Zoll Medical Corporation

Siemens Medical Systems, Inc.

Zoll Medical Corpoaration

Frederick J Geheb

Gary A Freeman

Qing Tan

Annemarie Elizabeth Silver

Donald R Boucher

Martin E Bures

James E Brewer

Paolo Giacometti

Lisa M Campana

Guy Robert Johnson

Eric W Brown

Dan M Mihai

Michael Parascandola

Ulrich R Herken

Timothy F Stever

Mark Weary

Michael Joseph Riley

Vladimir Floroff

Michael R Dupelle

Marc Cordaro

David N Craige, Iii

Gideon Butler

Naveed Zaidi

Gary L Hochstettler

Alan F Marcovecchio

Thomas E Kaib

Shane S Volpe

Ziad F Elghazzawi

Daniel M Lisogurski

Frederick W Faller

Richard A Rattanni

Michael L Lopin

Clifford Mark Kelly

C Shane Reid

Deborah T Jones

John C Amann

Frederick K Newey

Gideon D H Butler

Kristin A Spang

Chad Ashmore

Justin R Carroll

Eric A Deines

Jeremy Ryan Soller

Gary Ruggiero

Joseph L Helmick

Michael Scott Martin

Michael Buonadonna

Ward M Hamilton

Michael Maschke

Gary L Hochstetler

Steven Venditti

CShane Reid

Naveed Zaida

David N Iii Craige

Example defibrillator electrode assemblies compression assemblies are described that may be dimensioned and configured for use on a patient despite physical constraints that limit the area or locations on a patient onto which an electrode assembly may be placed. A cardio pulmonary resuscitation (CPR) assembly is also described that protects a patient with a transthoracic incision from further injury during application of CPR compressions proximate to the incision.

Configurable electrodes and sensors

Systems and methods related to the field of cardiac resuscitation, and in particular to devices for assisting rescuers in performing cardio-pulmonary resuscitation (CPR).

Defibrillator charging

A system for assisting a rescuer in providing cardiopulmonary resuscitation (CPR) chest compressions includes a motion sensor configured to generate motion sensor signals indicative of chest motion and a defibrillator. The defibrillator includes a processor and a display screen configured to provide CPR feedback and defibrillation information. The processor is configured to receive the motion sensor signals, analyze the motion sensor signals for features characteristic of a chest compression delivery type to distinguish between chest compression delivery types comprising manual compression, non-automated ACD, and automated ACD, and selectively provide the CPR feedback at the display screen based on an identification of the chest compression delivery type such that the CPR feedback includes a plurality of CPR parameters for the manual compression delivery type and remove at least portions of the CPR parameters from the display screen for the non-automated ACD and the automated ACD compression delivery types.

Automated detection of cardiopulmonary resuscitation chest compressions

An apparatus includes a medical device that includes a cardiopulmonary resuscitation (CPR) treatment feedback device, a memory, and at least one processor and a plurality of electrodes configured to provide at least an electrical impedance signal to the processor. The electrical impedance signal correspond to an electrical impedance measured at a chest of a patient. The processor is configured to receive the electrical impedance signal, process the electrical impedance signal to determine information representative of chest compressions performed by a rescuer on the patient during the CPR treatment of the patient, based on the processing, determine corrective action for the CPR treatment, and provide CPR treatment feedback comprising the corrective action at the CPR treatment feedback device.

Processing impedance signals for breath detection

A remote interface system according to some embodiments includes one or more patient monitoring devices having one or more sensors for patient monitoring, one or more first processors to receive information from the sensors and generate patient data based thereon, a web server, a first communication system, and a first screen to display a representation of at least a first portion of the patient data, and a remote interface device including a second communication system, a second screen, one or more second processors, an application executed by the one or more second processors and configured to detect a presence of the first communication system, establish a communication link between the first and second communication systems, establish a reliable connection channel (e.g. secure websocket connection) with the web server, receive the patient data via the connection, and display at least a second portion of the patient data on the second screen.

Patient monitor screen aggregation

Among other things, we describe a system that includes a first medical device for treating a patient at an emergency care scene, the first medical device including a processor and a memory configured to detect a request for a connection between the first medical device and a second medical device for treating the patient at the emergency care scene, the request for connection including an identifier of the second medical device, responsive to receiving the request for connection, enabling a wireless communication channel to be established between the first medical device and the second medical device based on the identifier of the second medical device and an identifier of the first medical device; and enabling transmission and/or exchange of patient data between the first medical device and the second medical device via the wireless communication channel. Such communications with more than two devices may also be possible.

Establishing secure communication at an emergency care scene

Methods and systems that analyze electrocardiogram (ECG) data to identify whether it would be beneficial for a caregiver to administer an electric shock to the heart in an effort to get the heart back into a normal pattern and a consistent, strong beat. By conducting a running check for conditions that are pre-validated by a comprehensive patient database to have high predictive value (e.g., with a low false-positive rate), a shockable rhythm can be identified fast (e.g., less than 6 seconds, less than 3 seconds, possibly in less than a second) and without having to analyze ECG data for longer time segments than would otherwise be required using conventional methods.

