Probabilistic data fusion model for heart beat detection from multimodal physiological data
نویسندگان
چکیده
منابع مشابه
Probabilistic data fusion model for heart beat detection from multimodal physiological data
Automatic detection of heart beats constitutes the basis for electrocardiogram (ECG) analysis and mainly relies on detecting QRS complexes. Detection is typically performed by analyzing the ECG signal. However, when signal quality is low, it often leads to the triggering of false alarms. A contemporary approach to reduce false alarm rate is to use multimodal data such as arterial blood pressure...
متن کاملA Generative Model for Probabilistic Label Fusion of Multimodal Data
The maturity of registration methods, in combination with the increasing processing power of computers, has made multi-atlas segmentation methods practical. The problem of merging the deformed label maps from the atlases is known as label fusion. Even though label fusion has been well studied for intramodality scenarios, it remains relatively unexplored when the nature of the target data is mul...
متن کاملProbabilistic Model-Based Approach for Heart Beat Detection
Nowadays, hospitals are ubiquitous and integral to modern society. Patients flow in and out of a veritable whirlwind of paperwork, consultations, and potential inpatient admissions, through an abstracted system that is not without flaws. One of the biggest flaws in the medical system is perhaps an unexpected one: the patient alarm system. One longitudinal study reported an 88.8% rate of false a...
متن کاملFusion of Multimodal Nde Data for Improved Corrosion Detection
Corrosion is a significant maintenance problem, especially for aging aircrafts, with the Air Force recently estimating corrosion maintenance costs exceeding $800M per year. Nondestructive evaluation (NDE) techniques can be used to detect corrosion under paint and hidden within layered structures. However, it is difficult to capture a comprehensive picture of the corrosion environment using any ...
متن کاملA suitable data model for HIV infection and epidemic detection
Background: In recent years, there has been an increase in the amount and variety of data generated in the field of healthcare, (e.g., data related to the prevalence of contagious diseases in the society). Various patterns of individuals’ relationships in the society make the analysis of the network a complex, highly important process in detecting and preventing the incidence of diseases....
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES
سال: 2017
ISSN: 1300-0632,1303-6203
DOI: 10.3906/elk-1504-200