm and recommendation engine for receiving the data obtained through the hub and providing automatic personalized feedback to both healthcare provider and the patient relating to type of exercises, intensity, activities, adjustments in the apparatus, adjustments of the patient’s body from the apparatus etc.; a portable electro-mechanical apparatus for performing the body movements based on the personalized feedback; a portable electronic device with a web portal for obtaining the data from the pods, for reviewing the progress of the recipient remotely by the healthcare provider or a physiotherapist and getting personalized feedback from the server.
  • the patient and therapist / doctor play the role of receiver and transmitter respectively.
  • a modular and portable electro-mechanical apparatus for carrying out the personalized physical exercise recommended by the system, where the apparatus comprises: a hub for docking mobile and to receive data from the sensor pods and various accessories including: a set of activity accessories like two cycling pedals, rowing oars, steering wheel; ergonomic accessories such as weight distribution seat, back support strap, adjustable stand and assistive accessories like portable electronic device holder, pulley and straps.
  • a method for improving the physical, cognitive and speech functions comprising the steps of (i) obtaining clinical, non-clinical and performance data using sensor pods which are placed at different positions in three-dimensional(3D) space of the receiver and transmitter; (ii) transmitting the obtained data from the sensor pods to a hub; (iii) receiving the data from hub and providing personalized feedback to both transmitter and receiver using an algorithm recommendation engine in the server; (iv) allowing the receivers for performing the physical movements as provided on the personalized feedback relating to body functions such as type of exercise, intensity, activities, adjustments in the exercise equipment, adjustments of the recipient’s body using a portable electro-mechanical apparatus; and (v) monitoring the progress of the receiver remotely by the transmitter through a web portal in a portable electronic device.
  • the hub transmits the data obtained from the sensor pods to cloud storage via portable electronic device for providing appropriate exercise-based feedback.
  • the hub has the localized artificial intelligence infrastructure, in which the obtained clinical and performance data (training data) is stored in the originating portable electronic device and it works without regular internet connectivity for providing appropriate personalized exercise-based feedback.
  • the electromechanical apparatus allows the patient to use assistance of the unaffected body part for moving the affected body part through prompts from the application of the portable electronic device.
  • the system uses assistive accessories and modules that interacts via Internet-of-Things (IOT).
  • IOT Internet-of-Things
  • the physician transmitter
  • the assessments by activating the IOT modules through two- way communication protocols to trigger prompts, track, record and monitor the parameters including, but not limited to, range of motions of the limbs, agility, strength, endurance, quality of the movements, balance and posture.
  • the system, apparatus and method of the present invention can be used by any individual who needs to enhance their body functions and preferably the system, apparatus and method of the present invention is used for various interventions like physical, cognitive and speech therapy, Physiotherapy and Occupational therapy for children and adults suffering from neurological disorders resulting in movement disorders.
  • FIG. 1 illustrates a block diagram of principal components of the system in accordance with the present invention
  • FIG. 1 A illustrates the arrangement of sensor pod in accordance to system of the present invention
  • FIG. 2, 2 A illustrate the electro mechanical apparatus according to an exemplary embodiment of the invention
  • FIG. 3 illustrates a logical flow chart explaining the steps involved in improving the physical activity of recipient in accordance with the present invention.
  • Fig. 4 shows the process involved in the algorithm in the sever in accordance with the method of present invention.
  • Fig. 5 shows the recommendation engine used in the method of the present invention.
  • the present invention discloses a simple, portable, cost-effective, home-based, self-assessing system and method for improving physical movement of the patients.
  • the present invention provides a system for providing motor rehabilitation and body motor functions using artificial intelligence algorithm by providing automated personalized feedback relating to type of exercise, adjusting the orientation, angle of the apparatus and adjusting the body orientation, angle from the apparatus. Also, it provides the rehabilitation for speech, cognitive language, physiotherapy and other rehabilitation modalities to the individuals.
