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A review on outlier/anomaly detection in time series data
Recent advances in technology have brought major breakthroughs in data collection,
enabling a large amount of data to be gathered over time and thus generating time series …
enabling a large amount of data to be gathered over time and thus generating time series …
Defect detection in SEM images of nanofibrous materials
Nanoproducts represent a potential growing sector and nanofibrous materials are widely
requested in industrial, medical, and environmental applications. Unfortunately, the …
requested in industrial, medical, and environmental applications. Unfortunately, the …
Efficient scrub mechanisms for error-prone emerging memories
Many memory cell technologies are being considered as possible replacements for DRAM
and Flash technologies, both of which are nearing their scaling limits. While these new cells …
and Flash technologies, both of which are nearing their scaling limits. While these new cells …
Extracting cardiac dynamics within ECG signal for human identification and cardiovascular diseases classification
M Deng, C Wang, M Tang, T Zheng - Neural Networks, 2018 - Elsevier
Cardiac characteristics underlying the time/frequency domain features are limited and not
comprehensive enough to reflect the temporal/dynamical nature of ECG patterns. This paper …
comprehensive enough to reflect the temporal/dynamical nature of ECG patterns. This paper …
Online anomaly detection for long-term ECG monitoring using wearable devices
Many successful algorithms for analyzing ECG signals leverage data-driven models that are
learned for each specific user. Unfortunately, a few algorithmic challenges are still to be …
learned for each specific user. Unfortunately, a few algorithmic challenges are still to be …
An overview of healthcare monitoring by flexible electronics
JQ Hu, R Li, Y Liu, YW Su - Science China Physics, Mechanics & …, 2018 - Springer
Flexible electronics integrated with stretchable/bendable structures and various
microsensors that monitor the temperature, pressure, sweat, bioelectricity, body hydration …
microsensors that monitor the temperature, pressure, sweat, bioelectricity, body hydration …
A personalized zero-shot ecg arrhythmia monitoring system: From sparse representation based domain adaption to energy efficient abnormal beat detection for …
This paper proposes a low-cost and highly accurate ECG-monitoring system intended for
personalized early arrhythmia detection for wearable mobile sensors. Earlier supervised …
personalized early arrhythmia detection for wearable mobile sensors. Earlier supervised …
Domain adaptation for online ecg monitoring
Successful ECG monitoring algorithms often rely on learned models to describe the
heartbeats morphology. Unfortunately, when the heart rate increases the heartbeats get …
heartbeats morphology. Unfortunately, when the heart rate increases the heartbeats get …
Generating high-dimensional datastreams for change detection
A popular testbed for change-detection algorithms consists in detecting changes that have
been synthetically injected in real-world datastreams. Unfortunately, most of experimental …
been synthetically injected in real-world datastreams. Unfortunately, most of experimental …
[PDF][PDF] A Wearable Device for Online and Long-Term ECG Monitoring.
We present a prototype wearable device able to perform online and long-term monitoring of
ECG signals, and automaticallydetect anomalous heartbeats such as arrhythmias. Our …
ECG signals, and automaticallydetect anomalous heartbeats such as arrhythmias. Our …