US20180360349A9 - Intelligent system for multi-function electronic caregiving to facilitate advanced health diagnosis, health monitoring, fall and injury prediction, health maintenance and support, and emergency response - Google Patents

Intelligent system for multi-function electronic caregiving to facilitate advanced health diagnosis, health monitoring, fall and injury prediction, health maintenance and support, and emergency response Download PDF

Info

Publication number
US20180360349A9
US20180360349A9 US15/530,185 US201615530185A US2018360349A9 US 20180360349 A9 US20180360349 A9 US 20180360349A9 US 201615530185 A US201615530185 A US 201615530185A US 2018360349 A9 US2018360349 A9 US 2018360349A9
Authority
US
United States
Prior art keywords
health
monitoring
orb
devices
fall
Prior art date
Legal status (The legal status 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 status listed.)
Granted
Application number
US15/530,185
Other versions
US20180160942A1 (en
US10813572B2 (en
Inventor
Anthony Dohrmann
Robert Wood
David W. Keeley
Jennifer M. Fabre
Phillip De Leon
Jeff Drake
Bryan J. Chasko
Robert Salcido
Korrey Jacobs
William Norris
Isaac Davalos
James Mitchell
Toby Cohantz
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Electronic Caregiver Inc
Original Assignee
Sameday Security 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
Priority to US15/530,185 priority Critical patent/US10813572B2/en
Application filed by Sameday Security Inc filed Critical Sameday Security Inc
Assigned to SameDay Security, Inc. reassignment SameDay Security, Inc. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: SALCIDO, ROBERT, CHASKO, BRYAN J., COHANTZ, TOBY, DAVALOS, ISAAC, DE LEON, PHILLIP, DOHRMANN, ANTHONY, DRAKE, JEFF, FABRE, JENNIFER M., JACOBS, KORREY, KEELEY, DAVID W., MITCHELL, JAMES, NORRIS, WILLIAM, WOOD, ROBERT
Publication of US20180160942A1 publication Critical patent/US20180160942A1/en
Publication of US20180360349A9 publication Critical patent/US20180360349A9/en
Assigned to ELECTRONIC CAREGIVER, INC. reassignment ELECTRONIC CAREGIVER, INC. CHANGE OF NAME (SEE DOCUMENT FOR DETAILS). Assignors: SameDay Security, Inc.
Priority to US17/013,357 priority patent/US20210007631A1/en
Publication of US10813572B2 publication Critical patent/US10813572B2/en
Application granted granted Critical
Priority to US17/844,619 priority patent/US20220319696A1/en
Priority to US17/844,618 priority patent/US20220319714A1/en
Priority to US17/844,614 priority patent/US20220319713A1/en
Active legal-status Critical Current
Adjusted expiration legal-status Critical

Links

Images

Classifications

    • 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
    • A61B5/1116Determining posture transitions
    • A61B5/1117Fall detection
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0004Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
    • A61B5/0013Medical image data
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0059Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0077Devices for viewing the surface of the body, e.g. camera, magnifying lens
    • 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
    • A61B5/1036Measuring load distribution, e.g. podologic studies
    • 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
    • A61B5/1126Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique
    • A61B5/1127Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique using markers
    • 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
    • A61B5/1126Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique
    • A61B5/1128Measuring 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
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/117Identification of persons
    • A61B5/1171Identification of persons based on the shapes or appearances of their bodies or parts thereof
    • A61B5/1176Recognition of faces
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4833Assessment of subject's compliance to treatment
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4866Evaluating metabolism
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271Specific aspects of physiological measurement analysis
    • A61B5/7275Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/746Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/7475User input or interface means, e.g. keyboard, pointing device, joystick
    • A61B5/749Voice-controlled interfaces
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • 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
    • A61B5/02055Simultaneously evaluating both cardiovascular condition and temperature

