Patent application number | Description | Published |
20100022898 | MEASUREMENT OF CARDIAC OUTPUT AND BLOOD VOLUME BY NON-INVASIVE DETECTION OF INDICATOR DILUTION - A system for evaluating the cardiovascular system parameters using indicator dilution and non-invasive or minimally invasive detection methods is disclosed. Intravascular indicators are stimulated, and emissions patterns detected for computation of cardiac output, cardiac index, blood volume and other indicators of cardiovascular health. | 01-28-2010 |
20100042007 | SYSTEM FOR REPETITIVE MEASUREMENTS OF CARDIAC OUTPUT IN FREELY MOVING INDIVIDUALS - A system for evaluating the cardiovascular system parameters using indicator dilution and non-invasive or minimally invasive detection and calibration methods are disclosed. Intravascular indicators are stimulated, and emissions patterns detected for computation of cardiac output, cardiac index, blood volume and other indicators of cardiovascular health. | 02-18-2010 |
20100099992 | CARDIAC OUTPUT MONITOR WITH COMPENSATION FOR TISSUE PERFUSION - A non-invasive system and method for determination of cardiac output and blood volume of a patient includes compensating for a change in the fluorescence of an indicator circulating in the bloodstream of a tissue or organ that is caused by a variation of the blood content at the site of the measurement. | 04-22-2010 |
20100268090 | MEASUREMENT OF HEMATOCRIT AND CARDIAC OUTPUT FROM OPTICAL TRANSMISSION AND REFLECTION CHANGES - A system and method of non-invasive determination of hematocrit change from optical reflected light in combination with transmitted light or from reflected light measured from one or more locations on a blood carrying medium. Determining the cardiac output of a patient based on the amount of plasma or saline injected and the determined hematocrit change. The cardiac output may be determined on a patient undergoing hemodialysis. The hematocrit changes can be detected transcutaneously, transarterially, intraarterially, or across an extracorporeal arterial circulatory path. | 10-21-2010 |
Patent application number | Description | Published |
20120290662 | MINING EMAIL INBOXES FOR SUGGESTING ACTIONS - Embodiments are directed towards automatically learning user behavioral patterns when interacting with messages and based on the learned patterns, suggesting one or more predicted actions that a user might take in response to receiving subsequent message. One or more classifiers are trained and employed to predict one or more actions that a user might take in response to receiving the message. In one embodiment, the one or more predicted actions are provided suggested to the user as an action the user might take on the message. Messages may be rank ordered within a given suggested action based on a confidence level of the prediction. | 11-15-2012 |
20130275611 | METHOD AND SYSTEM OF DYNAMIC ROUTING OF AGGREGATED ONLINE MEDIA STREAMS - Disclosure includes a system, method and architecture to monitor media content streams, e.g., streams of digital encoded media data such as without limitation audio and/or video data, from a number of media content streaming providers and identify media content items from those media content items being streamed by the media content streaming providers for inclusion in a personalized media content stream for a user. In a direct streaming approach, the media content items contained in a stream are available while each item is being streamed by the content provider. In a centralized streaming approach, media content items contained in each media content stream that is currently being streamed by content provider are available for a limited window of time, which can be dependent on buffer length. | 10-17-2013 |
20130318172 | METHOD AND SYSTEM FOR EMAIL SEQUENCE IDENTIFICATION - A system and method for identifying causal email threading. In one aspect, a computing device identifies a plurality of email templates, each email template corresponding to characteristics of a received machine-generated email, the characteristics of the received machine-generated email relating to static data of the machine-generated email. The computing device generates a template causality graph by analyzing the plurality of email templates to determine a statistical causality between templates of the plurality of email templates, the determining of the statistical causality between templates comprising determining that a first received machine-generated email associated with a first template is a result of a second received machine-generated email associated with a second template. | 11-28-2013 |
20130325462 | AUTOMATIC TAG EXTRACTION FROM AUDIO ANNOTATED PHOTOS - A system and method for assigning one or more tags to an image file. In one aspect, a server computer receives an image file captured by a client device. In one embodiment, the image file includes an audio component embedded therein by the client device, where the audio component was spoken by a user of the client device as a tag of the image file. The server computer determines metadata associated with the image file and identifies a dictionary of potential textual tags from the metadata. The server computer determines a textual tag from the audio component and from the dictionary of potential textual tags. The server computer then associates the textual tag with the image file as additional metadata. | 12-05-2013 |
20130346496 | SYSTEM AND METHOD OF PREDICTING COMMUNITY MEMBER RESPONSIVENESS - Disclosed herein is a mechanism, which may be in a community-driven system, to assist a user, or member of the community, to articulate a request, such as a question, that is likely to receive a response, e.g., an answer to a question posed, from the user community. A machine learning approach may be used to generate a model, which model may be trained using previously-posted requests, e.g., questions, and response, e.g., answers. The generated model may be used to make a prediction, e.g., to predict a potential number of answers for a given question, which prediction may also have an accompanying confidence score. A prediction generated by the model may be presented to the user as the user is providing the input, e.g., typing a question. Such prediction may be generated for a partial question, e.g., as the question is being typed, as well as a completed question. | 12-26-2013 |
20140075334 | Cold Start Answers - Deriving a user profile includes: generating a user interface on which a user interacts in a session; formulating questions such that a user response to the questions indicates a preference; presenting the questions to the user on the user interface; receiving responses from the user, the responses indicating user preferences; and populating a user profile with the user preferences. The steps of presenting, receiving, and populating are repeated until the session terminates. | 03-13-2014 |