A review on outlier/anomaly detection in time series data

A Blázquez-García, A Conde, U Mori… - ACM computing surveys …, 2021 - dl.acm.org
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 …

Defect detection in SEM images of nanofibrous materials

D Carrera, F Manganini, G Boracchi… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Nanoproducts represent a potential growing sector and nanofibrous materials are widely
requested in industrial, medical, and environmental applications. Unfortunately, the …

Efficient scrub mechanisms for error-prone emerging memories

M Awasthi, M Shevgoor, K Sudan… - … Symposium on High …, 2012 - ieeexplore.ieee.org
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 …

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 …

Online anomaly detection for long-term ECG monitoring using wearable devices

D Carrera, B Rossi, P Fragneto, G Boracchi - Pattern Recognition, 2019 - Elsevier
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 …

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 …

Domain adaptation for online ecg monitoring

D Carrera, B Rossi, P Fragneto… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Successful ECG monitoring algorithms often rely on learned models to describe the
heartbeats morphology. Unfortunately, when the heart rate increases the heartbeats get …

Generating high-dimensional datastreams for change detection

D Carrera, G Boracchi - Big data research, 2018 - Elsevier
A popular testbed for change-detection algorithms consists in detecting changes that have
been synthetically injected in real-world datastreams. Unfortunately, most of experimental …

[PDF][PDF] A Wearable Device for Online and Long-Term ECG Monitoring.

M Longoni, D Carrera, B Rossi, P Fragneto… - IJCAI, 2018 - researchgate.net
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 …