Definitions

  • This invention relates to a system of automated electronic caregiving assistance and health monitoring.
  • PERS personal emergency response systems
  • Other PERS have been developed that include connections with external systems, such as a central monitoring center.
  • These types of PERS do not include robust methods of communication, the capability to scale with the addition of new subsystems, advanced methods of sensing or detection, comprehensive analytical capability, or clinically useful feedback.
  • an object of the present invention to provide for more effective monitoring of key indicators that will allow more reliable early warning to reduce loss of life, medical complications, pain, suffering, loss of independence, and medical costs.
  • This invention aims to supplement and/or replace live caregivers and nurses by substantially improving and expanding continual oversight and quality of care, resulting in promotion of early intervention and expedited response during emergencies, and to assess and evaluate methods of care and their impact on patient improvement, stability, or decline.
  • the invention will improve access to knowledge and care for both care providers and end-users of the invention.
  • FIG. 1 is a flow chart showing the process necessary to create risk scores for new devices utilizing a golden standard of established methodology.
  • FIG. 2 is a flow chart showing the process for properly handling information from a variety of sensing devices across a variety of platforms via the Electronic Caregiver Optimum Recognition Blueprint.
  • FIGS. 3A-3D illustrate the tracking of head movement during a fall as captured from a depth camera.
  • FIGS. 4A-4C are drawings of a pill box that dispenses appropriate amounts of medications at prescribed times, featuring a camera that sends data to the Electronic Caregiver Optimum Recognition Blueprint for visual analytics.
  • This version includes a tablet for visual display of the Electronic Caregiver Image.
  • FIG. 5 is a test demonstration of functioning actions connected via Lambda functions to a personal assistant service, activated via voice prompt. These buttons are unseen by the end user of the system but utilized to connect the Electronic Caregiver Image to the Electronic Caregiver Optimum Recognition Blueprint and personal assistant services.
  • FIG. 6 An illustration of one embodiment of the present invention, where an Electronic Caregiver Image named Addison appears on a tablet below a depth camera inside a home, ready to monitor the well-being of the end-user and communicate with them.
  • Addison an Electronic Caregiver Image named Addison appears on a tablet below a depth camera inside a home, ready to monitor the well-being of the end-user and communicate with them.
  • FIG. 7 An illustration of one embodiment of the present invention, where an Electronic Caregiver Image named Addison speaks to an end-user regarding the status of user's medication compliance schedule.
  • the present invention has been developed in response to the contemporary state of health monitoring. Problems and needs requiring health monitoring have not yet been fully solved by currently available PERS.
  • the present invention is intended to provide a comprehensive method of electronic caregiving support, health oversight and emergency response. The benefits to families and individuals seeking these protections are amplified for those who are at high risk, chronically ill, physically impaired, mentally impaired, or rehabilitating end users.
  • the present invention includes a front end Electronic Caregiver system of sensing devices and user interaction, and a back end Electronic Caregiver system providing an automated process to navigate responses to situations on the front end system.
  • the Electronic Caregiver may interface with portable devices such as a tablet, a wearable device, or a mobile phone, all of which may be equipped with accelerometers, gyroscopic or movement sensors, or microprocessors.
  • Software applications on the portable devices will maximize the capability of the Electronic Caregiver back end system and be capable of displaying updated information received from such back-end system as well as initiating other algorithms, programs and processes.
  • a network of devices transmit information relating to an individual's physics, gait, activity, inactivity, metal behavior, and health activities to the Electronic Caregiver system.
  • These devices may include biomechanical detection sensors, wearable “accelerometers, gyroscopic. sensors, tilt sensors, visual analytical !T1onitoring devices, wireless ubiquitous monitoring devices, under foot pressure sensors, all of which will provide the back end of the Electronic Caregiver system data that can be assigned a biomechanical meaning.
  • the front end of the Electronic Caregiver system will then communicate notifications and other feed back to the end user or external parties such as central monitoring stations, health providers, and/or family members.
  • the back end of the Electronic Caregiver is the Optimum Recognition Blueprint (”ORB′′) depicted as item 1 in FIG. 2 .
  • the ORB is a mapped structure of models, objects, scripts, connections, and programs which manage users, devices, and data.
  • the ORB may include connections which add mapping of additional objects and data obtained from responders or assessment parties such as monitoring services, customer services, health services, and insurance, as depicted in FIG. 2 , item 7 .
  • Data received by the ORB from the Electronic Caregiver front end, including software applications running on portable devices ( FIG. 2 , item 8 ) is mapped to the appropriate data location and is responded to, compared, interpreted, analyzed, shared, or stored based upon the model of behaviors. ( FIG. 2 , item 17 ),
  • the data extracted from visual detection and other motion based devices are interpreted by the ORB.
  • the ORB determines the appropriate method for processing the data received from the device and determines the customer identification data specific to that device ( FIG. 2 , item 11 ). For example, the ORB can determine whether the data is received from a sensor such as an accelerometer ( FIG. 2 , item 13 ), a newly connected depth camera ( FIG. 2 , item 11 ) or simply device data such as low battery life on a mobile phone. In the event the ORB detects low battery life, it can issue a warning to the user and communicate with other responsible parties to alert them that the connection with the Electronic Caregiver will be lost unless the device is charged. ( FIG. 2 , item 15 ).
  • the ORB can initiate an emergency call to action ( FIG. 2 , item 2 ) which includes communicating to a monitoring central station ( FIG. 2 , item 7 ) the necessary information to dispatch emergency services.
  • the ORB can initiate technical support calls as well. ( FIG. 2 , item 5 ). These types of action include equipment trouble signals. ( FIG. 2 , item 3 ).
  • the ORB can initiate a message to immediate users on location with the front end of the system ( FIG. 2 , item 4 ) and to external parties ( FIG. 2 , item 7 ) to provide diagnosis and warning of patterns of pain, distress, injury, incapacitation, inactivity, impaired activity, mortality, medical emergency, increased or decreased risk of fall, improving health related behavioral patterns, and other wellness/treatment plans.
  • the present invention may include visual recognition hardware such as video cameras, depth cameras, infrared cameras, thermal cameras, proximity detectors, motion capture devices ( FIG. 2 , item 10 ).
  • visual recognition hardware such as video cameras, depth cameras, infrared cameras, thermal cameras, proximity detectors, motion capture devices ( FIG. 2 , item 10 ).
  • the visual recognition firmware is systematically integrated upon ORB objects containing the unique models of the present invention ( FIG. 2 , item 15 ) that utilize the Electronic Caregiver's algorithms to detect and identify physical characteristics that may indicate various musculoskeletal, cardiac, and neurological events or patterns of gait or movement.
  • Methodology is also capable of utilizing data from visual recognition devices to detect environmental hazards including stoves, ovens, and appliances reaching unsafe temperatures or left on unattended, laundry room and kitchen fires, and unsafe ambient temperatures. Certain data identified and processed can be communicated to end users, health service providers, live caregivers, and industrial or scientific parties.
  • Depth cameras provide the ORB with two data sets, one that is based upon movement markers assigned to the head, spine, and joint locations, and a second data set that is based upon volume. This data is then processed through the Electronic Caregiver to assign meaning.
