Abstract: A four leg, lower extremity, robotic exoskeleton system is provided for medically assistive motion in gait, sit to stand (STS) and step climbing activities. The system has four articulated robotic legs, including two exoskeleton legs and two auto-pole legs, which are connected to a torso frame, controlled by a motion controller and a user interfaces, and that interacts with an assistive stationary robotic chair, or a wheelchair, for storage, dressing, STS and rest. The STS motion, in the stationary chair and the wheelchair, may be done with a single axis linear actuator, which maintains a back seat tip parallel to the ground for safety and comfort. Links of the exoskeleton and auto-pole legs are actuated by a linear or rotary actuators with their synchronized motion controlled by the motion controller, for safety, comfort and cost performance optimization depending on the medical needs.

Abstract: A system and method for patient movement detection and fall monitoring to address the need to proactively monitor patients to detect abnormal movements, in-room activity, and other movements associated with providing in-room care. The system comprises an environmental model which can be used to track the position and movement of a patient and a classifier network configured to receive movement data and classify a patient's movement as normal or abnormal movement. In addition to monitoring in-room activity, the system and method create safe zones within the room to ensure patients are proactively monitor in the event of a seizure, fall, or other unintended activity. The system will record and store in-room video in a secure environment. Videos and notifications are automatically sent to designated staff as events occur.

Abstract: A system and method for quantifying Alzheimer's disease (AD) risk using one or more interferometric micro-Doppler radars (IMDRs) and deep learning artificial intelligence to distinguish between cognitively unimpaired individuals and persons with AD based on gait analysis. The system utilizes IMDR to capture signals from both radial and transversal movement in three-dimensional space to further increase the accuracy for human gait estimation. New deep learning technologies are designed to complement traditional machine learning involving separate feature extraction followed-up with classification to process radar signature from different views including side, front, depth, limbs, and whole body where some motion patterns are not easily describable. The disclosed cross-talk deep model is the first to apply deep learning to learn IMDR signatures from two perpendicular directions jointly from both healthy and unhealthy individuals.

Abstract: A system and method for patient movement detection and fall monitoring to address the need to proactively monitor patients to detect abnormal movements, in-room activity, and other movements associated with providing in-room care. The system comprises an environmental model which can be used to track the position and movement of a patient and a classifier network configured to receive movement data and classify a patient's movement as normal or abnormal movement. In addition to monitoring in-room activity, the system and method create safe zones within the room to ensure patients are proactively monitor in the event of a seizure, fall, or other unintended activity. The system will record and store in-room video in a secure environment. Videos and notifications are automatically sent to designated staff as events occur.

Abstract: A system and method for quantifying Alzheimer's disease (AD) risk using one or more interferometric micro-Doppler radars (IMDRs) and deep learning artificial intelligence to distinguish between cognitively unimpaired individuals and persons with AD based on gait analysis. The system utilizes IMDR to capture signals from both radial and transversal movement in three-dimensional space to further increase the accuracy for human gait estimation. New deep learning technologies are designed to complement traditional machine learning involving separate feature extraction followed-up with classification to process radar signature from different views including side, front, depth, limbs, and whole body where some motion patterns are not easily describable. The disclosed cross-talk deep model is the first to apply deep learning to learn IMDR signatures from two perpendicular directions jointly from both healthy and unhealthy individuals.

Abstract: A system for passively predicting and detecting falls using one or more dual-polarized Doppler radars and machine learning algorithms. The system is typically implemented for use in predicting or detecting falls in older adults and may be connected with various systems that can alert emergency services or hospice personnel in the event of a fallen individual. Furthermore, the system overcomes conventional radar systems by integrating vertical and horizontal micro-Doppler signatures into a combined signature which is analyzed by machine learning algorithms to correctly and expeditiously predict and detect a variety of human movements. The system also finds applications wherever micro-Doppler signals may be generated such as predicting or detecting behaviors or movements over time to detect and predict the onset of diseases and other disabilities.

Abstract: A system for passively predicting and detecting falls using one or more dual-polarized Doppler radars and machine learning algorithms. The system is typically implemented for use in predicting or detecting falls in older adults and may be connected with various systems that can alert emergency services or hospice personnel in the event of a fallen individual. Furthermore, the system overcomes conventional radar systems by integrating vertical and horizontal micro-Doppler signatures into a combined signature which is analyzed by machine learning algorithms to correctly and expeditiously predict and detect a variety of human movements. The system also finds applications wherever micro-Doppler signals may be generated such as predicting or detecting behaviors or movements over time to detect and predict the onset of diseases and other disabilities.

Abstract: A connected vehicle lift and storage system (VLSS) can include a plurality of platforms for storing vehicles that are movable between a plurality of positions. The connected VLSS can communicate with a computing device operated by a user to receive requests to store or retrieve the user's vehicle(s). As part of the request, location data generated by the computing device can be transmitted to the connected VLSS. In response to the request, the connected VLSS can determine a sequence of platform movements to fulfill the request to store or retrieve the user's vehicle(s). The sequence can be determined, at least in part, on the location data of the requesting user and/or the location data of other users. In addition, the sequence can be determined to minimize wait times for the requesting user and other users.

Abstract: A vehicle lift and storage system (VLSS) can comprise a platform that can be moved between a plurality of positions by one or more moving mechanisms. The platform can be equipped with a wireless, multi-axis accelerometer that transmits data regarding the platform to a control system of the VLSS via a wireless sensor link. Using the data from the multi-axis accelerometer, the control system can generate control signals to control the one or more moving mechanisms. The control system can also detect the occurrence of a safety event based on the data received from the multi-axis accelerometer. In response to detecting a safety event, the control system can cause the one or more moving mechanisms to enter a safety mode to alleviate or respond to the detected safety event.

