Abstract: A radar stethoscope system (12) and method for respiration and heart sound assessment is provided. Embodiments present a method to measure acoustics related to breathing and heartbeat sounds using small-scale radars. Acoustic data derived from the radar return measurements can be based on phase changes of the radar return measurements over a period of time. The radar stethoscope (12) can capture and identify respiratory and heart acoustics as traditionally captured by a clinical stethoscope. Using advanced radar processing algorithms, these acoustic signals can be recovered from a distance and without making contact with the patient (14).

Abstract: Methods and systems are herein provided for determining operating conditions of a magnetic resonance (MR) scanner based on data of one or more implants of a patient and storing the data of the one or more implants are provided. In one examples, a method comprises obtaining data of one or more implants of a patient from one or more sources; determining one or more configurations of each of the one or more implants; displaying, via a graphical user interface (GUI), the data and the one or more configurations; determining a recommendation configuration based on the one or more configurations; determining a selected configuration via user input to the GUI; and determining operating conditions of an MRI scanner based on the selected configuration for an MRI exam.

Abstract: Methods and systems are provided for automated protocol recommendation and selection in a medical imaging system. In one example, a method for the medical imaging system may include receiving an imaging order for an operator requesting an exam be performed on a patient using the medical imaging system, recommending a scan protocol for conducting the exam based on historical selections data for the operator and patient demographic data for the patient, and outputting the recommended scan protocol for display on a display device and/or automatically executing the recommended scan protocol.

Abstract: An architecture and techniques for providing a generalizable machine learning recommendation in connection with medical protocols such as radiology protocols. In response to receipt of a medical examination order request in a standardized input format, the system can, based on a machine learning technique, output a recommended protocol according to a standardized output format. The system can then perform a mapping procedure that maps site-specific data to the standardized input format and the standardized output format. The site-specific data can comprise information that is specific to an entity that provides the medical examination order request.

Abstract: Methods and systems are provided for data synchronization. In one example, a method for synchronizing data between an agent and a core includes sending, from the agent, a request to the core identifying a data subset to be synchronized, the request further including a fingerprint for each block of data in the data subset; receiving, at the agent, a response from the core identifying a block of mismatched data between the core and the agent; fetching a fingerprint for each record of the identified block of mismatched data and creating a fingerprint of the block based on the fetched fingerprints; sending, from the agent, a request to the core including the fingerprint of the block; and receiving, at the agent, one or more records from the core identified via a comparison of fingerprints of the one or more records.

Abstract: Methods and systems for remote sleep monitoring are provided. Such methods and systems provide non-contact sleep monitoring via remote sensing or radar sensors. In this regard, when processing backscattered radar signals from a sleeping subject on a normal mattress, a breathing motion magnification effect is observed from mattress surface displacement due to human respiratory activity. This undesirable motion artifact causes existing approaches for accurate heart-rate estimation to fail. Embodiments of the present disclosure use a novel active motion suppression technique to deal with this problem by intelligently selecting a slow-time series from multiple ranges and examining a corresponding phase difference. This approach facilitates improved sleep monitoring, where one or more subjects can be remotely monitored during an evaluation period (which corresponds to an expected sleep cycle).

Abstract: Methods and systems are provided for automated protocol recommendation and selection in a medical imaging system. In one example, a method for the medical imaging system may include receiving an imaging order for an operator requesting an exam be performed on a patient using the medical imaging system, recommending a scan protocol for conducting the exam based on historical selections data for the operator and patient demographic data for the patient, and outputting the recommended scan protocol for display on a display device and/or automatically executing the recommended scan protocol.

Abstract: Methods and systems are provided for data synchronization. In one example, a method for synchronizing data between an agent and a core includes sending, from the agent, a request to the core identifying a data subset to be synchronized, the request further including a fingerprint for each block of data in the data subset; receiving, at the agent, a response from the core identifying a block of mismatched data between the core and the agent; fetching a fingerprint for each record of the identified block of mismatched data and creating a fingerprint of the block based on the fetched fingerprints; sending, from the agent, a request to the core including the fingerprint of the block; and receiving, at the agent, one or more records from the core identified via a comparison of fingerprints of the one or more records.

Abstract: Vital sign monitoring via remote sensing on stationary exercise equipment is provided. A new non-contact approach described herein uses radio frequency (RF) radar (e.g., ultra-wide band (UWB) radar) to remotely monitor vital sign information (such as heartbeat and breathing) and human activity information of subjects using stationary exercise equipment. In some embodiments, a radar sensor captures micro-scale chest motions (corresponding to the vital sign information) as well as macro-scale body motions (corresponding to movements from exercise). A signal processor receives radar signals from the radar sensor and processes the radar signals to reconstruct vital sign information from the micro-scale chest motions and/or human activity information from the macro-scale body motions using a joint vital sign-motion model, which can be trained using machine learning and other approaches.

Abstract: Methods and systems for remote sleep monitoring are provided. Such methods and systems provide non-contact sleep monitoring via remote sensing or radar sensors. In this regard, when processing backscattered radar signals from a sleeping subject on a normal mattress, a breathing motion magnification effect is observed from mattress surface displacement due to human respiratory activity. This undesirable motion artifact causes existing approaches for accurate heart-rate estimation to fail. Embodiments of the present disclosure use a novel active motion suppression technique to deal with this problem by intelligently selecting a slow-time series from multiple ranges and examining a corresponding phase difference. This approach facilitates improved sleep monitoring, where one or more subjects can be remotely monitored during an evaluation period (which corresponds to an expected sleep cycle).

Abstract: Biometric identification using electroencephalogram (EEG) signals is provided. Embodiments are targeted for biometric applications, where an individual can be identified with a precision of over 99%, using sensed brain signals. In particular, a method is described which can extract unique biomarkers from EEG response signals to classify individuals, also referred to as simple visual reaction task-based EEG biometry (SVRTEB). A subject experiences a simple stimulus or task, and a multi-channel EEG response is recorded. Unique biomarkers are extracted from the recorded EEG response (e.g., as periodogram data points corresponding to different frequencies observed in the brain waves, which can be used to identify a person). A novel signal processing approach uses neural network-based architecture to analyze the EEG response and identify the subject. This signal processing architecture can be readily implemented on hardware and provides high accuracy, precision, and recall.

Abstract: Enabling search in a touchscreen device. This embodiment relates to electronic devices, and more particularly to electronic devices with a touchscreen. The principal object of this embodiment is to enable a user to perform a search in a text based data in a single step on a touch screen based device.

Abstract: The embodiments herein relate to web searches and, more particularly, to a gaze controlled approach to automate web search. The system identifies coordinates of the display unit the user is gazing at, at each instance of time and forms corresponding gaze vectors. Further, data displayed on the display unit is grouped into different semantic zones; with each semantic zone having different coordinates. By comparing coordinate information in the gaze vector and each of the semantic zones, the system identifies semantic zone the user is gazing at. Further, from the identified semantic zones, the system identifies a subject of interest for that user. A search is performed in the associated databases with the subject of interest as the key and the results are displayed to the user.