Adaptive Electrocardiogram Feature Extraction on Distributed Embedded Systems
نویسندگان
چکیده
منابع مشابه
Distributed Approaches for Self-Adaptive Embedded Systems
In the recent years, there has been a growing interest in self-adaptive embedded systems. Compared to the conventional approach, they require a control loop based on a three-step process: (1) observation, handled by a set of sensors/monitors, (2) diagnosis, which analyzes observed data to adapt and optimize the system, and (3) action, which tunes system parameters accordingly. Putting an additi...
متن کاملInfoFabric: Adaptive Services in Distributed Embedded Systems
The key problems addressed by this work are: (1) how to run high-end applications on embedded systems, (2) how to provide high levels of flexibility in how, where, and when necessary processing and communication actions are performed, and (3) how to continuously meet end-user needs despite run-time variations in service locations, platform capabilities, and user requirements. Our approach addre...
متن کاملOn Distributed Embedded Systems
Thinking of distributed embedded systems (DES)—let alone the more general area of embedded computing—as a unified topic is difficult. Nevertheless, it is a vastly important topic and potentially represents a revolution in information technology (IT). DES is driven by the increasing capabilities and ever-declining costs of computing and communications devices, resulting in networked systems of e...
متن کاملDistributed feature extraction
Time varying simulations are common in many scientific domains to study the evolution of phenomena or features. The data produced in these simulations is massive. Instead of just one dataset of 512 or 1024 (for regular gridded simulations) there could now be hundreds to thousands of timesteps. For datasets with evolving features, feature analysis and visualization tools are crucial to help inte...
متن کاملElectrocardiogram Waveform Feature Extraction Using the Matched Filter
The matched filter was used to detect different signal features on an human heart electrocardiogram signal. The waveform features of interest were the QRS Complex, the R-R intervals, and the ST segments of four different electrocardiogram signals. The detection of the QRS Complex and the R-R interval were compared for accuracy and used in determining the length of the heart beat interval which ...
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: IEEE Transactions on Parallel and Distributed Systems
سال: 2006
ISSN: 1045-9219
DOI: 10.1109/tpds.2006.96