Dynamic graph structure learning for multivariate time series forecasting
ZL Li, GW Zhang, J Yu, LY Xu - Pattern Recognition, 2023 - Elsevier
Multivariate time series forecasting is a challenging task because the dynamic spatio-
temporal dependencies between variables are a combination of multiple unknown …
temporal dependencies between variables are a combination of multiple unknown …
Lossless electrocardiogram signal compression: A review of existing methods
Abstract Background Cardiovascular diseases (CVDs) are among one of the leading causes
of death in the world today. Electrocardiography (ECG) is commonly used to monitor and …
of death in the world today. Electrocardiography (ECG) is commonly used to monitor and …
A novel Blaschke unwinding adaptive-Fourier-decomposition-based signal compression algorithm with application on ECG signals
This paper presents a novel signal compression algorithm based on the Blaschke
unwinding adaptive Fourier decomposition (AFD). The Blaschke unwinding AFD is a newly …
unwinding adaptive Fourier decomposition (AFD). The Blaschke unwinding AFD is a newly …
Study of Energy-Efficient Biomedical Data Compression Methods in the Wireless Body Area Networks (WBANs) and Remote Healthcare Networks
S Ahmadzadeh - International Journal of Wireless Information Networks, 2023 - Springer
Abstract Wireless Body Area Network (WBAN) is a wireless network of short-range
communication protocols for remote healthcare monitoring with the possibility of giving …
communication protocols for remote healthcare monitoring with the possibility of giving …
Wireless EEG system achieving high throughput and reduced energy consumption through lossless and near-lossless compression
This work presents a wireless multichannel electroencephalogram (EEG) recording system
featuring lossless and near-lossless compression of the digitized EEG signal. Two novel …
featuring lossless and near-lossless compression of the digitized EEG signal. Two novel …
A simple and efficient near-lossless compression algorithm for multichannel EEG systems
G Campobello, G Gugliandolo… - 2021 29th European …, 2021 - ieeexplore.ieee.org
The research work presented in this paper focuses on a novel near-lossless compression
algorithm which can be efficiently used for compression of electroencephalograph (EEG) …
algorithm which can be efficiently used for compression of electroencephalograph (EEG) …
Method for hosting mobile access to high-resolution electroencephalography data
A Gunasekar, G Braun, Z Nadasdy - US Patent 11,432,757, 2022 - Google Patents
One variation of a method for hosting mobile access to dense electroencephalography data
includes: receiving a set of signals, in a raw resolution, recorded by a set of channels in an …
includes: receiving a set of signals, in a raw resolution, recorded by a set of channels in an …
Neurophysiology Signal Codecs for the DICOM® Standard: Preliminary Results
In this paper we report experimental results on compression of neurophysiology signals
obtained as part of the standardization activities conducted by the Working Group 32 (WG …
obtained as part of the standardization activities conducted by the Working Group 32 (WG …
Wearable EEG via lossless compression
This work presents a wearable multi-channel EEG recording system featuring a lossless
compression algorithm. The algorithm, based in a previously reported algorithm by the …
compression algorithm. The algorithm, based in a previously reported algorithm by the …
Graph-Based EEG Signal Compression for Human-Machine Interaction
T Fujihashi, T Koike-Akino - IEEE Access, 2023 - ieeexplore.ieee.org
Communication of bioelectric signals, such as electroencephalography (EEG) signals, will
be a key technology for smooth interaction between users and remote robots. The existing …
be a key technology for smooth interaction between users and remote robots. The existing …