Unsupervised ensembling of multiple software sensors with phase synchronization: a robust approach for electrocardiogram-derived respiration.

We aimed to fuse the outputs of different electrocardiogram-derived respiration (EDR) algorithms to create one higher quality EDR signal.We viewed each EDR algorithm as a software sensor that recorded breathing activity from a different vantage point, identified high-quality software sensors based on the respiratory signal quality index, aligned the highest-quality EDRs with a phase synchronization technique based on the graph connection Laplacian, and finally fused those aligned, high-quality EDRs. We refer to the output as the sync-ensembled EDR signal.

Is the Median Hourly Ambulatory Heart Rate Range Helpful in Stratifying Mortality Risk among Newly Diagnosed Atrial Fibrillation Patients?

The application of heart rate variability is problematic in patients with atrial fibrillation (AF). This study aims to explore the associations between all-cause mortality and the median hourly ambulatory heart rate range (AHRR˜24hr) compared with other parameters obtained from the Holter monitor in patients with newly diagnosed AF. A total of 30 parameters obtained from 521 persistent AF patients' Holter monitor were analyzed retrospectively from 1 January 2010 to 31 July 2014.

Interpretable morphological features for efficient single-lead automatic ventricular ectopy detection.

Objective: We designed an automatic, computationally efficient, and interpretable algorithm for detecting ventricular ectopic beats in long-term, single-lead electrocardiogram recordings.

Methods: We built five simple, interpretable, and computationally efficient features from each cardiac cycle, including a novel morphological feature which described the distance to the median beat in the recording. After an unsupervised subject-specific normalization procedure, we trained an ensemble binary classifier using the AdaBoost algorithm RESULTS: After our classifier was trained on subset DS1 of the Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) Arrhythmia database, our classifier obtained an F1 score of 94.

An adaptive QRS detection algorithm for ultra-long-term ECG recordings.

Background: Accurate detection of QRS complexes during mobile, ultra-long-term ECG monitoring is challenged by instances of high heart rate, dramatic and persistent changes in signal amplitude, and intermittent deformations in signal quality that arise due to subject motion, background noise, and misplacement of the ECG electrodes.

Purpose: We propose a revised QRS detection algorithm which addresses the above-mentioned challenges.

Methods And Results: Our proposed algorithm is based on a state-of-the-art algorithm after applying two key modifications.

Sleep-wake classification via quantifying heart rate variability by convolutional neural network.

Objective: Fluctuations in heart rate are intimately related to changes in the physiological state of the organism. We exploit this relationship by classifying a human participant's wake/sleep status using his instantaneous heart rate (IHR) series.

Approach: We use a convolutional neural network (CNN) to build features from the IHR series extracted from a whole-night electrocardiogram (ECG) and predict every 30 s whether the participant is awake or asleep.

Single-lead f-wave extraction using diffusion geometry.

Objective: A novel single-lead f-wave extraction algorithm based on the modern diffusion geometry data analysis framework is proposed.

Approach: The algorithm is essentially an averaged beat subtraction algorithm, where the ventricular activity template is estimated by combining a newly designed metric, the 'diffusion distance', and the non-local Euclidean median based on the non-linear manifold setup. We coined the algorithm [Formula: see text].

Clinical usage and influence of radiographs in the assessment of hallux valgus.

It has been assumed that radiographs are consistently used in the preoperative evaluation of hallux valgus; however, little information is available to support this assumption. To investigate the frequency of use and clinical utility of radiographs in the assessment of hallux valgus, an online survey was completed by 28 podiatrists in UK departments of podiatric surgery. Radiographs were used in the assessment of hallux valgus in all departments.