Abstract: A vehicular vision system includes an electronic control unit (ECU) disposed at a vehicle and including an image processor that processes image data captured by at least one camera of the vehicle. An under-trailer camera is disposed at an underside of a trailer hitched to the vehicle. The under-trailer camera has a field of view under the trailer that includes a ground surface under the trailer that is traveled over by the trailer. The under-trailer camera captures image data as the vehicle and trailer are moving. The ECU, responsive to processing of image data captured by the under-trailer camera, detects an object under the trailer and determines that the detected object under the trailer is greater than a threshold size. The ECU, responsive to determination that the detected object under the trailer is greater than the threshold size, generates an output.

Abstract: A surgical item managing method for use in a smart operating room to manage a surgical item used during a surgical procedure is provided. The surgical item includes a flexible RFID tag. The method includes the steps of: obtaining an information about a position of the flexible RFID tag; photographing a patient to obtain a position of the patient; determining if the position of the flexible RFID tag and the position of the patient overlap, to determine if the position of the flexible RFID tag is in the body of the patient; and giving a warning when the position of the flexible RFID tag is in the body of the patient.

Abstract: A dynamic wake-up alarm is provided-for, including a clock, a contactless biometric sensor, a processor, memory, and a speaker. The processor may be configured to receive a wake-up rule based on at least two wake-up criteria including a time from the clock and data from the biometric sensor, and evaluate whether the criteria are met to activate an alarm.

Abstract: A system for providing an alarm indicating a non-fastening state of a seatbelt of a vehicle is provided. The system includes a seatbelt part provided in a seat of the vehicle; a first controller connected in communication to the seatbelt part and configured to determine whether a buckle of the seatbelt part is fastened and a first sensor module connected to the first controller. The first sensor module includes a first transmitter configured to transmit a buckle fastening signal when the buckle is fastened. A second sensor module includes a first receiver that is configured to receive the buckle fastening signal from the first sensor module. A second controller is connected in communication to the second sensor module, and is configured to receive the buckle fastening signal and output an alarm indicating whether the seatbelt is fastened.

Abstract: Techniques for evaluating dynamically modified plans are provided. A selection of a treatment plan template is received, where the treatment plan template specifies a plurality of treatment stages, where each treatment stage defines a plurality of treatment options. A plurality of modifications to the treatment plan template is generated. It is determined, for each respective modification of the plurality of modifications, whether the respective modification is permissible, based on one or more predefined institutional criteria. Upon determining that a first modification of the plurality of modifications is permissible, a first treatment plan is generated based on the first modification to the treatment plan template. Further, a first predicted efficacy measure is generated for the first treatment plan based on analyzing a knowledge graph. Finally, the first treatment plan is provided, along with at least an indication of the first predicted efficacy measure.

Abstract: Described herein is a system and method for controlling a computing system by an AI network based upon an electroencephalograph (EEG) signal from a user. The user's EEG signals are first detected as the user operates an existing controller, during which time the associated artificial intelligence (AI) system learns by correlating the EEG signals with the commands received from the controller. Once the AI system determines that there is sufficient correlation to predict the user's actions, it can take control of the computing system and initiate commands based upon the user's EEG signal in place of the user's actions with the controller. At this point, weights in the AI network may be locked so that further commands from the controller, or the lack thereof, do not reduce correlation with the EEG signals. In some embodiments, the AI network may initiate commands faster than the user would be able to do.

Abstract: A wearable therapeutic device is provided. The wearable therapeutic device includes a garment, and the garment includes an electrode and a conductive thread. A control unit is coupled to the conductive thread and identifies an electrical connection between a conductive surface of the electrode and the conductive thread, and an alarm module can provide information about the positioning of the electrode in the garment based on the electrical connection.

Abstract: A disease-specific ontology crafted by a consensus of expert clinicians may be used to semantically characterize/provide semantic meaning to dynamically changing patient electronic medical record (EMR) data in critical care settings. Hierarchical, directed node-edge-node graphs (concept maps or Vmaps) developed with an end-user friendly graphical user interface and ontology editor, can be used to represent structured clinical reasoning and serve as the first step in disease-specific ontology building. Disease domain Vmaps reflecting expert clinical reasoning associated with management of acute illnesses encountered in critical care settings (e.g. ICUs) that extend core clinical ontologies, developed and reviewed by experts, are in turn extended with existing medical ontologies and automatically translated to a domain ontology processing engine.

Abstract: Improved RFID devices and manufacturing methods that utilize more efficient RFID designs, result in less manufacturing material waste and increased recycling opportunities, all without sacrificing RFID device performance, are disclosed herein. Some exemplary embodiments of the improved RFID device may make use of a thinner foil, a hollowed-out foil, a “no-strip” design, or a tessellated design that may reduce material usage. Other exemplary embodiments may use a lower-impact and/or biodegradable adhesive so as to improve aluminum recycling and lessen risks to the environment.

Abstract: A method for determining distraction of a driver of a vehicle, including sampling sensor measurements at an onboard system of the vehicle; generating an output indicative of a distracted state; determining that the driver of the vehicle is characterized by the distracted state, based on the output; generating, at a second distraction detection module of a remote computing system, a second output indicative that the driver is characterized by the distracted state, based on the sensor measurements; computing a distraction score, at a scoring module of the remote computing system, in response to generating the second output and based on the sensor measurements and the distracted state.

