Abstract: According to an aspect, there is provided a grip measurement system (300) comprising a door handle (100') comprising a first sensor (108) configured to measure a first parameter indicative of an amount of a part of a user’s hand in contact with the first sensor; a storage device (304); and a processor (302) configured to estimate, based on the measured first parameter, a force applied onto the first sensor by the part of the user’s hand; and store an indication of the estimated force in the storage device.

Abstract: The present disclosure pertains to a system configured to predict a lucidity level of a subject.

Abstract: The present system is configured to track informal observations by multiple caregivers about a care recipient and provide actionable feedback to the multiple caregivers for managing health of the care recipient based on informal observations. Informal caregivers are constantly observing the health and/or wellness of care recipients they provide care for. Within families for example, multiple informal caregivers coordinate the care they provide for a care recipient amongst each other to balance the workload. These caregivers observe the same care recipient often on different occasions, from different perspectives, and with varying levels of subjectivity. Keeping an eye out for abnormal behavior by the care recipient, changes in capabilities of the care recipient, and/or potential disease progression, for example, are pieces of data caregivers commonly observe in an informal, rarely structured way.

Abstract: Various embodiments relate to a method and system for automatically generating a medical document during a medical visit in a controlled environment, the method including the steps of monitoring, by a network monitoring module, a network to capture use of medical equipment connected to the network, detecting, by an atomic action video recognition module, predefined atomic actions in the controlled environment, extracting, by a patient-medical provider conversation recognition module, clinical information from a conversation between a patient and a medical provider, matching, by a visit graph generation module, the use of medical equipment and the predefined atomic actions to an atomic actions and CPT codes database of known uses of medical equipment and predefined atomic actions, generating, by the visit graph generation module, an event graph based on the use of medical equipment, the predefined atomic actions and the extracted clinical information and translating, by a medical document generator, the event

Abstract: The present system is configured to track informal observations by multiple caregivers about a care recipient and provide actionable feedback to the multiple caregivers for managing health of the care recipient based on the informal observations. Informal caregivers are constantly observing the health and/or wellness of care recipients they provide care for. Within families for example, multiple informal caregivers coordinate the care they provide for a care recipient amongst each other to balance the workload. These caregivers observe the same care recipient often on different occasions, from different perspectives, and with varying levels of subjectivity. Keeping an eye out for abnormal behavior by the care recipient, changes in capabilities of the care recipient, and/or potential disease progression, for example, are pieces of data caregivers commonly observe in an informal, rarely structured way.

Abstract: A strength assessment generator includes at least one sensor configured to detect movement data and a processor configured to generate a strength assessment based on the movement data detected by the at least one sensor. The at least one sensor is coupled to a body part of a person, and the movement data corresponds to movement of the body part when an object is moved by the body part.

Abstract: Various embodiments relate to a system for activities of daily living (“ADL”) and instrumental activities of daily living (“IADL”) monitoring through electric current profile sensing, the system including an electric current profile sensing module configured to sense electricity usage and capture a current profile of a plurality of devices in a home using a plurality of current clamps, a device usage detection module configured to match the current profile for each of the plurality of devices to a referenced profile for each of the plurality of devices to determine a detected usage for each of the plurality of devices and an ADL and IADL module configured to translate the detected usage for each of the plurality of devices into ADLs and IADLs; wherein the ADL and IADL detection module determines whether a detected usage is a hazardous situation based on ADLs and IADLs.

Abstract: Techniques herein relate to personalized assistance for subjects with impairment(s). In various embodiments, a subject's state may be determined (402) from various signal(s). Based on the subject's state, a first computing device may be selected (404) from one or more computing devices available to the subject. Based on the subject's state and a policy associated with the subject, task(s) may be determined (406) that are performable by the subject with the aid of the first computing device. Task-selection input from the subject may be received (408) via the first computing device to initiate a triggered task. Task-engagement input may be received (412) via the first computing device from the subject that indicate completion of step(s) of the triggered task. The policy may be updated (414), e.g., using reinforcement learning, based on attribute(s) of the task-engagement inputs.

