Spectral Viterbi algorithm for contactless wide-range heart rate estimation with deep clustering
Objective: The main challenge in contactless heartbeat detection comes from breathing
and/or body motion, which typically deteriorate heart rate (HR) measurements, due to …
and/or body motion, which typically deteriorate heart rate (HR) measurements, due to …
[HTML][HTML] Intracardiac ECG pulse localization using overlapping block sparse reconstruction
The processing and analysis of multichannel signals which exhibit some synchronicity is of
critical importance in biomedical signal processing. Though sparse reconstruction of such …
critical importance in biomedical signal processing. Though sparse reconstruction of such …
An efficient method to learn overcomplete multi-scale dictionaries of ECG signals
The electrocardiogram (ECG) was the first biomedical signal for which digital signal
processing techniques were extensively applied. By its own nature, the ECG is typically a …
processing techniques were extensively applied. By its own nature, the ECG is typically a …
Sparse ECG representation with a multi-scale dictionary derived from real-world signals
The electrocardiogram (ECG) was the first biomedical signal where digital signal processing
techniques were extensively applied. By its own nature, the ECG is typically a sparse signal …
techniques were extensively applied. By its own nature, the ECG is typically a sparse signal …
A clustering approach to construct multi-scale overcomplete dictionaries for ECG modeling
The electrocardiogram (ECG) is the main biomedical signal used to diagnose and monitor
cardiac pathologies. A typical ECG is composed of quasi-periodic activations (the QRS …
cardiac pathologies. A typical ECG is composed of quasi-periodic activations (the QRS …
Designing high order low delay maximally flat FIR digital differentiators with equiripple stopband
T Fujikawa, T Yoshida, N Aikawa - 2017 IEEE 60th …, 2017 - ieeexplore.ieee.org
Low delay maximally flat in passband and equiripple in stopband (MFER) FIR Digital
Differentiators (DDs) are known to have high differential accuracy with low delay. The …
Differentiators (DDs) are known to have high differential accuracy with low delay. The …
Overcomplete Multi-scale Dictionaries for Efficient Representation of ECG Signals
The electrocardiogram (ECG) was the first biomedical signal subject of extensive digital
signal processing techniques. Essentially, the ECG consists of a cyclic sequence of relevant …
signal processing techniques. Essentially, the ECG consists of a cyclic sequence of relevant …
[PDF][PDF] DATA COMPRESSION IN REGULAR STRUCTURES FOR PMC DIAGNOSIS MODELS
AE Kovalenko - ОРГАНІЗАТОРИ КОНФЕРЕНЦІЇ - eir.zp.edu.ua
Some important properties of PMC system-level diagnosis model in a self diagnosable
distributed systems are discussed. Fault identification in this system in great extent depends …
distributed systems are discussed. Fault identification in this system in great extent depends …
通過帯域で最大平坦かつ阻止帯域で等リプル基準に基づく低遅延整数次数FIR ディジタル微分器の設計法
相川直幸, 藤川貴浩, 名取隆廣 - 電気学会論文誌C (電子・情報 …, 2021 - jstage.jst.go.jp
抄録 In this paper, we propose a method for designing a low-delay integer-order
differentiators based on maximally flat in the passband and equiripple criteria in the …
differentiators based on maximally flat in the passband and equiripple criteria in the …
漸化式を用いた低遅延低域通過・帯域通過最大平たんFIR n階微分器
國井良介, 相川直幸 - 電子情報通信学会論文誌 A, 2020 - search.ieice.org
直線位相低域通過・帯域通過最大平たん FIR n 階微分器は, 入力信号のノイズを除去しつつ,
特定の周波数近傍において高精度な n 階微分推定が可能であることが知られている. しかしながら …
特定の周波数近傍において高精度な n 階微分推定が可能であることが知られている. しかしながら …