  • the ORB can create alerts when an accidental fall occurs.
  • Data observed through a depth camera with accidental falls are two dimensional observations of rapid acceleration in movement markers followed by rapid deceleration, which can be coupled with rapid change in direction. ( FIGS. 3A-3D ).
  • Depth camera data provides a third method of accidental fall verification by looking for volume in the area of the observed fall over time.
  • the ORB is connected to portable or wearable devices such as bluetooth emitting beacon, mobile phones, wearable video recorders, wearable fitness and activity devices, and other health related devices, and my use wired or wireless pathways of communication between it and the devices. ( FIG. 2 , item 8 ).
  • portable or wearable devices such as bluetooth emitting beacon, mobile phones, wearable video recorders, wearable fitness and activity devices, and other health related devices, and my use wired or wireless pathways of communication between it and the devices.
  • ORB objects contain models to process and present and Electronic Caregiver Image (“ECI”).
  • ECI utilizes ORB objects containing processing capabilities of a personal assistant including the capability to leverage and integrate with third party personal assistant systems.
  • the ECI appears as an animated figure emulating a live action caregiver, and is presented on tablets with cameras that provide visual recognition described above while running firmware connected to Electronic Caregiver back end systems.
  • the ECI also appears on media or video screens, or devices containing presentation capability, such as mobile phones, wearable devices, and existing television or computer monitors.
  • the ECI may appear in strictly auditory format in applications where this is found to better meet user or platform needs.
  • the ECI may provide dietary or medication reminders, appointment reminders, and may act as a sincere, caring or humorous companion.
  • the ECI can present companionship, and identify and display medications or health test equipment, and can engage in an exchange between device and end user that results in an experience that appears life like and intelligent.
  • the ECI relies upon the Electronic Caregiver ORB system and algorithms, and may learn end user behaviors, likes and dislikes, resulting in modified preprogrammed behaviors and a more pleasing interactive experience.
  • the ECI interface and algorithms may receive input from 2-way audio and/or visual devices.
  • visual or audio devices detect a need for intervention
  • the ECI can respond to verbal and physical cues from the end user and may respond accordingly, including initiating a video, audio or other method of dialog between the end user and an external party.
  • ECI features, security and permissions are established using a simple applications based user interface.
  • Electronic Caregiver ORB systems are connected to visual or audio recognition devices, or heat and fluid sensors, and can detect and signal the Electronic Caregiver front end and the ORB in response to running water, fire, temperature, status of appliances, and may also detect movement and the opening of windows and doors. Detection of the above mentioned conditions may result in communications initiated to the end user or third parties.
  • the ORB is connected through the Electronic Caregiver front end to devices such as visual or audio recognition devices, or pressure or sensors that can detect the opening or closing of containers.
  • the sensing devices can monitor a medication organizer or dispenser and record usage, dosage, or may warn if the end user is attempting to access the wrong medication or dosage.
  • the Electronic Caregiver back end is connected through the Electronic Caregiver front end to devices such as mobile phones or portable/wearable activity or health monitoring devices, providing a Health Direct Link and integrated application.
  • the Electronic Caregiver algorithms and applications provide an easy to access one touch feature to access an immediate link to an external third party during a medical emergency, and geo-positioning monitoring may be activated to locate the end user.
  • This feature provides an option by mode selection of the application to initiate non-emergency connections to an external third party such as a health professional or emergency responder during a medical concern such as trouble breathing, trouble swallowing, head pain, abdominal pain or an escalation in these conditions.
  • the ECI will include a standard of care assessment module.
  • a wearable technology sensor or detector such as ground reaction sensing, medical peripherals which may include thermometer, blood pressure device, glucometer, pulse 02 sensor, weight scale, spirometer, glucometer, digital camera, laser, depth and thermal cameras, and at least one facial or body recognition interpretive device, verbal, audible and physical feedback systems, and a display monitor or projection.
  • the system will monitor and assess symptoms and indicators of improvement, stability or decline to physical or mental health status.
  • the system uses a combination of artificial caregiver projected or displayed imagery, and natural language engines, coupled with artificial intelligence software, machine learning and at least one of an in-home or on-body device to monitor and enable real time patient assessments, interventions and reports.
  • the system is used to supplement or replace a live physical caregiver to prompt, analyze and respond to both standard and proprietary symptomatic diagnostic formulas.
  • the system identifies and interprets health symptoms and status indicators such as hydration, bathroom usage and type, wake and sleep patterns, activity and inactivity characteristics and type, biomechanical and movement diagnostics, mood and mental state assessments, dietary and nutrition activity, vital readings and statistics, interrogatory responses and both standard and non-standard indicators necessary to monitor health performance, stability or decline.
  • Real time monitoring is uploaded into real time cloud diagnostic and assessment software to interpret required responses and interventions to recommend or implement methods of care, suggested improvements to standards of care, to identify non-working methods and standards of care, to compare and evaluate various standards of care, and to notify and report to specific or interdisciplinary parties that can engage to improve patient health and wellness outcomes.
  • System may also be programmed to advise and inform technology, pharmacology, device, software or physical care providers or parties of relevant data for the purposes of disclosing poor performance products, services or patient responses, as well as improvements, trends and recommendations to compel advanced innovation for patient care and service.
  • ORB initiates shipment of a pharmacogenetic saliva sample kit as soon as a Virtual Caregiver System (VCS), a tablet & depth camera combination system featuring the ECI, is placed on order.
  • VCS Virtual Caregiver System
  • the patient will be prompted by the ECI and shown instructions by the ECI on how to complete the swab and saliva sample and mail the kit to the lab.
  • the lab conducts the genetic screening and will electronically forward a report to the ORB to store the genetic profile information and results.
  • the ECI alerts the patient via home care alerts and tablets, and conducts the pharmacology consultation with the patient, making recommendations on updating their medications if necessary based on test results, and metabolic drug scoring. Replacement medications are then entered or scanned into the ORB using the localized ECI, and recognized by the software as a replacement drug, whereby the reminders and monitoring system is updated.
  • a report is available to print for primary care physician, pharmacist or related health specialist.
  • the ORB is connected through the Electronic Caregiver front end to devices such as mobile phones, computers or tablets, onto which is displayed a Comprehensive Falls Risk Screening Instrument (“CFRSI”), which includes proprietary algorithms to process user information inputs to produce a diagnostic output.
  • CFRSI uses a process to collect history information, range of motion data, and other key indicators to identify and publish a fall risk profile and assessed score and grading profile. This data is then referenced against other pertinent data collected from the end user's mobile phone, wearable device, or information collected from visual recognition devices or pressure sensing devices.
  • the ORB collects and stores data in cumulative storage locations. Machine learning algorithms are then incorporated to assess data received from all participating end users. All is compared and processed to output information to improve health awareness.