Abstract: A method and system for student driver monitoring which includes configuring student and instructor devices. For each driving session, configuring at least one the student and instructor devices for pairing the devices; generating a driving session log; monitoring continued pairing of the devices; and uploading the driving session log to a driver training database. The method also includes enabling authorized access to the database to retrieve training information. Pairing the student and instructor devices requires the student and instructor devices to be within a limited range of one another, or in the same vehicle. Vehicle and camera information can be collected for the session log. A seat belt sensor system can indicate whether the student seatbelt is fastened. An unfastened student seatbelt can prevent pairing of the student and instructor devices. Pairing the student and instructor devices can include confirming authentication information.

Abstract: Systems and methods for supporting medical therapy decisions are disclosed that utilize predictive models and electronic medical records (EMR) data to provide predictions of health conditions over varying time horizons. Embodiments also determine a 0-100 health risk index value that represents the “risk” for a patient to acquire a health condition based on a combination of real-time and predicted EMR data. The systems and methods receive EMR data and use the predictive models to predict one or more data values from the EMR data as diagnostic criteria. In some embodiments, the health condition trying to be avoided is Sepsis and the health risk index is a Sepsis Risk Index (SRI). In some embodiments, the predictive models are neural network models such as time delay neural networks.

Abstract: A bio-signal quality assessment apparatus may include: a bio-signal obtainer configured to obtain a bio-signal; and a processor configured to extract periodic signals from the obtained bio-signal, and determine a signal quality index based on at least one of similarity between the extracted periodic signals and signal variability of the obtained bio-signal.

Abstract: A deployable safety zone system includes at least a first arm mounted on a support member and being movable between stored and operating positions relative to the support member. The support member and first arm define a safety zone between then when the first arm is in the operating position. The safety system may include reflective mechanisms, light sources, and an alarming system. The alarming system may include a transmitter positioned on one part of the safety system, a receiver positioned on another part of the safety system and an alarm mechanism. A signal may be sent between the transmitter and receiver and if that signal is interrupted, a visual or audible alarm may be generated. Alternatively, the deployable safety zone system may comprise a sensor assembly disposed adjacent the support member. The alarmed safety zone is defined between the support member and the sensor assembly.

Abstract: A system and method for the supply of a medical storage container that has a required inventory of medical articles. An enclosure is used to isolate, scan, and inventory a tray or other container of medical articles. The container and each of the medical articles stored in the container having a wireless identification device. A probe injects activation energy and receives identification data in the enclosure. A program compares the scanned identification of the tray and the inventory of the tray to the required inventory list for the tray and indicates any differences. Extra articles and expired and recalled articles are identified. Text and graphical data displays of inventory are provided. Selectable periods for expiration of medical articles are also provided.

Abstract: Methods for creating high quality alarms raise EMS operator awareness to abnormal conditions in monitored assets across multiple sites in a single EMS software platform. An embodiment includes steps for accessing an alarm designer software tool that contains a library of alarm definitions and the ability to create new alarm definitions, clone and edit existing alarm definitions, lock alarm definitions and delete alarm definitions. Applicable data is defined using channel attributes identifying which channel or channels associated with the multiple monitored sites are to be evaluated for alarming conditions. The alarm frequency, trigger conditions, pending open duration, close conditions, and pending close duration are also defined. Alarms can trigger upon one or more channels' behavior over periods of time and conditional relationships between multiple channels. Close conditions for an alarm can be, but are not required to be, the resolution of the trigger conditions.

Abstract: A physiological condition assessing method includes: acquiring a driving-time physiological data measured when a subject is driving a vehicle; acquiring a driving-characteristic data indicating driving characteristics; acquiring a period driving-time physiological data, a period driving-characteristic data and period non-driving-time physiological data corresponding to a first period including the measurement time point of the driving-time physiological data and the measurement time point of the driving-characteristic data, and a second period having a different length to the first period; generating a driving-time physiological feature from the driving-time physiological data and the period driving-time physiological data; generating a driving-characteristic feature; generating a non-driving-time physiological feature quantity; and assessing a physiological condition of the subject, from the non-driving-time physiological feature and at least one of the driving-time physiological feature and the driving-char

Abstract: A product with packaging includes an envelope having a cavity. An NFC chip may be embedded in the packaging. The NFC chip may be passive, and may connect to the electronic device of the specific user, and once connected may initiate or carry out an authentication process or activation process.

Abstract: A method may include receiving data from one or more sensing elements associated with a power tool. The method may also include measuring the detected data. The method may further include computing one or more data parameters based on the measuring. The method may include determining whether to permit operation of the power tool based on the data parameters. The method may further include permitting operation of the power tool when the data parameters satisfy an operation condition. The method may also include altering operation of the power tool when the data parameters does not satisfy the operation condition by performing at least one of: generating an alarm, or preventing operation of the power tool.

Abstract: A shared vehicle management system for managing a shared vehicle is described in the present disclosure. The shared vehicle management system includes a return request processing unit, a shared vehicle management unit and a parking determination unit. The return request processing unit is configured to receive, from a mobile device of a user, a shared vehicle return request including terminal identification information of the mobile device and parking spot identification information. The shared vehicle management unit is configured to identify the shared vehicle based on the terminal identification information of the mobile device. The parking determination unit is configured to determine, based on the parking spot identification information, that the shared vehicle identified by the shared vehicle management unit is parked on a parking spot corresponding to the parking spot identification information.