Abstract: A method for managing movement includes determining a current location of a subject in a monitoring area, comparing the current location to a risk area location in the monitoring area, determining a likelihood of injury based on a result of the comparison, and generating control information based on the likelihood of injury to the subject. The control information may control activation of a haptic effect in a device worn or carried by the subject. The haptic effect may correspond to at least one stimulus that notifies the subject of the potential risk area.

Abstract: An embodiment provides objective measures or indications to facilitate evaluation of readiness and successful progress or completion of spontaneous breathing and awakening trials (SATs/SABs) in intensive care settings. One example includes obtaining a patient state indicating that the patient is associated with a SAT or SBT protocol. Imagery of the patient for the protocol is obtained and evaluated to classify the imagery as indicative of an observation item associated with the protocol. An indication based on the evaluating is provided, for example to a clinical decision support system.

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: A parallel recursive neural network, including: a memory configured to store data and processing instructions; and a parallel computer processor configured to: receive a set of input values; apply a recursive layer function individually on each of the set of input values in parallel to produce a set of hidden states; apply a reduction function on pairs of adjacent hidden states in the set of hidden states in parallel to produce a new set of hidden states; and repeat applying the reduction function of pairs of adjacent states in the new set of hidden states in parallel until a single output hidden state results.

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: A method of detecting decline in activities of daily living (ADLs) over time, the method including gathering a plurality of image data of a subject over a period of time, preprocessing the image data to obtain a plurality of standardized images, segmenting out a feature from each of the image data, providing the segmented features to a trained model to identify possible changes in the features over time, classifying the possible changes as evidence, and using the evidence to calculate a risk score.

Abstract: A method for managing movement includes determining a current location of a subject in a monitoring area, comparing the current location to a risk area location in the monitoring area, determining a likelihood of injury based on a result of the comparison, and generating control information based on the likelihood of injury to the subject. The control information may control activation of a haptic effect in a device worn or carried by the subject. The haptic effect may correspond to at least one stimulus that notifies the subject of the potential risk area.

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 parallel recursive neural network, including: a memory configured to store data and processing instructions; and a parallel computer processor configured to: receive a set of input values; apply a recursive layer function individually on each of the set of input values in parallel to produce a set of hidden states; apply a reduction function on pairs of adjacent hidden states in the set of hidden states in parallel to produce a new set of hidden states; and repeat applying the reduction function of pairs of adjacent states in the new set of hidden states in parallel until a single output hidden state results.

Abstract: Various embodiments relate to a method and system for method for automated, multimodal summarization of a medical visit in a controlled medical environment, the method including the steps of capturing, by an audiovisual monitoring module and a plurality of medical devices, a data stream of the medical visit in the controlled medical environment, collecting, by the audiovisual monitoring module, a request for a telemedicine consultation, performing, by a summarization service module, a summary extraction to select portions of the data stream, generating, by the summarization service module, an audiovisual summary and transmitting, by the summarization service module, the audiovisual summary to a telemedicine provider.

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: In an embodiment, a computer-implemented method, comprising: receiving contextual information for a user; updating a user state based on the received contextual information; providing electronic interventions to the user over a first interval by executing a first intervention algorithm based on the updated user state; and providing electronic interventions to the user over a second interval based on executing a second intervention algorithm that maximizes a reward function based on a further updated user state of the user and the electronic interventions of the first interval, the second intervention algorithm of a different type than the first intervention algorithm.