Abstract: A method (100) for providing a (210) report about an individual (210) comprising the steps of: (i) providing (110) a report generation system (200) comprising a processor (252); (ii) receiving (120), by the processor, a command to generate a report comprising demographic information, medical/health information, and/or contextual information, where the contextual information comprises information, other than medical information, impacting the health or care of the individual; (iii) collecting (130), by the processor, medical information about the individual; (iv) collecting (140), by the processor, contextual information; (v) generating (150), by the processor, a report with the demographic information, medical/health information, and/or the contextual information; and (vi) communicating (160) the generated report to the individual or an intended recipient (280).

Abstract: Various embodiments described herein relate to a method, system, and non-transitory machine-readable storage medium for determining an opportune time for user interaction including one or more of the following: the method comprising: receiving a request from a client application for an indication of whether a user is open to participate in a user interaction; obtaining usage information regarding the user's recent activity on a user device; applying at least one trained predictive model to the usage information to identify the user's current contextual state, wherein the current contextual state includes at least one of: an availability measure representative of the user's current ability to perform a physical action associated with the user interaction, and a receptiveness measure representative of the user's current ability to pay attention to the user interaction; determining an opportunity indication based on the user's contextual state; and providing the opportunity indication to the client application.

Abstract: The present system is configured to track informal observations by multiple caregivers about a care recipient and provide actionable feedback to the multiple caregivers for managing health of the care recipient based on the informal observations. Informal caregivers are constantly observing the health and/or wellness of care recipients they provide care for. Within families for example, multiple informal caregivers coordinate the care they provide for a care recipient amongst each other to balance the workload. These caregivers observe the same care recipient often on different occasions, from different perspectives, and with varying levels of subjectivity. Keeping an eye out for abnormal behavior by the care recipient, changes in capabilities of the care recipient, and/or potential disease progression, for example, are pieces of data caregivers commonly observe in an informal, rarely structured way.

Abstract: The present disclosure pertains to a system configured to predict a lucidity level of a subject.

Abstract: A system and method to provide a care-based activity recommendation engine are described. The system comprises electronic storage and physical computer processors. The electronic storage stores care recipient profile information for the care recipient including information related to care needs of the care recipient and caregiver profile information including schedule information, resource information, relationship information, or location information for individual caregivers. The processor(s) are in operative communication with the electronic storage and are configured to obtain activity tasks about the care recipient. The processor(s) determine likelihood metric values for the individual caregivers for given activity tasks indicating capacity and/or likelihood of a given caregiver to perform a given activity task.

Abstract: The described embodiments relate to computing devices capable of assessing handgrip strength, and using data collected during a handgrip strength assessment to assist a user or medical provider. The computing device can include an array of pressure sensitive elements to determine a force of pressure applied at different locations on the computing device. The pressure of the handgrip can be monitored for a time period in order to determine metrics such as average strength of the grip over time and decay in strength of the grip over time. Such metrics can be tracked over a multiple handgrip strength assessments in order to track how the metrics change over time. The computing device can communicate with electronic healthcare systems, such as electronic medical records, in order that hospitals and other medical providers can access and analyze the data in order to find clinical pathways to treat related medical conditions.

Abstract: Systems and methods for providing prompts to improve communication between users and building supportive relationships are based on sharing activity information that characterizes one or more activities involving a patient and/or a caregiver among the patient and the caregiver. Moreover, the system determines and presents prompts for interactions between the patient and the caregiver based on the activity information.

Abstract: A system and method for automatically quantifying mobility of a person performing a mobility diagnostic procedure. In one exemplary embodiment, the system measures a posture change test procedure with integrated inertial, location, and navigation type sensors found in a mobile computing device worn by a patient during the posture change test procedure, such as a timed-up-and-go (TUG) procedure. The measurements captured during the posture change inform a health care provider about the mobility of a patient. For example, a determination about the likelihood of the patient experiencing a fall can be assessed from measurable parameters produced from the inertial, location, and navigation-type sensors.

Abstract: A system and method for automatically quantifying mobility of a person performing a mobility diagnostic procedure. In one exemplary embodiment, the system measures a posture change test procedure with integrated inertial, location, and navigation type sensors found in a mobile computing device worn by a patient during the posture change test procedure, such as a timed-up-and-go (TUG) procedure. The measurements captured during the posture change inform a health care provider about the mobility of a patient. For example, a determination about the likelihood of the patient experiencing a fall can be assessed from measurable parameters produced from the inertial, location, and navigation-type sensors.