  • the system (100) for providing motor rehabilitation by improving the clinical and physical interventions comprising: a plurality of sensor pods (112a, 112b) positioned in different positions of three- dimensional space with respect to hub and other electronic devices in the both receiver’s space and transmitter’s space for collecting clinical, non-clinical and performance data from the receiver (110); a hub (114a, 114b) for transmitting the obtained data from the sensor pods (112a, 112b); a cloud server (130) with an algorithm and recommendation engine for receiving the data obtained through the hub (114a, 114b) and providing automatic personalized feedback (116a, 116b) to both healthcare provider and the patient relating to type of exercises, intensity, activities, adjustments in the apparatus, adjustments of the patient’s body from the apparatus etc.; a portable electro-mechanical apparatus (140a, 140b) for performing the physical movements based on the personalized feedback (116a, 116b); a portable electronic device (118a, 118b) with a web portal for obtaining
  • the transmitter (120) may be a healthcare provider, physician, physio-therapist, tutor, instructor and trainer but not limited to thereof.
  • the receiver (110) may be neurological disorder patients, movement disorder patient individuals and students but not limited to thereof.
  • transmitter (120) and the receiver (110) are reversed in the scenarios such as the receiver’s (110) actions for purpose of assessment in clinical or non-clinical conditions.
  • the communication between the transmitter (120) and receiver (110) are secured through encryption layer.
  • the sensor pods (112a, 112b) is selected from the group comprising of force sensor, transducers that are not limited to pressure sensor, motion sensor, movement sensor, moisture sensor, haptic sensor, light sensor, sound sensor, breath sensor, speech/sounds sensor, inertial measurement unit (IMU sensor), camera-based sensors, IR sensor, myoelectric sensors and other physiological biosensors.
  • force sensor transducers that are not limited to pressure sensor, motion sensor, movement sensor, moisture sensor, haptic sensor, light sensor, sound sensor, breath sensor, speech/sounds sensor, inertial measurement unit (IMU sensor), camera-based sensors, IR sensor, myoelectric sensors and other physiological biosensors.
  • Sensor pods (112a, 112b) used in the present invention are not only limited to aforementioned sensors, as various type of sensors are used to obtain the clinical, non-clinical and performance data of the recipient, where the performance data includes cognition, speech and physical data (e.g. movement, force), non- clinical data includes primary and secondary education through puppetry, show and tell etc., and professional education like design, engineering, architecture and clinical data includes physiological data (e.g. blood pressure, heart rate, oxygen saturation levels).
  • the performance data to be monitored includes range of motions of the limbs, agility, strength, endurance, quality of movement, balance, posture but not limited to thereof.
  • the data captured from the recipients (i.e. receivers) (110) directly or intermittently through the internet or both which are present in vicinity and transmitted through local Wi-Fi network.
  • the captured data is passed through algorithms to convert sensor data into clinical and non- clinical parameters for transmitter’s (120) interest. This conversion of data is useful for creating hypothesis, assessments, prescription, education, monitoring, modification, intervention, documentation and report generation.
  • the processed data includes baseline performance and the subsequent outcomes over the progression of their interaction.
  • Each sensor pod (110) are IOT modules that includes the following non-limiting components of, but not limited to, iOS mini, Bluetooth Tx, IMU, Li-Ion 1300 mAh Battery, Force Sensor (in Pod), LED Indicators and Strap.
  • the sensor pods (112a, 112b) used in the three- dimensional space of both the receiver (110) and transmitter (120) can be secured or embedded in the three-dimensional objects such as mattress, table, chair and electro-mechanical equipment for monitoring the clinical, non-clinical and performance data from the receiver (110) and transmitter (120).
  • the sensor pods have features for (i) fastening onto modules; and (ii) digital integration / data transfer.
  • the sensor pods (112a, 112b) are fastened onto or secured as proprietary modules / frameworks or structures as well as the third-party devices. It is fastened through belt by means of materials such as silicone, cloth, plastic, metal and materials are selected as per the requirements.
  • the sensors (as shown in FIG. 1 A) are press-fit into the cavities to accept these sensors from sensor pods to enable digital data transfer as well as mechanical interfacing and it can be fastened by the mechanisms such as magnets, stickers, Velcro, snap-fits.
  • the notches in the sensor pods act as a locator during docking as well as functional uses such as signal transmission between other modules or accessories.
  • the enclosures are changeable in order to evoke desired sensations in different game contexts.
  • the sensor pods fastened as framework is a flat pack structure that host the modules, interface with the transmitter (120) and / or receiver (110) and act as a medium to capture the intended movement through the data collected by the sensor pods.
  • the hub (114a, 114b) of the present invention acts as a charging hub cum portable electronic device dock that receives the data from the pods (112a, 112b) and transmits to the portable electronic device (118a, 118b).
