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Since it is the most natural way for people to search a specific melody in large music database, query by humming/singing is attracting more and more researcherspsila attention in the field of content-based music information retrieval. In this task, note-based and frame-based similarity measures are two commonly used methods. However, in previous works,(More)
OBJECTIVE We sought to use the regional homogeneity (ReHo) approach as an index in the resting-state functional MRI to investigate the gender differences of spontaneous brain activity within cerebral cortex and resting-state networks (RSNs) in young adult healthy volunteers. METHODS One hundred and twelve healthy volunteers (56 males, 56 females)(More)
Long term continuous monitoring of electrocardiogram (ECG) in a free living environment provides valuable information for prevention on the heart attack and other high risk diseases. A design of a real-time wearable ECG monitoring system with cardiac arrhythmia classification is proposed in this paper. One of the striking advantages is that ECG analog(More)
Parkinson disease (PD) progresses relentlessly and affects approximately 4% of the population aged over 80 years old. It is difficult to diagnose in its early stages. The purpose of our study is to identify molecular biomarkers for PD initiation using a computational bioinformatics analysis of gene expression. We downloaded the gene expression profile of PD(More)
Long term continuously monitoring of human physical activities in free living environments provides valuable information for a wide range of applications. This paper presents the design and implementation of a Physical Activity Monitoring System (PAMS) that can capture human motions which potentially provide many new types of human health assessment and(More)
Long term continuous monitoring of electrocardiogram (ECG) in a free living environment provides valuable information for prevention on the heart attack and other high risk diseases. This paper presents the design of a real-time wearable ECG monitoring system with associated cardiac arrhythmia classification algorithms. One of the striking advantages is(More)
Compressive sensing is an emerging research field based on the fact that a small number of linear measurements can recover a sparse signal under an orthogonal basis without losing any useful information. Using this approach, the signal can be recovered by a rate that is much lower than the requirement from the well-known Shannon sampling theory. In this(More)