Medtronic Monitoring, Inc.

Scott Williams

Rodolphe Katra

Niranjan Chakravarthy

Arthur Lai

Abhi Chavan

Brion C Finlay

Brett A Landrum

Jonathan Engel

Thomas Piaget

Senthil Swaminathan

Rao Gudivada

Matthew Edelman

Richard Fogoros

A method of determining signal quality in a patient monitoring device includes acquiring one or more signals using the patient monitoring device. One or more signal quality metrics are determined based on the one or more acquired signals. A noise condition is detected based on the one or more signal quality metrics, and a determination is made whether the noise condition should be classified as intermittent or persistent. One or more actions are taken based on the classification of detected noise as intermittent or persistent.

System and method of patient monitoring and signal quality analysis

A medical device is utilized to monitor physiological parameters of a patient and capture segments of the monitored physiological parameters. The medical device includes circuitry configured to monitor one or more physiological parameters associated with the patient and an analysis module that includes a buffer and a processor. The buffer stores monitored physiological parameters and the processor analyzes the monitored physiological parameters and triggers capture of segments from the buffer in response to a triggering criteria being satisfied. The analysis module selects a pre-trigger duration based at least in part on the triggering criteria.

System and method for onset/offset capture

Described herein is a system and method of automatically monitoring QT intervals in a patient based on one or more EKG signals received from attached monitoring devices. Each EKG signal is analyzed to detect attributes of the first and second EKG signals, including QRS onset information, QRS peak information, and T-wave offset information. A QT interval is calculated based on QRS onset information derived from the first EKG signal and T-wave offset information derived from the second EKG signal. The calculated QT interval is compared to thresholds to detect elongation of the QT interval and an alert is generated in response to a detected elongated QT interval.

QT interval determination methods and related devices

A patient monitoring device includes reusable and disposable portions. The disposable portion includes two or more electrodes for coupling to the skin of the patient, a battery, and a first set of electrical contacts. The reusable portion includes a processor, memory, a second set of electrical contacts, and sensing circuitry coupled to the at least two electrodes, wherein the reusable portion is mechanically coupleable to the disposable portion and wherein the reusable portion is electrically coupleable to the disposable portion through the first and second electrical contacts. The sensing circuitry and the processor are powered from the battery through the coupled first and second electrical contacts, and wherein when the reusable portion and the disposable portion are mechanically uncoupled after having been mechanically coupled, the disposable portion is rendered unusable by the process of mechanically uncoupling the reusable portion and the disposable portion.

Separable monitoring device and method

Embodiments of the present disclosure describe a method of monitoring a patient comprising generating an accelerometer signal of a patient via a patient medical device and capturing and sampling the accelerometer signal at a sampling rate that utilizes non-regular timing intervals. Embodiments further describe a patient medical device comprising sensors for monitoring an accelerometer signal of a patient and circuitry for sampling the accelerometer signal at a sampling rate that utilizes non-regular timing intervals. Embodiments also describe a method of processing physiological signals comprising monitoring ECG signals and accelerometer signals of a patient via a patient medical device and capturing an ECG segment and sampling the accelerometer signal at a sampling rate that utilizes non-regular timing intervals.

System and methods of processing accelerometer signals

Systems and methods for management of physiological data, for example data obtained from monitoring an electrocardiogram signal of a patient. In one example use, digital data is obtained and episodes of arrhythmias are detected. Snapshots of the digitized ECG signal may be stored for later physician review. One or more techniques may be used to avoid recording of redundant data, while ensuring that at least a minimum number of episodes of each detected arrhythmia can be stored. The system may automatically tailor its data collection to the cardiac characteristics of a particular patient. In one technique, memory is allocated to include for each detectable arrhythmia a memory segment designated to receive ECG snapshots representing only the respective arrhythmia. A shared memory pool may receive additional snapshots of as the designated memory segments fill.

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Minneapolis, MN, United States of America

Scott Williams