  • the hub (114a, 114b) receives all 5 Bluetooth Low Energy signals (BLE signals) and comprises following non-limiting components:
  • the sensors (112a, 112b) can also be act as hub (114a, 114b) and its configuration is, but not limited to, ESP32/Arduino mini, Bluetooth, Rx 2 cell Li-Ion Capacity 4000 mAh, Battery Charging dock for pods, Phone holder, LED indicators, Accessory- strap for walkers/ bars.
  • the hub (114a, 114b) acts as an intermediate to transmit the data obtained from the sensor pods (112a, 112b) to the cloud server (130) for providing automatic personalized exercise feedback (116a, 116b).
  • the hub (130) has the localized artificial intelligence infrastructure, in which the obtained clinical, non-clinical and performance data is stored as training data in the originating portable electronic device (130) and it works without regular internet connectivity for providing appropriate personalized exercise-based feedback (116a, 116b).
  • any networking device can be used for data transmission.
  • the transmitter (physiotherapist) (120) understands the requirement of the receiver (patient) (110)
  • the transmitter (120) selects, assigns and programs one or more modules in different combinations to achieve desired actions at the receiver end using a software configurator in the Web portal.
  • the software configurator tracks and records the intended movements of the transmitter and creates pathways in 3D space. These pathways are used to track the recipient’s actions in comparison with these pathways or drive the physical modules in order to achieve the desired behaviors/ movements of the patient.
  • the created pathways are implemented through manual or automated adjustments on the electro-mechanical apparatus and its associated modules at the recipient end.
  • the transmitter chooses to add appropriate modules that can be used individually or is coupled to the apparatus to be mechanically driven by the recipient.
  • an external means such as an assistant or a power module (210) includes gear arrangement has electricity or battery or stored energy such as springs.
  • Feedback (116a, 116b) provided by the system (100) of the present invention with the help of recommendation engine in server (130), is automatic and personalized to the particular patient and/or healthcare provider, in which it contains information relating to type of exercise, type of apparatus to be used, activity, intensity level etc., Moreover, the system (100) provides two additional feedbacks such as active feedback (1161a, 1161b) and passive feedback (1162a, 1162b) which are provided to correct the movement of the patient and to make them comfortable.
  • active feedback 1161a, 1161b
  • passive feedback 1162a, 1162b
  • the active feedback occurs when the transmitter and recipient are both in physical presence of each other or when there is continuous internet connectivity.
  • the feedback provides information relating to manual adjustment of the recipient’s body movements, angles, vertical and/or horizontal distances from the electro-mechanical apparatus. Further, it involves superimposing the virtual 3D reference model displayed in the portable electronic device (118a, 118b) with the virtual 3D recipient model to provide feedback for correcting the movement of the recipient.
  • the healthcare provider’s and patient’s modules are in sync with each other and one can act as driver and other as slave.
  • the slave can be over-ridden by the patient as enabled by the configurations pushed by the transmitter through the configurator.
  • the passive feedback occurs when the individual is not connected together and merely gets prompts or feedback that has already been programmed or recorded. It provides information relating to manual adjustment of the angles, vertical and/or horizontal distances of the electro-mechanical apparatus (140a, 140b).
  • the system (100) of the present invention provides a feedback (116a, 116b) relating to specific drugs to be taken, amount of drug to be taken, hospital visit and give appropriate feedbacks and interventions.
  • a feedback 116a, 116b
  • the movement and force data along with other sensors through the sensor platform will pass through the cloud based or local artificial intelligence engines in accordance with the present invention, to give a sense of the capabilities or limitations of the neurological patient to the clinician. This information will provide the clinicians with the necessary information to take appropriate response either as injections or drugs to be administered or rearranging the apparatus or change the activity accessories on the apparatus.
  • the feedback (116a, 116b) provided in the portable electronic device (118a, 118b) can be an audio, visual, prompt, message and tactile feedback is achieved through IOT modules as well as the power assistive modules etc.,
  • the changes in three-dimensional (3D) space or the movement and changes in position of accessories at the receiver (110) space are immediately notified to the transmitter (120) through the server (130) using the power assistive modules.
  • the portable electronic device (130) of the present invention can include any portable electronic devices (130) like smart phone, tablet, laptop, iPad and smart watches but not limited to the same.