Abstract

A system for monitoring and detecting the gait and other health related parameters of a user. One such parameter is monitoring of medication compliance and treatment session attendance done by a medication and liquid dispensing apparatus, which combines mechanical dispensing of medication. These parameters are provided in standard of care summaries to care providers, and are continually reported by the Optimum Recognition Blueprint as Standard of Care Summaries to care providers, as well as communicated to the end-user by the Virtual Caregiver Interface.

Description

    PRIORITY
  • This application claims benefit of earlier filed provisional Ser. No. 621386,768, Date of Filing Dec. 11, 2015.
  • BACKGROUND OF THE INVENTION 1. Field of the Invention
  • This invention relates to a system of automated electronic caregiving assistance and health monitoring.
  • 2. Description of the Prior Art
  • In recent years, personal emergency response systems (“PERS”) have been developed which offer a single button, worn or the wrist, a belt or around the neck, which allows a user to summon help during an emergency. Other PERS have been developed that include connections with external systems, such as a central monitoring center. These types of PERS, however, do not include robust methods of communication, the capability to scale with the addition of new subsystems, advanced methods of sensing or detection, comprehensive analytical capability, or clinically useful feedback.
  • SUMMARY OF THE INVENTION
  • It is, therefore, an object of the present invention to provide for more effective monitoring of key indicators that will allow more reliable early warning to reduce loss of life, medical complications, pain, suffering, loss of independence, and medical costs. This invention aims to supplement and/or replace live caregivers and nurses by substantially improving and expanding continual oversight and quality of care, resulting in promotion of early intervention and expedited response during emergencies, and to assess and evaluate methods of care and their impact on patient improvement, stability, or decline. The invention will improve access to knowledge and care for both care providers and end-users of the invention. Other objects and advantages of the present invention will become apparent from the following detailed description when viewed in conjunction with the accompanying drawings, which set forth certain embodiments of the invention.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • FIG. 1 is a flow chart showing the process necessary to create risk scores for new devices utilizing a golden standard of established methodology.
  • FIG. 2 is a flow chart showing the process for properly handling information from a variety of sensing devices across a variety of platforms via the Electronic Caregiver Optimum Recognition Blueprint.
  • FIGS. 3A-3D illustrate the tracking of head movement during a fall as captured from a depth camera.
  • FIGS. 4A-4C are drawings of a pill box that dispenses appropriate amounts of medications at prescribed times, featuring a camera that sends data to the Electronic Caregiver Optimum Recognition Blueprint for visual analytics. This version includes a tablet for visual display of the Electronic Caregiver Image.
  • FIG. 5 is a test demonstration of functioning actions connected via Lambda functions to a personal assistant service, activated via voice prompt. These buttons are unseen by the end user of the system but utilized to connect the Electronic Caregiver Image to the Electronic Caregiver Optimum Recognition Blueprint and personal assistant services.
  • FIG. 6 An illustration of one embodiment of the present invention, where an Electronic Caregiver Image named Addison appears on a tablet below a depth camera inside a home, ready to monitor the well-being of the end-user and communicate with them.
  • FIG. 7 An illustration of one embodiment of the present invention, where an Electronic Caregiver Image named Addison speaks to an end-user regarding the status of user's medication compliance schedule.
  • DESCRIPTION OF THE PREFERRED EMBODIMENTS
  • The detailed embodiments of the present invention are disclosed herein. It should be understood, however, that the disclosed embodiments are merely exemplary of the invention, which may be embodied in various forms. Therefore, the details disclosed herein are not to be interpreted as limiting, but merely as the basis for the claims and as a basis for teaching one skilled in the art how to make and/or use the invention.
  • The present invention has been developed in response to the contemporary state of health monitoring. Problems and needs requiring health monitoring have not yet been fully solved by currently available PERS. The present invention is intended to provide a comprehensive method of electronic caregiving support, health oversight and emergency response. The benefits to families and individuals seeking these protections are amplified for those who are at high risk, chronically ill, physically impaired, mentally impaired, or rehabilitating end users.
  • The present invention includes a front end Electronic Caregiver system of sensing devices and user interaction, and a back end Electronic Caregiver system providing an automated process to navigate responses to situations on the front end system. The Electronic Caregiver may interface with portable devices such as a tablet, a wearable device, or a mobile phone, all of which may be equipped with accelerometers, gyroscopic or movement sensors, or microprocessors. Software applications on the portable devices will maximize the capability of the Electronic Caregiver back end system and be capable of displaying updated information received from such back-end system as well as initiating other algorithms, programs and processes.
  • For example, in a home safety and health monitoring system, a network of devices transmit information relating to an individual's physics, gait, activity, inactivity, metal behavior, and health activities to the Electronic Caregiver system. These devices may include biomechanical detection sensors, wearable “accelerometers, gyroscopic. sensors, tilt sensors, visual analytical !T1onitoring devices, wireless ubiquitous monitoring devices, under foot pressure sensors, all of which will provide the back end of the Electronic Caregiver system data that can be assigned a biomechanical meaning. The front end of the Electronic Caregiver system will then communicate notifications and other feed back to the end user or external parties such as central monitoring stations, health providers, and/or family members.
  • The back end of the Electronic Caregiver is the Optimum Recognition Blueprint (”ORB″) depicted as item 1 in FIG. 2. The ORB is a mapped structure of models, objects, scripts, connections, and programs which manage users, devices, and data. The ORB may include connections which add mapping of additional objects and data obtained from responders or assessment parties such as monitoring services, customer services, health services, and insurance, as depicted in FIG. 2, item 7. Data received by the ORB from the Electronic Caregiver front end, including software applications running on portable devices (FIG. 2, item 8) is mapped to the appropriate data location and is responded to, compared, interpreted, analyzed, shared, or stored based upon the model of behaviors. (FIG. 2, item 17),
  • The data extracted from visual detection and other motion based devices are interpreted by the ORB. The ORB determines the appropriate method for processing the data received from the device and determines the customer identification data specific to that device (FIG. 2, item 11). For example, the ORB can determine whether the data is received from a sensor such as an accelerometer (FIG. 2, item 13), a newly connected depth camera (FIG. 2, item 11) or simply device data such as low battery life on a mobile phone. In the event the ORB detects low battery life, it can issue a warning to the user and communicate with other responsible parties to alert them that the connection with the Electronic Caregiver will be lost unless the device is charged. (FIG. 2, item 15).
  • The ORB can initiate an emergency call to action (FIG. 2, item 2) which includes communicating to a monitoring central station (FIG. 2, item 7) the necessary information to dispatch emergency services. The ORB can initiate technical support calls as well. (FIG. 2, item 5). These types of action include equipment trouble signals. (FIG. 2, item 3). The ORB can initiate a message to immediate users on location with the front end of the system (FIG. 2, item 4) and to external parties (FIG. 2, item 7) to provide diagnosis and warning of patterns of pain, distress, injury, incapacitation, inactivity, impaired activity, mortality, medical emergency, increased or decreased risk of fall, improving health related behavioral patterns, and other wellness/treatment plans.
  • In one embodiment, the present invention may include visual recognition hardware such as video cameras, depth cameras, infrared cameras, thermal cameras, proximity detectors, motion capture devices (FIG. 2, item 10).
  • The visual recognition firmware is systematically integrated upon ORB objects containing the unique models of the present invention (FIG. 2, item 15) that utilize the Electronic Caregiver's algorithms to detect and identify physical characteristics that may indicate various musculoskeletal, cardiac, and neurological events or patterns of gait or movement. Methodology is also capable of utilizing data from visual recognition devices to detect environmental hazards including stoves, ovens, and appliances reaching unsafe temperatures or left on unattended, laundry room and kitchen fires, and unsafe ambient temperatures. Certain data identified and processed can be communicated to end users, health service providers, live caregivers, and industrial or scientific parties.
