They also record heart activity patterns
when abnormal heart rhythm is detected.
Not exact matches
When sudden cardiac arrest is detected, the device delivers a shock to the
heart to stop the
abnormal heart rhythm, reset the
rhythm, and restore normal blood flow through the body.
«The device detects and protects patients from the dangerous
heart rhythms of sudden cardiac arrest which occurs
when an
abnormal heartbeat makes the
heart stop abruptly and can quickly lead to death,» said Dr. Filart, electrophysiologist.
CHOCOLATE, COFFEE, CAFFEINE These products contain methylxanthines which,
when ingested by pets, can cause vomiting and diarrhea, panting, excessive thirst and urination, hyperactivity,
abnormal heart rhythm, tremors, seizures and even death.
In Boxers
abnormal heart rhythms are often picked up as an incidental finding on routine health exams
when no signs of illness are present.
Electricity can disrupt the normal
heart beat resulting in an arrhythmia (
abnormal heart rhythm) which may cause your dog to collapse, or may even cause cardiac arrest (
when the
heart stops beating).
When ingested, the toxic treat causes panting, vomiting, diarrhea, increased water intake and urinary output, tremors, seizures and
abnormal heart rhythms.
When the kidneys stop working, waste products and electrolytes can build up causing weakness, shortness of breath, lethargy, confusion,
abnormal heart rhythms, and sudden death.
The
heart rate monitors built into the Apple Watch and other wearable devices can detect
abnormal heart rhythms with 97 percent accuracy, according to a new study conducted by the team behind the Cardiogram app for Apple Watch in conjunction with researchers at the University of California, San Francisco.More than 139 million
heart rate and step count measurements were collected from 9,750 users of the Cardiogram app who also enrolled in the UC San Francisco Health eHeart Study, with the data used to train DeepHeart, Cardiogram's deep neural network.Once trained, DeepHeart was able to read
heart rate data collected by wearables, distinguishing between normal
heart rhythm and atrial fibrillation with a 97 percent accuracy rate, both
when testing UCSF patients with known
heart