Abstract:
A non-invasive bodily-attached ambulatory medical monitoring and treatment device with pacing is provided. The noninvasive ambulatory pacing device includes a battery, at least one therapy electrode coupled to the battery, a memory storing information indicative of a patient's cardiac activity, and at least one processor coupled to the memory and the at least one therapy electrode. The at least one processor is configured to identify a cardiac arrhythmia within the information and execute at least one pacing routine to treat the identified cardiac arrhythmia.
Abstract:
According to some embodiments , a wearable medical device capable of treating a patient presenting with syncope is provided. The wearable medical device includes a memory storing event profile information a battery , at least one treatment electrode coupled to the battery , at least one processor coupled to the memory and the at least one treatment electrode , and an event manager executed by the at least one processor. The event manager is configured to detect an event associated with syncope; store , in the memory , data descriptive of the event in association with an indication that the data includes data descriptive of a syncopal event; and address the event.
Abstract:
A non- invasive bodily -attached ambulatory medical monitoring and treatment device with pacing is provided. The noninvasive ambulatory pacing device includes a battery , at least one therapy electrode coupled to the battery , a memory storing information indicative of a patient' s cardiac activity , and at least one processor coupled to the memory and the at least one therapy electrode. The at least one processor is configured to identify a cardiac arrhythmia within the information and execute at least one pacing routine to treat the identified cardiac arrhythmia.
Abstract:
A support garment for a patient-worn energy delivery apparatus. A vest-type garment holds an electrode belt in contact with a wearer's ribcage. A removable electrode harness may be attachable to the support garment to accurately position sensing electrodes on the body of the wearer and energy delivery electrodes for transfer of an electrode therapy pulse to the wearer of the garment. The chest garment includes adjustable shoulder straps and a band to accommodate any body size or shape. One-sided assembly and coding of components facilitates use by a patient. A technique for sizing the support garment is also disclosed.
Abstract:
A non-invasive bodily-attached ambulatory medical monitoring and treatment device with pacing is provided. The noninvasive ambulatory pacing device includes a battery, at least one therapy electrode coupled to the battery, a memory storing information indicative of a patient's cardiac activity, and at least one processor coupled to the memory and the at least one therapy electrode. The at least one processor is configured to identify a cardiac arrhythmia within the information and execute at least one pacing routine to treat the identified cardiac arrhythmia.
Abstract:
According to some embodiments, a wearable medical device capable of treating a patient presenting with syncope is provided. The wearable medical device includes a memory storing event profile information, a battery, at least one treatment electrode coupled to the battery, at least one processor coupled to the memory and the at least one treatment electrode, and an event manager executed by the at least one processor. The event manager is configured to detect an event associated with syncope; store, in the memory, data descriptive of the event in association with an indication that the data includes data descriptive of a syncopal event; and address the event.
Abstract:
A system and method for medical premonitory event estimation includes one or more processors to perform operations comprising: acquiring a first set of physiological information of a subject, and a second set of physiological information of the subject received during a second period of time; calculating first and second risk scores associated with estimating a risk of a potential cardiac arrhythmia event for the subject based on applying the first and second sets of physiological information to one or more machine learning classifier models, providing at least the first and second risk scores associated with the potential cardiac arrhythmia event as a time changing series of risk scores, and classifying the first and second risk scores associated with estimating the risk of the potential cardiac arrhythmia event for the subject based on the one or more thresholds.
Abstract:
At least one aspect is directed to a wearable treatment device that includes a cardiac sensing electrode, a treatment electrode, a user interface, and a sensor. The cardiac sensing electrode detects cardiac information, and the treatment electrode applies treatment to the subject. The user interface receives quality of life information from the subject, and the sensor detects subject activity and wellness information. A controller coupled with the cardiac sensing electrode, the treatment electrode, the user interface, and the sensor receives the detected cardiac information, the quality of life information, and the detected subject activity and wellness information, and determines that treatment is to be applied to the body of the subject based upon the detected cardiac information. The controller can also adjust the treatment based on at least one of the detected subject activity and wellness information and the quality of life information, and an alarm module provides an alarm after the cardiac information is detected and before the treatment is applied to the body of the subject.