Publications by authors named "Deepa Mahajan"

Remote device programming may enable workflow efficiencies and reduce resource strains on clinics as well as patients. Although the remote patient management ecosystem has evolved, several challenges remain, and the role of remote device programming for an insertable cardiac monitor (ICM) has yet to be described in a real-world setting. The purpose of this study was to characterize the initial real-world use of remote programming of an ICM.

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Introduction: The third-generation subcutaneous implantable cardioverter-defibrillator (S-ICD) (EMBLEMâ„¢ A219, Boston Scientific) contains a new diagnostic tool to detect atrial fibrillation (AF) in S-ICD patients, without the use of an intracardiac lead. This is the first study to evaluate the performance of the S-ICD AF monitor (AFM).

Methods: The AFM algorithm analyzes a subcutaneous signal for the presence of AF, similar to the signals collected by implantable and wearable diagnostic devices.

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Background: The purpose of this study was to evaluate the effect of surface treatment of fiber-reinforce post and metal post of adhesion of a resin luting cement.

Materials And Methods: Sixty methyl methacrylate specimens were fabricated with a customized metal rod. The samples were segregated into six groups (F1, F2, F3, M1, M2, and M3) of 10 specimens ( = 10) each.

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Introduction: The subcutaneous ICD system (S-ICD) has been shown to be a safe and effective treatment for patients at risk for sudden cardiac death. This device reliably detects ventricular tachyarrhythmias with a low incidence of inappropriate shocks for supraventricular arrhythmias. However, T-wave oversensing (TWOS) is more common with the S-ICD compared with transvenous systems.

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Introduction: Adjudication of thousands of implantable cardioverter defibrillator (ICD)-treated arrhythmia episodes is labor intensive and, as a result, is most often left undone. The objective of this study was to evaluate an automatic classification algorithm for adjudication of ICD-treated arrhythmia episodes.

Methods: The algorithm uses a machine learning algorithm and was developed using 776 arrhythmia episodes.

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Objective: To determine the feasibility (safety, potential efficacy and cost effectiveness) of a miniature endoscopic bipolar electrosurgical intrauterine system in the treatment of symptomatic submucous fibroids.

Study Design: A total of 37 women with symptomatic submucous fibroids were identified on outpatient hysteroscopy. All underwent hysteroscopic excision or ablation using a bipolar intrauterine system (Versapoint).

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