  • Depth cameras provide the ORB with two data sets, one that is based upon movement markers assigned to the head, spine, and joint locations, and a second data set that is based upon volume. This data is then processed through the Electronic Caregiver to assign meaning.
  • In addition to observing gait changes over time and creating alerts when markers are observed the ORB can create alerts when an accidental fall occurs. Data observed through a depth camera with accidental falls are two dimensional observations of rapid acceleration in movement markers followed by rapid deceleration, which can be coupled with rapid change in direction. (FIGS. 3A-3D). Depth camera data provides a third method of accidental fall verification by looking for volume in the area of the observed fall over time.
  • In another embodiment of the present invention, the ORB is connected to portable or wearable devices such as bluetooth emitting beacon, mobile phones, wearable video recorders, wearable fitness and activity devices, and other health related devices, and my use wired or wireless pathways of communication between it and the devices. (FIG. 2, item 8).
  • Using an installed Electronic Caregiver software application and associated ORB objects containing data processing models utilizing algorithms, a variety of alerts, signaling parameters, one way and two way communications can be programmed and initiated, including summoning response when patterns of activity become irregular or suspicious.
  • In another embodiment of the present invention, ORB objects contain models to process and present and Electronic Caregiver Image (“ECI”). The ECI utilizes ORB objects containing processing capabilities of a personal assistant including the capability to leverage and integrate with third party personal assistant systems. The ECI appears as an animated figure emulating a live action caregiver, and is presented on tablets with cameras that provide visual recognition described above while running firmware connected to Electronic Caregiver back end systems. The ECI also appears on media or video screens, or devices containing presentation capability, such as mobile phones, wearable devices, and existing television or computer monitors. The ECI may appear in strictly auditory format in applications where this is found to better meet user or platform needs.
  • The ECI may provide dietary or medication reminders, appointment reminders, and may act as a sincere, caring or humorous companion. The ECI can present companionship, and identify and display medications or health test equipment, and can engage in an exchange between device and end user that results in an experience that appears life like and intelligent. The ECI relies upon the Electronic Caregiver ORB system and algorithms, and may learn end user behaviors, likes and dislikes, resulting in modified preprogrammed behaviors and a more pleasing interactive experience.
  • The ECI interface and algorithms may receive input from 2-way audio and/or visual devices. When visual or audio devices detect a need for intervention, the ECI can respond to verbal and physical cues from the end user and may respond accordingly, including initiating a video, audio or other method of dialog between the end user and an external party. ECI features, security and permissions are established using a simple applications based user interface.
  • In another embodiment of the present invention Electronic Caregiver ORB systems are connected to visual or audio recognition devices, or heat and fluid sensors, and can detect and signal the Electronic Caregiver front end and the ORB in response to running water, fire, temperature, status of appliances, and may also detect movement and the opening of windows and doors. Detection of the above mentioned conditions may result in communications initiated to the end user or third parties.
  • In another embodiment of the present invention, the ORB is connected through the Electronic Caregiver front end to devices such as visual or audio recognition devices, or pressure or sensors that can detect the opening or closing of containers. Using the Electronic Caregiver algorithms, the sensing devices can monitor a medication organizer or dispenser and record usage, dosage, or may warn if the end user is attempting to access the wrong medication or dosage.
  • In another embodiment of the present invention, the Electronic Caregiver back end is connected through the Electronic Caregiver front end to devices such as mobile phones or portable/wearable activity or health monitoring devices, providing a Health Direct Link and integrated application. The Electronic Caregiver algorithms and applications provide an easy to access one touch feature to access an immediate link to an external third party during a medical emergency, and geo-positioning monitoring may be activated to locate the end user. This feature provides an option by mode selection of the application to initiate non-emergency connections to an external third party such as a health professional or emergency responder during a medical concern such as trouble breathing, trouble swallowing, head pain, abdominal pain or an escalation in these conditions.
  • The ECI will include a standard of care assessment module. Through an automated, integrated array of stationary and at least one of a wearable technology sensor or detector, such as ground reaction sensing, medical peripherals which may include thermometer, blood pressure device, glucometer, pulse 02 sensor, weight scale, spirometer, glucometer, digital camera, laser, depth and thermal cameras, and at least one facial or body recognition interpretive device, verbal, audible and physical feedback systems, and a display monitor or projection. The system will monitor and assess symptoms and indicators of improvement, stability or decline to physical or mental health status. The system uses a combination of artificial caregiver projected or displayed imagery, and natural language engines, coupled with artificial intelligence software, machine learning and at least one of an in-home or on-body device to monitor and enable real time patient assessments, interventions and reports. The system is used to supplement or replace a live physical caregiver to prompt, analyze and respond to both standard and proprietary symptomatic diagnostic formulas.
  • The system identifies and interprets health symptoms and status indicators such as hydration, bathroom usage and type, wake and sleep patterns, activity and inactivity characteristics and type, biomechanical and movement diagnostics, mood and mental state assessments, dietary and nutrition activity, vital readings and statistics, interrogatory responses and both standard and non-standard indicators necessary to monitor health performance, stability or decline. Real time monitoring is uploaded into real time cloud diagnostic and assessment software to interpret required responses and interventions to recommend or implement methods of care, suggested improvements to standards of care, to identify non-working methods and standards of care, to compare and evaluate various standards of care, and to notify and report to specific or interdisciplinary parties that can engage to improve patient health and wellness outcomes. System may also be programmed to advise and inform technology, pharmacology, device, software or physical care providers or parties of relevant data for the purposes of disclosing poor performance products, services or patient responses, as well as improvements, trends and recommendations to compel advanced innovation for patient care and service.
  • In one embodiment of the present invention, ORB initiates shipment of a pharmacogenetic saliva sample kit as soon as a Virtual Caregiver System (VCS), a tablet & depth camera combination system featuring the ECI, is placed on order. The patient will be prompted by the ECI and shown instructions by the ECI on how to complete the swab and saliva sample and mail the kit to the lab. The lab conducts the genetic screening and will electronically forward a report to the ORB to store the genetic profile information and results. The ECI alerts the patient via home care alerts and tablets, and conducts the pharmacology consultation with the patient, making recommendations on updating their medications if necessary based on test results, and metabolic drug scoring. Replacement medications are then entered or scanned into the ORB using the localized ECI, and recognized by the software as a replacement drug, whereby the reminders and monitoring system is updated. A report is available to print for primary care physician, pharmacist or related health specialist.
  • In another embodiment of the present invention, the ORB is connected through the Electronic Caregiver front end to devices such as mobile phones, computers or tablets, onto which is displayed a Comprehensive Falls Risk Screening Instrument (“CFRSI”), which includes proprietary algorithms to process user information inputs to produce a diagnostic output. THE CFRSI uses a process to collect history information, range of motion data, and other key indicators to identify and publish a fall risk profile and assessed score and grading profile. This data is then referenced against other pertinent data collected from the end user's mobile phone, wearable device, or information collected from visual recognition devices or pressure sensing devices.
  • In another embodiment, the ORB collects and stores data in cumulative storage locations. Machine learning algorithms are then incorporated to assess data received from all participating end users. All is compared and processed to output information to improve health awareness.
  • While the preferred embodiments have been shown and described, it will be understood that there is no intent to limit the invention by such disclosure, but rather, is intended to cover all modifications and alternate constructions falling within the spirit and scope of the invention as defined in the appended claims.

