Texas Instruments Corporation

Angiometrix Corporation

Pathways Medical Corporation

Goutam Dutta

Jayawardan Janardhanan

Sandeep Rao

Nitin Patil

Deric Wayne Waters

Raghavan Subramaniyan

Venugopal Gopinathan

Abhijit Anant Patki

Tarkesh Pande

Varun Tripuraneni

Srinath Hosur

Jaiganesh Balakrishnan

June Chul Roh

Karthik Ramasubramanian

Sriram Murali

Sthanunathan Ramakrishnan

Vineet Mishra

Sachin Bhardwaj

Yogesh Shekar

A system () for pedestrian use includes an accelerometer () having multiple electronic sensors; an electronic circuit () operable to generate a signal stream representing magnitude of overall acceleration sensed by the accelerometer (), and to electronically correlate a sliding window () of the signal stream with itself to produce peaks at least some of which represent walking steps, and further operable to electronically execute a periodicity check () to compare different step periods for similarity, and if sufficiently similar then to update () a portion of the circuit substantially representing a walking-step count; and an electronic display () responsive to the electronic circuit () to display information at least in part based on the step count. Other systems, electronic circuits and processes are disclosed.

Robust step detection using low cost MEMS accelerometer in mobile applications, and processing methods, apparatus and systems

Pressure sensing guidewire assemblies are described herein where the guidewire assembly may be comprised of an elongate guidewire body and multiple pressure sensors secured near or at a distal end of the guidewire body. The signals obtained from the guidewire connectors and aortic sensor modules may be synchronized to minimize signal acquisition delays. The signals may be further processed to equalize the pressure waveforms by shifting the connector waveform to align correctly with the aortic module waveform and improve output signals.

Pressure sensing guidewire assemblies and systems

Methods and systems for determining information about a vascular bodily lumen are described. An exemplary method includes generating an electrical signal, delivering the electrical signal to a plurality of excitation elements in the vicinity of the vascular bodily lumen, measuring a responsive electrical signal from a plurality of sensing elements in response to the delivered electrical signal, and determining a lumen dimension. Specific embodiments include generating a multiple frequency electrical signal. Another embodiment includes measuring a plurality of responsive signals at a plurality of frequencies. Still other embodiments include using spatial diversity of the excitation elements. Yet other embodiments use method for calibration and de-embedding of such measurements to determine the lumen dimensions. Diagnostic devices incorporating the method are also disclosed, including guide wires, catheters and implants. The methods and systems described herein are advantageous as they do not include injecting a second fluid for the measurements.

Methods and systems for determining vascular bodily lumen information and guiding medical devices

According to an aspect of the present disclosure, the relative attitude between an inertial measurement unit (IMU), present on a mobile device, and the frame of reference of the vehicle carrying mobile device is estimated. The estimated relative attitude is used to translate the IMU measurement to the vehicle frame of reference to determine the velocity and position of the vehicle. As a result, the vehicle position and velocity are determined accurately in the event of undocking and re-docking of the mobile device from a docking system in the vehicle. The relative attitude is estimated in terms of pitch, roll, and yaw angles.

Undocking and re-docking mobile device inertial measurement unit from vehicle

A user-heading determining system () for pedestrian use includes a multiple-axis accelerometer () having acceleration sensors; a device-heading sensor circuit () physically situated in a fixed relationship to the accelerometer (); an electronic circuit () operable to generate signals representing components of acceleration sensed by the accelerometer () sensors, and to electronically process at least some part of the signals to produce an estimation of attitude of a user motion with respect to the accelerometer, and further to combine the attitude estimation (, &#x3b1;) with a device heading estimation (, &#x3c8;) responsive to the device-heading sensor circuit, to produce a user heading estimation (); and an electronic display () responsive to the electronic circuit () to display information at least in part based on the user heading estimation. Other systems, circuits and processes are also disclosed.

Displaying walking signals variously rotated, estimating variance, vertical, lateral direction

Embodiments of the disclosure provide a cross coupled position engine architecture for sensor integration in a Global Navigation Satellite System. In one embodiment, a data processing engine for processing inertial sensor data within a positioning system receiver is disclosed. The data processing engine includes a first input for receiving the sensor data, and a second input for receiving a positioning data. The data processing system also includes a memory and a processor. The processor of the data processing system is coupled to the memory and to the first and second input. The processor of the data processing system is configured to calculate a net acceleration profile data from the inertial sensor data and from the positioning data. The net acceleration profile data calculated by the processor of the data processing system is used for the Global Positioning System (GPS) receiver to subsequently calculate a position and a velocity data.

Performing GPS operations in receiver sensor engine and position engine

Attitude estimation for pedestrian navigation using low cost MEMS accelerometer in mobile applications, and processing methods, apparatus and systems

An electronic circuit includes an electronic compass having e-compass sensors mounted on different axes and operable to supply e-compass sensor data, memory circuitry, and an electronic processor coupled to said e-compass sensors and to said memory circuitry, said electronic processor operable to execute an electronic ellipse-fitting procedure responsive to the e-compass sensor data to generate at least one signal related to an ellipse tilt angle, and store the at least one signal in said memory circuitry as a tilt calibration parameter for the e-compass. Processes for calibrating an e-compass, as well as electronic circuits and processes for correcting measured heading, and processes of manufacture are also disclosed.

E-compass, tilt sensor, memory and processor with coarse detilting procedure

Positioning system receiver sensor system coupled with measurement data output

A personal navigation device configured to determine heading readings continuously using data from a sensor in the personal navigation device. Heading readings are selected corresponding to a periodic event. A representative heading is determined from the selected heading readings. When a portion of the selected heading readings has a value within a range of the representative heading, a static heading indicator is asserted to indicate the personal navigation device is moving in a static heading. The static heading indicator may be used to smooth an estimated trajectory of the personal navigation device.

Static heading detection in personal navigation device

Attitude estimation for pedestrian navigation using low cost mems accelerometer in mobile applications, and processing methods, apparatus and systems

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Bengaluru, India

Goutam Dutta