Abstract: A connected vehicle lift and storage system (VLSS) can include a plurality of platforms for storing vehicles that are movable between a plurality of positions. The connected VLSS can communicate with a computing device operated by a user to receive requests to store or retrieve the user's vehicle(s). As part of the request, location data generated by the computing device can be transmitted to the connected VLSS. In response to the request, the connected VLSS can determine a sequence of platform movements to fulfill the request to store or retrieve the user's vehicle(s). The sequence can be determined, at least in part, on the location data of the requesting user and/or the location data of other users. In addition, the sequence can be determined to minimize wait times for the requesting user and other users.

Abstract: A vehicle lift and storage system (VLSS) can comprise a platform that can be moved between a plurality of positions by one or more moving mechanisms. The platform can be equipped with a wireless, multi-axis accelerometer that transmits data regarding the platform to a control system of the VLSS via a wireless sensor link. Using the data from the multi-axis accelerometer, the control system can generate control signals to control the one or more moving mechanisms. The control system can also detect the occurrence of a safety event based on the data received from the multi-axis accelerometer. In response to detecting a safety event, the control system can cause the one or more moving mechanisms to enter a safety mode to alleviate or respond to the detected safety event.

Abstract: A connected vehicle lift and storage system (VLSS) can include a plurality of platforms for storing vehicles that are movable between a plurality of positions. The connected VLSS can communicate with a computing device operated by a user to receive requests to store or retrieve the user's vehicle(s). As part of the request, location data generated by the computing device can be transmitted to the connected VLSS. In response to the request, the connected VLSS can determine a sequence of platform movements to fulfill the request to store or retrieve the user's vehicle(s). The sequence can be determined, at least in part, on the location data of the requesting user and/or the location data of other users. In addition, the sequence can be determined to minimize wait times for the requesting user and other users.

Abstract: A network system can provide a network service to manage a plurality of vehicle lift and storage systems (VLSS's). The network system can receive requests from users to store or retrieve their vehicles. In response to a user's request to store a vehicle, the network system can determine a dynamic storage assignment for the user's vehicle at one of the plurality of VLSS's managed by the network service. The dynamic storage assignment can be determined based, at least in part, on location information included in the request. The dynamic storage assignment can also be determined based on up-to-date availability information for each of the plurality of VLSS's managed by the network service. In addition, the network system can maintain user profiles for each user of the network service and can process financial transactions for users for use of the VLSS's.

Abstract: A vehicle lift and storage system (VLSS) can comprise a platform that can be moved between a plurality of positions by one or more moving mechanisms. The platform can be equipped with a wireless, multi-axis accelerometer that transmits data regarding the platform to a control system of the VLSS via a wireless sensor link. Using the data from the multi-axis accelerometer, the control system can generate control signals to control the one or more moving mechanisms. The control system can also detect the occurrence of a safety event based on the data received from the multi-axis accelerometer. In response to detecting a safety event, the control system can cause the one or more moving mechanisms to enter a safety mode to alleviate or respond to the detected safety event.

Abstract: Implementations of a Patient Flow Timer (PFT) system for measuring a patient's movement and wait times through a medical office (i.e., patient flow) are provided. In some implementations, for each activity, office person to be seen, or event that the patient will encounter during the patient's office visit, a start time, stop time, and total time spent may be recorded using the PFT system. In some implementations, the wait time between adjacent activities, office persons, or events, may be calculated and recorded. The data may be captured using a computing device having a user-interface for capturing start times and stop times. By capturing data real-time, real-time displays can be created to show the state of patient flow in an office and office wait times can be computed.

Abstract: A method for in vitro detecting keratin gene fusion of squamous-cell cancer comprises steps: (a) obtaining a sample of squamous cells from a testee; and (b) detecting whether the sample of squamous cells has gene fusion, which is likely to occur in squamous-cell cancer and unlikely to occur in healthy tissue. The sample of squamous cells is determined to have squamous-cell cancer if the gene fusion exists in the sample of squamous cells.

Abstract: The present invention teaches, among other things, a graphical user interface system for enhancing the management of budgeting and scheduling of projects serviced by and among a plurality of independent parties, comprising, in combination, the steps of: providing a color-coded, multi-tier graphical user interface which illustrates a value-based sequence of project data, said interface being capable of providing the system user with physical and virtual product data relating to one or more of the industries such as, without limitation, architecture, construction, and filmmaking; capturing information relating to at least one particular trade; presenting captured data as a plurality of mini-projects; storing and linking data flow activities for a system user operation; providing based upon resource value and schedule a Web or cloud-based software-as-a-service model in a tree-like interactive graphic; graphically presenting to the system user the status of a given project; providing the system user, by one or mo

Abstract: A box package containing stacked disposable absorbent articles is disclosed. The package has a pair of top flaps, and a handle cutout on each flap. In one embodiment a handle reinforcing material may be disposed between the handle cutouts. In one embodiment the handle cutouts may be partial, and attached portions of material forming residual cutout flaps may remain attached within the cutouts. Other structural elements may be present to maximize economy of space while maintaining structural integrity, conserving materials and providing a package that is convenient for consumers.

Abstract: Embodiments relate to a method for forming reliable interconnects by the use of a device layer that can serve as a barrier or an etch stop layer, among other applications. The device layer is UV resistant in that its dielectric constant and stress remain stable or relatively stable when subjected to UV curing.

Abstract: Embodiments relate to a method for forming reliable interconnects by the use of a device layer that can serve as a barrier or an etch stop layer, among other applications. The device layer is UV resistant in that its dielectric constant and stress remain stable or relatively stable when subjected to UV curing.