Claims (2)

1-23. (canceled)
24. A method for automatic fall detection and reporting comprising:
receiving from a depth camera a first data set of movement markers assigned to a head location, a spine location, and a joint location of a human;
receiving from the depth camera a second data set based upon volume;
detecting a rapid acceleration of the first data set of movement markers, followed by a rapid deceleration, including a rapid change in direction; and
sending a signal to a reporting device.
US15/530,185 2015-12-11 2016-12-09 Intelligent system for multi-function electronic caregiving to facilitate advanced health diagnosis, health monitoring, fall and injury prediction, health maintenance and support, and emergency response Active 2037-11-29 US10813572B2 (en)

Priority Applications (5)

Application Number Priority Date Filing Date Title
US15/530,185 US10813572B2 (en) 2015-12-11 2016-12-09 Intelligent system for multi-function electronic caregiving to facilitate advanced health diagnosis, health monitoring, fall and injury prediction, health maintenance and support, and emergency response
US17/013,357 US20210007631A1 (en) 2015-12-11 2020-09-04 Systems and methods for fall detection
US17/844,614 US20220319713A1 (en) 2015-12-11 2022-06-20 Atmospheric mirroring and dynamically varying three-dimensional assistant addison interface for interior environments
US17/844,618 US20220319714A1 (en) 2015-12-11 2022-06-20 Atmospheric mirroring and dynamically varying three-dimensional assistant addison interface for behavioral environments
US17/844,619 US20220319696A1 (en) 2015-12-11 2022-06-20 Atmospheric mirroring and dynamically varying three-dimensional assistant addison interface for external environments

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201562386768P 2015-12-11 2015-12-11
US15/530,185 US10813572B2 (en) 2015-12-11 2016-12-09 Intelligent system for multi-function electronic caregiving to facilitate advanced health diagnosis, health monitoring, fall and injury prediction, health maintenance and support, and emergency response

Related Child Applications (2)

Application Number Title Priority Date Filing Date
US17/013,357 Continuation-In-Part US20210007631A1 (en) 2015-12-11 2020-09-04 Systems and methods for fall detection
US17/013,357 Continuation US20210007631A1 (en) 2015-12-11 2020-09-04 Systems and methods for fall detection

Publications (3)

Publication Number Publication Date
US20180160942A1 US20180160942A1 (en) 2018-06-14
US20180360349A9 true US20180360349A9 (en) 2018-12-20
US10813572B2 US10813572B2 (en) 2020-10-27

Family

ID=62488152

Family Applications (2)

Application Number Title Priority Date Filing Date
US15/530,185 Active 2037-11-29 US10813572B2 (en) 2015-12-11 2016-12-09 Intelligent system for multi-function electronic caregiving to facilitate advanced health diagnosis, health monitoring, fall and injury prediction, health maintenance and support, and emergency response
US17/013,357 Pending US20210007631A1 (en) 2015-12-11 2020-09-04 Systems and methods for fall detection

Family Applications After (1)

Application Number Title Priority Date Filing Date
US17/013,357 Pending US20210007631A1 (en) 2015-12-11 2020-09-04 Systems and methods for fall detection

Country Status (1)

Country Link
US (2) US10813572B2 (en)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110292386A (en) * 2019-06-24 2019-10-01 中国地质大学(武汉) A kind of human body sitting posture detection system and method based on video information and piezoelectricity information
WO2020163180A1 (en) * 2019-02-05 2020-08-13 Electronic Caregiver, Inc. 3d environment risks identification utilizing reinforced learning
US11113943B2 (en) 2019-05-07 2021-09-07 Electronic Caregiver, Inc. Systems and methods for predictive environmental fall risk identification
US11213224B2 (en) 2018-03-19 2022-01-04 Electronic Caregiver, Inc. Consumer application for mobile assessment of functional capacity and falls risk
US11253173B1 (en) * 2017-05-30 2022-02-22 Verily Life Sciences Llc Digital characterization of movement to detect and monitor disorders
US11488724B2 (en) 2018-06-18 2022-11-01 Electronic Caregiver, Inc. Systems and methods for a virtual, intelligent and customizable personal medical assistant
US11806130B2 (en) 2019-12-18 2023-11-07 Koninklijke Philips N.V. Predicting the probability of a brain injury of a subject resulting from a fall
US11923058B2 (en) 2018-04-10 2024-03-05 Electronic Caregiver, Inc. Mobile system for the assessment of consumer medication compliance and provision of mobile caregiving

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11153156B2 (en) * 2017-11-03 2021-10-19 Vignet Incorporated Achieving personalized outcomes with digital therapeutic applications
CN110868531B (en) * 2018-08-28 2021-07-02 杭州海康机器人技术有限公司 Method and device for sending trigger signal
CN109686051A (en) * 2018-12-18 2019-04-26 广东工业大学 A kind of determination method, device, equipment and the medium of target object tumble behavior
CN110362829B (en) * 2019-07-16 2023-01-03 北京百度网讯科技有限公司 Quality evaluation method, device and equipment for structured medical record data