  • the device (130) provides secure authentication and authorization to the sensor pods (110). While opening or booting up of the portable electronic device (130), API Keys/passwords are sent to the hub (114a, 114b) in order to authenticate the sensor pods (112a, 112b) and to authorize the usage of the services provided by the portable electronic device (140a, 140b) to get automatic personalized feedback (116a, 116b).
  • the authentication of the sensor pads in the recipient’s end are done through facial recognition, registered device ID, cumulative past performance behavior, connected mobile device and / or dedicated display and processing device.
  • the portable electronic device (118a, 118b) of the present invention includes, but not limited to, a web application, online platform, web portal and software for monitoring the progress of the receiver (110) remotely by the transmitter (120).
  • Electro-mechanical apparatus
  • the modular and portable electro-mechanical apparatus (140a, 140b) of the present invention (referred as Physio stand) allows/enables the patient to use the pedal of the apparatus using the unaffected body part to move the affected body part.
  • any similar type of physical apparatus can be used to improve the motor functions.
  • a portable electro-mechanical apparatus for carrying out the personalized physical exercise recommended by the system, where the apparatus comprises: a hub for docking mobile (202) and to receive data from the sensor pods (212a, 212b) and various accessories including, but not limited to: a set of activity accessories like two cycling pedals (208), rowing oars, steering wheel; ergonomic accessories such as weight distribution seat, back support strap (206a), adjustable stand (214) and assistive accessories like portable electronic device holder (202), pulley (204) and straps (206).
  • a hub for docking mobile (202) and to receive data from the sensor pods (212a, 212b) and various accessories including, but not limited to: a set of activity accessories like two cycling pedals (208), rowing oars, steering wheel; ergonomic accessories such as weight distribution seat, back support strap (206a), adjustable stand (214) and assistive accessories like portable electronic device holder (202), pulley (204) and straps (206).
  • the activity accessories in the apparatus are modules that promote different activities that are prompted by the application, such as cycling, rowing, driving, etc., It also have constraining modules (218) in to avoid the undesirable movements during the exercise.
  • the ergonomic accessories are modules that enable the patient to carry out the prompts by the application in an ergonomic and comfortable manner such as adjustable seating, back support straps (206a), etc.
  • the assistive accessories can be electro-mechanical in nature.
  • the apparatus and its stand are modular in nature, it enables easy shipping and consumes less storage space.
  • the apparatus contains markings (216) that inform the recipient on the adjustments to be made.
  • the apparatus allows for adjustments to degree of difficulty through angle markings, friction, distance from receiver’s body, ergonomic settings and dictate the accessories and activity modules that are essential to create the desired environment for the receiver to achieve the desired movement set by the transmitter.
  • the system, apparatus and method of the present invention can be used by any individual who needs to enhance their body functions and preferably the system, apparatus and method of the present invention is used for various interventions such as Physical therapy, Cognitive and Speech therapy, Physiotherapy and Occupational therapy for children and adults suffering from neurological disorders resulting in movement disorders.
  • the present invention provides cognitive and speech therapy using the application in the portable electronic devices.
  • the application houses multiple activities and two of the main activities are repetitive activity sets and an environment-based activity.
  • repetitive activity sets the patient is immersed in a virtual world and prompted to perform speaking actions with virtual characters (i.e. speech therapy) and in environment-based activity, the application prompts to react to social cues and navigate the environment (i.e. cognitive therapy).
  • step S310 obtaining clinical, non-clinical and performance data using sensor pods (112a, 112b) which are placed at different positions in three- dimensional (3D) space of the receiver (110) and transmitter (120);
  • step S320 transmitting the obtained data from the sensor pods (112a, 112b) to a hub (114a, 114b);
  • step S330 receiving the data from the hub (114a, 114b)and providing personalized feedback (116a, 116b) to both transmitter (120) and receiver (110) using an algorithm and recommendation engine in the server (130) and in step S340, allowing the receivers (105) for performing the physical movements as the personalized feedback relating to body functions such as type of exercise, type of apparatus, intensity of exercise, activity, adjustments in the apparatus, adjustments of the recipient’s body from the apparatus using a portable electro-mechanical apparatus (140a, 14b).
  • step S350 monitoring the progress of the receiver (110) remotely by the transmitter (120) through the web portal in a portable electronic device (118a,
  • Fig. 4 shows the process involved in the algorithm in the sever (130).
