Assessment of a standalone photoplethysmography (PPG) algorithm for detection of atrial fibrillation on wristband-derived data.

Introduction: Atrial fibrillation (AF) is the most common cardiac arrhythmia in the developed world. Using photoplethysmography (PPG) and software algorithms, AF can be detected with high accuracy using smartphone camera-derived data. However, reports of diagnostic accuracy of standalone algorithms using wristband-derived PPG data are sparse, while this provides a means to perform long-term AF screening and monitoring.

Correction to: A mobile one-lead ECG device incorporated in a symptom-driven remote arrhythmia monitoring program. The first 5,982 Hartwacht ECGs.

Correction to: Neth Heart J 2018 https://doi.org/10.1007/s12471-018-1203-4 Unfortunately the original version of this article did not reflect that J.

A mobile one-lead ECG device incorporated in a symptom-driven remote arrhythmia monitoring program. The first 5,982 Hartwacht ECGs.

Background: In recent years many mobile devices able to record health-related data in ambulatory patients have emerged. However, well-organised programs to incorporate these devices are sparse. Hartwacht Arrhythmia (HA) is such a program, focusing on remote arrhythmia detection using the AliveCor Kardia Mobile (KM) and its algorithm.

Absence of evidence for enhanced benefit of antibiotic therapy on recurrent acute rhinosinusitis episodes: a systematic review of the evidence base.

Objective: To systematically review the evidence base on the effectiveness of short-course antibiotic therapy in adult patients with a recurrent episode of acute rhinosinusitis as part of a disease pattern on severity and duration of symptoms and recurrences.

Data Sources: PubMed, EMBASE, and the Cochrane Library.

Review Methods: A comprehensive search was performed up to March 21, 2013.