Family Cites Families (58)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6665647B1 (en) 1997-11-24 2003-12-16 Chris A. Haudenschild Enterprise healthcare management system and method of using same
US20020062342A1 (en) 2000-11-22 2002-05-23 Sidles Charles S. Method and system for completing forms on wide area networks such as the internet
DK1360567T3 (en) 2001-02-16 2005-10-10 United Parcel Service Inc System and approach for selectively enabling and disabling access to software applications over a network
US7242306B2 (en) * 2001-05-08 2007-07-10 Hill-Rom Services, Inc. Article locating and tracking apparatus and method
US8108488B2 (en) 2002-11-18 2012-01-31 Jackbe Corporation System and method for reducing bandwidth requirements for remote applications by utilizing client processing power
JP2004264060A (en) 2003-02-14 2004-09-24 Akebono Brake Ind Co Ltd Error correction method in attitude detector, and action measuring instrument using the same
US20070238936A1 (en) 2006-04-10 2007-10-11 Shirley Ann Becker Portable Electronic Medical Assistant
US7558622B2 (en) 2006-05-24 2009-07-07 Bao Tran Mesh network stroke monitoring appliance
US7612681B2 (en) 2007-02-06 2009-11-03 General Electric Company System and method for predicting fall risk for a resident
US20090094285A1 (en) 2007-10-03 2009-04-09 Mackle Edward G Recommendation apparatus
US8206325B1 (en) 2007-10-12 2012-06-26 Biosensics, L.L.C. Ambulatory system for measuring and monitoring physical activity and risk of falling and for automatic fall detection
US20110126197A1 (en) * 2009-11-25 2011-05-26 Novell, Inc. System and method for controlling cloud and virtualized data centers in an intelligent workload management system
US20130204545A1 (en) 2009-12-17 2013-08-08 James C. Solinsky Systems and methods for sensing balanced-action for improving mammal work-track efficiency
US8427324B2 (en) * 2010-07-30 2013-04-23 General Electric Company Method and system for detecting a fallen person using a range imaging device
US9785744B2 (en) 2010-09-14 2017-10-10 General Electric Company System and method for protocol adherence
US9934427B2 (en) * 2010-09-23 2018-04-03 Stryker Corporation Video monitoring system
WO2012040554A2 (en) * 2010-09-23 2012-03-29 Stryker Corporation Video monitoring system
US8730297B2 (en) 2010-11-15 2014-05-20 Cisco Technology, Inc. System and method for providing camera functions in a video environment
US8827930B2 (en) * 2011-01-10 2014-09-09 Bioguidance Llc System and method for patient monitoring
CA2770933C (en) * 2011-03-11 2021-05-25 Intellacare Inc. A method and system for monitoring the activity of a subject within spatial temporal and/or behavioral parameters
US20130127620A1 (en) * 2011-06-20 2013-05-23 Cerner Innovation, Inc. Management of patient fall risk
US9355393B2 (en) 2011-08-18 2016-05-31 Visa International Service Association Multi-directional wallet connector apparatuses, methods and systems
EA201691317A1 (en) 2011-07-08 2016-10-31 Лайфкью Глоубл Лимитед A PORTABLE DEVICE AND METHOD FOR ANALYSIS OF THE COMPOSITION OF INHALED AND EXHAUSTED AIR INSURANCE
US8771206B2 (en) * 2011-08-19 2014-07-08 Accenture Global Services Limited Interactive virtual care
WO2013058985A1 (en) * 2011-10-17 2013-04-25 Kimmel Zebadiah M Method and apparatus for detecting deterioration of health status
WO2013071285A1 (en) 2011-11-11 2013-05-16 Rutgers, The State University Of New Jersey Methods for the diagnosis and treatment of neurological disorders
EP2610724B1 (en) 2011-12-27 2022-01-05 Tata Consultancy Services Limited A system and method for online user assistance
US20130212501A1 (en) 2012-02-10 2013-08-15 Glen J. Anderson Perceptual computing with conversational agent
GB2500058B (en) * 2012-03-09 2014-04-02 Kari Hjelt A dynamically configurable balancing board
US9372252B2 (en) * 2012-03-21 2016-06-21 Secure Care Products, Llc Outdoor object location system and method thereof
US9408561B2 (en) * 2012-04-27 2016-08-09 The Curators Of The University Of Missouri Activity analysis, fall detection and risk assessment systems and methods
US9597016B2 (en) * 2012-04-27 2017-03-21 The Curators Of The University Of Missouri Activity analysis, fall detection and risk assessment systems and methods
US10265028B2 (en) 2012-08-16 2019-04-23 Ginger.io, Inc. Method and system for modeling behavior and heart disease state
US9536049B2 (en) 2012-09-07 2017-01-03 Next It Corporation Conversational virtual healthcare assistant
US9208676B2 (en) 2013-03-14 2015-12-08 Google Inc. Devices, methods, and associated information processing for security in a smart-sensored home
US20140171834A1 (en) 2012-10-20 2014-06-19 Elizabethtown College Electronic-Movement Analysis Tool for Motor Control Rehabilitation and Method of Using the Same
US10726461B2 (en) 2013-03-15 2020-07-28 Ncr Corporation System and method of completing an activity via an agent
US20140343460A1 (en) * 2013-05-15 2014-11-20 Ut-Battelle, Llc Mobile gait force and motion analysis system
US9591996B2 (en) 2013-06-07 2017-03-14 Lumo BodyTech, Inc System and method for detecting transitions between sitting and standing states
DE102013017264A1 (en) 2013-10-17 2015-04-23 Dräger Medical GmbH Method for monitoring a patient within a medical monitoring area
CA2963072A1 (en) 2013-10-29 2015-05-07 Milbat - Giving Quality To Life Walker-assist device
US10121062B2 (en) * 2014-11-03 2018-11-06 Koninklijke Philips N.V. Device, system and method for automated detection of orientation and/or location of a person
US10019553B2 (en) 2015-01-27 2018-07-10 Catholic Health Initiatives Systems and methods for virtually integrated care delivery
US11170626B2 (en) 2015-09-17 2021-11-09 Luvozo Pbc Automated environment hazard detection
US10768772B2 (en) * 2015-11-19 2020-09-08 Microsoft Technology Licensing, Llc Context-aware recommendations of relevant presentation content displayed in mixed environments
US20190220727A1 (en) 2018-01-17 2019-07-18 SameDay Security, Inc. Computing Devices with Improved Interactive Animated Conversational Interface Systems
US10460024B2 (en) 2016-01-05 2019-10-29 Adobe Inc. Interactive electronic form workflow assistant that guides interactions with electronic forms in a conversational manner
US10692011B2 (en) 2016-01-21 2020-06-23 Verily Life Sciences Llc Adaptive model-based system to automatically quantify fall risk
US10795947B2 (en) 2016-05-17 2020-10-06 Google Llc Unified message search
EP3500224A4 (en) 2016-08-19 2020-03-25 Curiato Inc. System, method, and computer readable medium for dynamic pressure damage risk assessment and response
US10628635B1 (en) 2017-03-29 2020-04-21 Valyant AI, Inc. Artificially intelligent hologram
US10561549B2 (en) 2017-07-28 2020-02-18 Hill-Rom Services, Inc. Bed-based safety protocol control
US11032337B2 (en) 2017-10-16 2021-06-08 Vincent Paul Spinella-Mamo Contextual and collaborative media
US20190259475A1 (en) 2018-02-20 2019-08-22 SameDay Security, Inc. Connected Kiosk for the Real-Time Assessment of Falls Risk
US11213224B2 (en) 2018-03-19 2022-01-04 Electronic Caregiver, Inc. Consumer application for mobile assessment of functional capacity and falls risk
US11923058B2 (en) 2018-04-10 2024-03-05 Electronic Caregiver, Inc. Mobile system for the assessment of consumer medication compliance and provision of mobile caregiving
US11488724B2 (en) 2018-06-18 2022-11-01 Electronic Caregiver, Inc. Systems and methods for a virtual, intelligent and customizable personal medical assistant
SG11202107882TA (en) 2019-02-05 2021-08-30 Electronic Caregiver Inc 3d environment risks identification utilizing reinforced learning

