Results 181 to 190 of about 13,171 (216)
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Recognizing Digitalis Toxicity in Patients With Artificial Pacemakers

Postgraduate Medicine, 1973
In a patient with ventricular rhythm induced by an artificial cardiac pacemaker, the clue to diagnosis of digitalis intoxication lies in electrocardiographic recognition of altered atrial mechanism, particularly the appearance of retrograde P waves. Recognition of ventricular premature contractions is also very important.
Edward K. Chung, Donald K. Chung
openaire   +3 more sources

Guide to the use of Artificial Pacemakers

Postgraduate Medicine, 1972
In comparison with the fixed-rate pacemaker, the demand type of artificial pacemaker has the advantage of avoiding competition between natural and pacemaker rhythms. Demand pacemaker function can be tested with a special external device that temporarily speeds the rate.
openaire   +6 more sources

Accurate Electrocardiographic Measurement of the Rate of Artificial Pacemakers

Annals of Internal Medicine, 1973
Abstract A new method accurately (2 msec, 0.2 beats/minute) measures the cycle length of artificial pacemakers with the conventional electrocardiograph and the 60-Hz AC interference artifact.
John B. Kostis, William Fearn
openaire   +3 more sources

The contribution of artificial pacemaking to understanding the pathogenesis of arrhythmias

The American Journal of Cardiology, 1971
Abstract Right atrial or ventricular pacing was performed on 36 occasions in 26 patients in an attempt to terminate a variety of tachyarrhythmias. Of 16 episodes of atrial flutter, 13 were terminated successfully; in 9 of the 13, sinus rhythm or the patient's pre-flutter rhythm was restored immediately, whereas in 4 patients, intervening atrial ...
openaire   +3 more sources

Artificial channels for confined mass transport at the sub-nanometre scale

Nature Reviews Materials, 2021
Jie Shen, Gong-Ping Liu, Yu Han
exaly  

The use of artificial cardiac pacemakers

American Heart Journal, 1963
John B. Schwedel, Doris J.W. Escher
openaire   +3 more sources

Predicting cancer outcomes with radiomics and artificial intelligence in radiology

Nature Reviews Clinical Oncology, 2021
Kaustav Bera   +2 more
exaly  

Artificial Intelligence Applied to Battery Research: Hype or Reality?

Chemical Reviews, 2022
Teo Lombardo   +2 more
exaly  

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