Jilong Kuang

TL;DR: In this paper, an end-to-end deep learning architecture using public cough sound datasets was proposed to detect coughs within raw audio recordings. But due to limited lung health data, the authors have difficulty in collecting both cough sounds and lung health condition ground truth.

TL;DR: This work tries to provide an objective comprehensive approach for cough type detection using an extensive set of acoustic features applied to the recorded audio from a relatively large population of both healthy subjects and patient with various pulmonary diseases and healthy controls.

TL;DR: In this paper, a hierarchical heap allocator system comprises a system-level allocator for monitoring run-time resource usage information for an application having multiple application threads, and a process-level allocation mechanism for dynamically balancing resources between the application threads based on the runtime resource usage.

TL;DR: In this article, a commercial smartwatch with photoplethysmography (W-PPG) and electrocardiogram (WECG) capabilities was used for continuous detection of atrial fibrillation from sinus rhythm in a free-living setting.

TL;DR: An exploration of the feasibility of using speech features from natural speech to detect pulmonary disease is presented and patients and healthy subjects were differentiable with 68% accuracy; moreover, the subset of patients with the highest disease severity were detected with 89% accuracy.