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11253173B1 (en) * 2017-05-30 2022-02-22 Verily Life Sciences Llc Digital characterization of movement to detect and monitor disorders
US11213224B2 (en) 2018-03-19 2022-01-04 Electronic Caregiver, Inc. Consumer application for mobile assessment of functional capacity and falls risk
US11923058B2 (en) 2018-04-10 2024-03-05 Electronic Caregiver, Inc. Mobile system for the assessment of consumer medication compliance and provision of mobile caregiving
US11488724B2 (en) 2018-06-18 2022-11-01 Electronic Caregiver, Inc. Systems and methods for a virtual, intelligent and customizable personal medical assistant
WO2020163180A1 (en) * 2019-02-05 2020-08-13 Electronic Caregiver, Inc. 3d environment risks identification utilizing reinforced learning
AU2020218172B2 (en) * 2019-02-05 2023-01-12 Electronic Caregiver, Inc. 3D environment risks identification utilizing reinforced learning
US11791050B2 (en) 2019-02-05 2023-10-17 Electronic Caregiver, Inc. 3D environment risks identification utilizing reinforced learning
US11113943B2 (en) 2019-05-07 2021-09-07 Electronic Caregiver, Inc. Systems and methods for predictive environmental fall risk identification
CN110292386A (en) * 2019-06-24 2019-10-01 中国地质大学(武汉) A kind of human body sitting posture detection system and method based on video information and piezoelectricity information
US11806130B2 (en) 2019-12-18 2023-11-07 Koninklijke Philips N.V. Predicting the probability of a brain injury of a subject resulting from a fall

Also Published As

Publication number Publication date
US20180160942A1 (en) 2018-06-14
US20210007631A1 (en) 2021-01-14
US10813572B2 (en) 2020-10-27

Similar Documents

Publication Publication Date Title
US20210007631A1 (en) Systems and methods for fall detection
US20210151176A1 (en) Medication Adherence Device And Coordinated Care Platform
KR102207631B1 (en) Methods and systems for remotely determining levels of healthcare interventions
Chiarini et al. mHealth technologies for chronic diseases and elders: a systematic review
KR100813166B1 (en) Healthcare system and Method for providing healthcare service
US20190272725A1 (en) Pharmacovigilance systems and methods
US8731512B2 (en) System and method for effecting context-cognizant medical reminders for a patient
US20130150686A1 (en) Human Care Sentry System
CN113168893A (en) Platform-independent real-time medical data display system
WO2015143085A1 (en) Techniques for wellness monitoring and emergency alert messaging
Yared et al. Ambient technology to assist elderly people in indoor risks
US20200337794A1 (en) Remote Healthcare-Monitoring System With User Enabled Diagnostic Capabilities
WO2019070763A1 (en) Caregiver mediated machine learning training system
Bozomitu et al. A new integrated system for assistance in communicating with and telemonitoring severely disabled patients
Lee-Cheong et al. New assistive technologies in dementia and mild cognitive impairment care: A PubMed review
Ray et al. Tablet-based well-being check for the elderly: development and evaluation of usability and acceptability
Karunanithi et al. An innovative technology to support independent living: the smarter safer homes platform
Pistorius Developments in emerging digital health technologies
Bozan et al. Revisiting the technology challenges and proposing enhancements in ambient assisted living for the elderly
Ali et al. IoT-based technologies for addressing the unique healthcare needs of the elderly population
US20220225949A1 (en) Wearable device network system
Cook Sensors in support of aging-in-place: The good, the bad, and the opportunities
Avilés-López et al. Taking care of our elders through augmented spaces
Ariani et al. The development of cyber-physical system in health care industry
Choukou et al. Smart home technologies and services for geriatric rehabilitation

Legal Events

Date Code Title Description
AS Assignment

Owner name: SAMEDAY SECURITY, INC., NEW MEXICO

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:DOHRMANN, ANTHONY;WOOD, ROBERT;KEELEY, DAVID W.;AND OTHERS;SIGNING DATES FROM 20170420 TO 20170426;REEL/FRAME:042178/0671

STPP Information on status: patent application and granting procedure in general

Free format text: DOCKETED NEW CASE - READY FOR EXAMINATION

FEPP Fee payment procedure

Free format text: PETITION RELATED TO MAINTENANCE FEES GRANTED (ORIGINAL EVENT CODE: PTGR); ENTITY STATUS OF PATENT OWNER: SMALL ENTITY

STPP Information on status: patent application and granting procedure in general

Free format text: NON FINAL ACTION MAILED

STPP Information on status: patent application and granting procedure in general

Free format text: RESPONSE TO NON-FINAL OFFICE ACTION ENTERED AND FORWARDED TO EXAMINER

STPP Information on status: patent application and granting procedure in general

Free format text: NON FINAL ACTION MAILED

AS Assignment

Owner name: ELECTRONIC CAREGIVER, INC., NEW MEXICO

Free format text: CHANGE OF NAME;ASSIGNOR:SAMEDAY SECURITY, INC.;REEL/FRAME:049758/0211

Effective date: 20190225

STPP Information on status: patent application and granting procedure in general

Free format text: RESPONSE TO NON-FINAL OFFICE ACTION ENTERED AND FORWARDED TO EXAMINER

STPP Information on status: patent application and granting procedure in general

Free format text: FINAL REJECTION MAILED

STPP Information on status: patent application and granting procedure in general

Free format text: ADVISORY ACTION MAILED

STPP Information on status: patent application and granting procedure in general

Free format text: NOTICE OF ALLOWANCE MAILED -- APPLICATION RECEIVED IN OFFICE OF PUBLICATIONS

STPP Information on status: patent application and granting procedure in general

Free format text: AWAITING TC RESP, ISSUE FEE PAYMENT VERIFIED

STCF Information on status: patent grant

Free format text: PATENTED CASE

FEPP Fee payment procedure

Free format text: PETITION RELATED TO MAINTENANCE FEES GRANTED (ORIGINAL EVENT CODE: PTGR); ENTITY STATUS OF PATENT OWNER: SMALL ENTITY

CC Certificate of correction
MAFP Maintenance fee payment

Free format text: PAYMENT OF MAINTENANCE FEE, 4TH YR, SMALL ENTITY (ORIGINAL EVENT CODE: M2551); ENTITY STATUS OF PATENT OWNER: SMALL ENTITY

Year of fee payment: 4