Continuous Atrial Fibrillation Monitoring From Photoplethysmography: Comparison Between Supervised Deep Learning and Heuristic Signal Processing.

Background: Continuous monitoring for atrial fibrillation (AF) using photoplethysmography (PPG) from smartwatches or other wearables is challenging due to periods of poor signal quality during motion or suboptimal wearing. As a result, many consumer wearables sample infrequently and only analyze when the user is at rest, which limits the ability to perform continuous monitoring or to quantify AF.

Objectives: This study aimed to compare 2 methods of continuous monitoring for AF in free-living patients: a well-validated signal processing (SP) heuristic and a convolutional deep neural network (DNN) trained on raw signal.

[Solitary fibrous tumor of the scalp: a case report].

The solitary fibrous tumor is a rare tumor, ubiquitous, mesenchymatous essentially affecting serosal surfaces. The location in the scalp is exceptional. We report a case of tumor in left occipital scalp discovered after recurrence of a tumor initially taken for a lipoma.