Abstract: A patient monitoring system for improved thoracic fluid measurement from a patient is provided. The system includes therefrom. The system also includes a remote server including a memory and a processor configured to receive the RF value(s), retrieve weighting parameter(s), and apply the weighting parameter(s) to the RF value(s) to determine and output an amount of thoracic fluid. The weighting parameter(s) is determined by a clinical modality process including receiving reference thoracic fluid information for a patient population, producing RF-based thoracic fluid information for the patient population, and deriving the weighting parameter(s) by optimizing an association of the RF-based thoracic fluid information with the reference thoracic fluid information.

Abstract: Systems, methods, and computer program products identify arrhythmias experienced by a patient. A system includes an external wearable heart monitoring device for continuous and long-term monitoring of a patient that includes electrocardiogram (ECG) electrodes and circuitry to sense surface ECG activity and provide ECG channel(s) producing ECG signal(s), a non-transitory computer-readable medium including an arrhythmia classifier including neural network(s), and processor(s). The neural network(s) are trained based on a historical collection of ECG signal portions with annotation data including at least one annotation for each ECG signal portion and based on weight data including a weight for each annotation based on the annotator thereof. The processor(s) receive the ECG signal(s), monitor the ECG signal(s) to detect at least one arrhythmia event based on the arrhythmia classifier, and transmit at least one communication based on the arrhythmia event(s) to a remote computer system.