  • the sensor data i.e. clinical, non-clinical and performance data
  • the sensor data is received at ideal reference parameters from variety of individuals. These data are used to generate training set and non-linear regression model. Once the regression model is set, the feedback control loop is used to provide the recommendation based on the feature extraction in three steps as follow:
  • Identify the limitation of the patient such as body type, disability etc. compensate for unknown parameters, generate compensatory parameters and integrate the specific compensatory parameters based on predefined strategies.
  • the method of the present invention utilizes the previously analyzed data and recommends the next actions from which the transmitter can chooses to act upon.
  • the recommendations include, but are not limited to, the type of activities to be prescribed, the modules to be assigned, values such as movement range, angle, distance, force, speed, light intensity, color, temperature, haptic feedbacks., etc. of the assistive modules.
  • Fig. 5 shows the recommendation engine used in the method of the present invention, when the transmitter (120) approves the actions that can be recommended to receiver via cloud or local server (130) through prompts, instructions, active or passive feedbacks.
  • the receiver (110) sends the responses that is also be shared to the server (130), where the responses are actions such as, but not limited to, speech, text inputs etc.
  • an algorithm in the server gets the learning data to generate the regression model.
  • the algorithm recommends the transmitters (120) with clinical and non- clinical parameters through a recommendation engine.
  • the clinical parameters recommended by the algorithm includes, but not limited to, cellular oxygen consumption, spasticity / flaccidity, time taken for actions etc.
  • the non-clinical parameters recommended by the algorithm includes, but not limited to, learning outcomes, amount of physical activity, engagement levels etc.
  • the recommendation from the engine includes the actions, but not limited to, clinical interventions, modifications of apparatus parameters, activity or game parameters such as repetitions, sets, frequency etc., suggestions on assistive devices, accessories, modules, configuration settings, activities etc.
  • the method of the present invention allows for monitoring and giving instruction for body functions can be switched between the transmitter (120) and the receiver (110) and vice versa.
  • the method of present invention can also be used to train the individuals in the pre-school, primary and secondary education and professional education.
  • the system and method of the present invention is home and hospital compatible since it is intended to be usable at hospitals (e.g. bedside) where the patient is recovering and similarly the system and method can also be used in the home setting.
  • the advantages of the present invention including, but not limited to, are: simple, portable, cost-effective, home based and self-assessing system for improving the physical movement of the patients.
  • the present invention proposes an ecosystem solution which aims at addressing the preventative, cognitive, speech and motor rehabilitative, palliative physical therapy and exercise needs of patients with chronic disability caused by clinical and non-clinical conditions.

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Abstract

L'invention concerne un système d'auto-évaluation et un procédé de rééducation cognitive, vocale et motrice des patients, simples, économiques, et adéquats pour la maison et pour l'hôpital. En référence à la figure 1, le système (100) pour améliorer des interventions cliniques et physiques à l'aide d'un appareil électromécanique (140), comprend une pluralité de nacelles de capteur (112a, 112b) positionnées dans différentes positions de la zone tridimensionnelle pour collecter des données cliniques, non cliniques et de performance provenant des deux récepteurs (110) et de l'émetteur (120) ; un moyeu (114a, 114b) pour transmettre les données obtenues à partir des nacelles de capteur (112a, 112b) ; un serveur (130) avec un algorithme et un moteur de recommandation pour recevoir les données obtenues à travers le moyeu (120) et fournir le retour d'informations personnalisé automatique (116a, 116b) ; un appareil électromécanique portable (140a, 140b) pour effectuer les mouvements physiques sur la base du retour d'informations personnalisé (150) ; un dispositif électronique portable (118a, 118b) pour surveiller l'avancement du récepteur (110) à distance par l'émetteur (120).
PCT/IN2020/050757 2019-08-29 2020-08-31 Système et procédé pour fournir des interventions cliniques et physiques à l'aide d'un appareil électromécanique WO2021038599A1 (fr)

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9028407B1 (en) * 2013-12-13 2015-05-12 Safer Care LLC Methods and apparatus for monitoring patient conditions
US9798860B1 (en) * 2013-05-16 2017-10-24 Carepredict, Inc. Methods and systems for remotely determining levels of healthcare interventions

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9798860B1 (en) * 2013-05-16 2017-10-24 Carepredict, Inc. Methods and systems for remotely determining levels of healthcare interventions
US9028407B1 (en) * 2013-12-13 2015-05-12 Safer Care LLC Methods and apparatus for monitoring patient conditions

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