Fast identification of shockable or non-shockable rhythms in ECG data

Systems and methods related to the field of cardiac resuscitation, and in particular to devices for assisting rescuers in performing cardio-pulmonary resuscitation (CPR) are described herein. The system includes a chest compression device having force sensing capabilities, for providing feedback in enhancing the quality of acute care. The force sensor(s) may exhibit varying resolutions over different dynamic force ranges, for example, to provide information helpful to the resuscitative treatment. Chest compression devices that are able to sense force may be able to assist a system in providing accurate chest compression depth and rate information, as well as assess the amount of work exerted by one or more rescuers during the course of resuscitation. Force sensors described herein may employ relatively inexpensive components, such as pressure sensors, emitters, optical detectors, simple circuit boards, springs, compliant/resilient materials, electrically resistive layers, force-sensitive materials, amongst other suitable parts.

Force sensing implementations in cardiopulmonary resuscitation

A feedback device for an acute care provider includes: at least one motion sensor; a haptic output component for providing feedback having a varying haptic pattern to the acute care provider regarding performance of a resuscitation activity; and a controller. The controller can be configured to receive and process a signal representative of performance of the resuscitation activity from the at least one motion sensor, compare the acute care provider's performance of the resuscitation activity to a target performance of the resuscitation activity, and cause the haptic output component to provide haptic feedback to the acute care provider by changing the haptic pattern based, at least in part, on the signal from the at least one motion sensor and the comparison of the acute care provider's performance to the target performance of the resuscitation activity. The device can be adapted to be wrist-worn by the acute care provider.

Wrist-worn device for coordinating patient care

A flow sensor system for ventilation treatment comprises a flow conduit configured to allow gas flow between a first region and a second region, the flow conduit defining a lumen for the gas flow; a flow restrictor disposed within the lumen of the flow conduit between the first region and the second region; a first absolute pressure sensor disposed adjacent to the first region of the flow conduit and configured to measure a pressure of the gas flow at the first region of the flow conduit; and a second absolute pressure sensor disposed adjacent to the second region of the flow conduit and configured to measure pressure of the gas flow at the second region of the flow conduit.

Flow sensor for ventilation

An apparatus for assisting a rescuer in performing chest compressions during CPR on a victim, the apparatus comprising a pad or other structure configured to be applied to the chest near or at the location at which the rescuer applies force to produce the chest compressions, at least one sensor connected to the pad, the sensor being configured to sense movement of the chest or force applied to the chest, processing circuitry for processing the output of the sensor to determine whether the rescuer is substantially releasing the chest following chest compressions, and at least one prompting element connected to the processing circuitry for providing the rescuer with information as to whether the chest is being substantially released following chest compressions.

Method and apparatus for enhancement of chest compressions during CPR

An example of a system for assisting a rescuer in providing CPR includes a motion sensor configured to generate signals indicative of chest motion during CPR chest compressions, and a defibrillator including a display screen configured to provide CPR feedback and defibrillation information and a processor configured to receive the signals, generate a compression waveform based on the signals, detect, in the compression waveform, features characteristic of chest compressions, compare the detected features to a predetermined criterion that distinguishes between manually delivered and compressions delivered by an automated compression device, and selectively provide the CPR feedback based on whether the compressions are the manually delivered or the automated compressions, where the selective provision of the CPR feedback includes displaying CPR parameters for the manually delivered compressions, and a removing from the display screen at least one CPR parameter of the CPR parameters for the automated compressions.

A system and method for aiding in the proper placement of ECG electrodes and other resuscitation parameters. The system includes motion sensors disposed on the ECG electrodes, and a defibrillator control system operable to interpret motion signals from the motions sensors to determine that an electrode is in motion, and thus being handled by rescuer setting up the system for use, and, based on this determination, prompt the rescuer to place the electrode in its intended location on the body of the patient. The control system may also be operable to determine relative motion and/orientation of the motion sensors and control resuscitation based on the relative motion and/orientation of the motion sensors.

ECG and defibrillator electrode detection and tracking system and method

A system for monitoring performance of a resuscitation activity on a patient by an acute care provider is provided. The system includes: a first wearable sensor configured to sense movement of a first portion of an acute care provider's hand; a second wearable sensor configured to sense movement of a second portion of the acute care provider's hand; and a controller. The controller is configured to: receive and process signals representative of performance of a resuscitation activity from the first sensor and the second sensor; identify from the processed signals information indicative of at least one of a relative distance, a relative orientation, a change in relative distance and a change in relative orientation between the first sensor and the second sensor during performance of the resuscitation activity; and determine at least one resuscitation activity parameter based, at least in part, on the identified information.

Wearable sensor devices and systems for patient care

A medical ventilation monitoring system is provided. The system includes: a patient ventilation unit defining an airflow path, and arranged so that when the unit is applied to a patient, the airflow path is in fluid communication with the patient's airway. The patient ventilation unit includes: an airflow sensor positioned to sense the presence of ventilation airflow to or from the patient and a communication link. The system also includes at least one processor arranged to communicate with the ventilation unit by the communication link. The at least one processor is configured to: provide an initial treatment protocol for providing care to the patient, receive data regarding a current condition of the patient from the ventilation unit, and determine an updated treatment protocol. The updated treatment protocol includes applying ventilation at an updated ventilation volume or at an updated ventilation rate based on information from the airflow sensor.

Wireless ventilator reporting

Growing community of inventors

Danvers, MA, United States of America

Frederick J Geheb