Covidien LP

Medtronic, Inc.

Other

Eric M Christensen

Eric J Panken

Randal C Schulhauser

John Wainwright

Paul G Krause

Avram Scheiner

Eduardo N Warman

Patrick W Kinzie

Jadin C Jackson

Aaron Gilletti

Julia Slopsema

Alejo Chavez Gaxiola

Andrew J Ries

Jonathon E Giftakis

Shantanu Sarkar

David A Anderson

Richard J O'Brien

Jerry D Reiland

David J Miller

David W Gibbens

Kevin W Gibbens

Niranjan Chakravarthy

Deborah Ann Jaye

Ekaterina M Ippolito

Brian D Pederson

Geert Morren

Philip E Tracton

A system for detecting strokes includes a sensor device configured to obtain physiological data from a patient, for example brain activity data. The sensor device can include electrodes configured to be disposed at the back of the patient's neck or base of the skull. The electrodes can detect electrical signals corresponding to brain activity in the P3, Pz, and/or P4 brain regions or other brain regions. A computing device communicatively coupled to the sensor device is configured to receive the physiological data and analyze it to indicate whether the patient has suffered a stroke.

Systems and methods for detecting strokes

In some examples, a device includes at least three electrodes a first pair of electrodes and a second pair of electrodes. The device also includes circuitry configured to generate a first cardiac signal based on a first differential signal received across the first pair, generate a first brain signal based on the first differential signal received across the first pair, generate a second cardiac signal based on a second differential signal received across the second pair, and generate a second brain signal based on the second differential signal received across the second pair. The circuitry is also configured to output a composite cardiac signal based on the first cardiac signal and the second cardiac signal and to output a composite brain signal based on the first brain signal and the second brain signal.

Determining composite signals from at least three electrodes

This disclosure is directed to devices, systems, and techniques for identifying a respiration rate based on an impedance signal. In some examples, a medical device system includes a medical device including a plurality of electrodes. The medical device is configured to perform, using the plurality of electrodes, an impedance measurement to collect a set of impedance values, where the set of impedance values is indicative of a respiration pattern of a patient. Additionally, the medical device system includes processing circuitry configured to identify a set of positive zero crossings based on the set of impedance values, identify a set of negative zero crossings based on the set of impedance values, and determine, for the impedance measurement, a value of a respiration metric using both the set of negative zero crossings and the set of positive zero crossings.

Sensing respiration parameters based on an impedance signal

Provided is an attachment system for coupling a mobile computing device to an optic device. The optic device may be, but is not limited to a scope, binoculars or the like. The attachment system operates with attachment devices and mounting device with apertures that provide a means to couple a mobile computing device to the optic device in such a way that the attachment system provides a line-of-sight between a camera of the mobile computing device with the lens of the optic device. This allows the camera of the mobile computing device to capture images and video using the high power zoom functionality of the optic device and the convenience of the mobile computing device.

Attachment system for coupling a mobile computing device to optics

A medical device system and associated method determine an implantable medical device state prior to implantation. An impedance monitoring module monitors for a change in impedance between a pair of electrodes coupled to the impedance monitoring circuit. The system includes an enclosure for carrying the implantable medical device. The enclosure has a surface having an electrical impedance. A control module is configured to detect one of a first pre-implant state and a second pre-implant state of the implantable medical device in response to the impedance monitoring module detecting a change in impedance between the electrodes and adjust operation of the implantable medical device in response to detecting the impedance change.

Pre-implant detection

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Gilbert, AZ, United States of America

Eric M Christensen