Nellix, Inc.

Aruba Networks, Inc.

Endologix, Inc.

Anant Kumar

Michael A Evans

Steven Lawrence Herbowy

K T Venkateswara Rao

Gil Laroya

Matthew R Hellewell

Abhishek Ranjan Singh

Varun Shah

Kt Venkateswara Rao

A system for treating an aneurysm comprises an elongate flexible shaft and an expandable member. An expandable scaffold is disposed over the expandable member and may be expanded from a collapsed configuration to an expanded configuration. A double-walled filling structure is disposed over the scaffold and has an outer wall and an inner wall. The filling structure is adapted to be filled with a hardenable fluid filing medium so that the outer wall conforms to an inside surface of the aneurysm and the inner wall forms a substantially tubular lumen to provide a path for blood flow. In the expanded configuration the scaffold engages the inner wall of the filling structure. A tether is releasably coupled with the filling structure and the flexible shaft thereby constraining axial movement of the structures relative to each other.

Stent graft delivery system

A system and method is described that computes an estimated current location for a client device based on both the detected current location and the predicted current location of the client device. By utilizing the predicted current location, the system and method may account for and compensate for anomalies and inaccuracies in the detected current location. Accordingly, the system and method provides a more accurate estimation for the current location of the client device based on examination of heuristics and a priori environmental data. In particular, the system and method compensates for detected locations that are impossible or improbable based on previous locations of the client device, the layout of the environment in which the client device is traversing, data describing the user of the client device, and/or data describing the client device.

Determining location based on both a detected location and a predicted location

Methods and systems are described for filtering out signal strength data associated with access points and a client device using heuristic and intra-access point analysis. The filtered data may be used to approximate the location of the client device. By filtering signal strength values through a heuristic and intra-access point analysis; the systems and methods described eliminate inaccurate or anomalistic values, which may negatively alter the estimated location of the client device. Accordingly, the systems and methods may produce more accurate client device location estimates by intelligently examining detected signal strength values.

Filtering out access point data based on non-conformity with other access point data

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San Jose, CA, United States of America

Anant Kumar