Article
Computer Science, Information Systems
Marco Di Rienzo, Alberto Avolio, Giovannibattista Rizzo, Zeynep Melike Isilay Zeybek, Luisa Cucugliato
Summary: This study investigates the beat-to-beat relationships among Pulse Transit Times (PTTs) and Pulse Arrival Times (PATs) measured from different vascular districts, and their links with continuous blood pressure and isovolumic contraction time. The study finds that PTTs measured at different districts are uncorrelated at rest and during certain stressors. Dynamic exercise induces significant changes in PTTs and synchronizes their modulations. Similar trends are observed in PATs. The study suggests that pulse transit times are influenced by factors other than beat-to-beat blood pressure values.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2022)
Article
Engineering, Biomedical
Sebastian Zaunseder, Antti Vehkaoja, Vincent Fleischhauer, Christoph Hoog Antink
Summary: This study investigates the temporal accuracy of beat-to-beat interval (BBI) estimation from photoplethysmographic signals and finds that sampling rate, signal-to-noise ratio (SNR), and beat-to-beat shape variations impact the accuracy. The findings provide insights into the minimum sampling rates, emphasize the importance of considering SNR and shape variations in investigations, and underline the significance of appropriate processing techniques to increase SNR.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2022)
Article
Chemistry, Analytical
Kee S. Moon, Sung Q. Lee
Summary: Wireless sensing systems play a crucial role in continuous health monitoring and data collection. They enable real-time patient data collection, eliminating the need for time-consuming and expensive hospital or lab visits. This technology utilizes wearable sensors, signal processing, and wireless data transfer to remotely monitor patients' health.
Article
Environmental Sciences
Kefei Liao, Zerui Yu, Ningbo Xie, Junzheng Jiang
Summary: This article proposes a method for joint azimuth and distance estimation of multiple targets based on graph signal processing (GSP), utilizing a fully connected graph signal model and applying the Fourier transform method to solve the estimated response function. The simulation results show that this method outperforms the MUSIC algorithm in azimuth estimation under low signal-to-noise ratio conditions and provides more accurate distance estimation results under any signal-to-noise ratio.
Article
Engineering, Electrical & Electronic
Uzma M. Butt, Shoab A. Khan, Anees Ullah, Abdul Khaliq, Pedro Reviriego, Ali Zahir
Summary: A novel design approach for FPGA implementation of the MUSIC algorithm is proposed in this paper, which significantly reduces both FPGA resources and latency.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2021)
Article
Engineering, Electrical & Electronic
Yanan Du, Hongyuan Gao, Yapeng Liu, Rongchen Sun
Summary: A computationally efficient algorithm for angle estimation of bistatic MIMO radar is proposed in this study, which replaces the cumbersome 2D peak searching process with a multimodal quantum-inspired salp swarm algorithm. This algorithm reduces computational complexity, avoids grid errors, and further exploits the potential of the MUSIC algorithm.
ELECTRONICS LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Yanan Du, Hongyuan Gao, Yapeng Liu, Rongchen Sun
Summary: In this paper, a computationally efficient multimodal quantum-inspired salp swarm algorithm is proposed and applied to the MUSIC algorithm for angle estimation in bistatic MIMO radar. The resulting algorithm significantly reduces computational time, avoids grid errors, and overcomes the contradiction between the computational efficiency and estimation performance of the MUSIC algorithm.
ELECTRONICS LETTERS
(2023)
Article
Mathematics
You-Liang Xie, Che-Wei Lin
Summary: This study presents a low-memory-usage ectopic beat classification convolutional neural network (CNN) (LMUEBCNet) and a correlation-based oversampling (Corr-OS) method for ectopic beat data augmentation. The LMUEBCNet classifier consists of four VGG-based convolution layers and two fully connected layers with the continuous wavelet transform (CWT) spectrogram as input. The Corr-OS method augments synthetic beats using the top K correlation heartbeats for balancing the training set.
Article
Chemistry, Analytical
Kazuki Yoshida, Kazuya Murao
Summary: With wearable devices equipped with various sensors, it is possible to obtain information on human activities, biometrics, and surrounding environments at any time and place. This study proposes a method that estimates the load positions of wearable devices without requiring user-specific actions, and it was proven effective through experiments.
Article
Engineering, Electrical & Electronic
Ziyi Gong, Liang Wu, Zaichen Zhang, Jian Dang, Bingcheng Zhu, Hao Jiang, Geoffrey Ye Li
Summary: This paper introduces a novel scheme for joint TOA and DOA estimation with CFO compensation using large-scale receive antenna arrays. The proposed scheme balances pilot length and estimation performance, providing insights into resolution criteria. Numerical results show that the scheme efficiently eliminates CFO effects and outperforms traditional MDL methods in low SNR conditions.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2021)
Article
Mechanics
L. Draudviliene, O. Tumsys, L. Mazeika, E. Zukauskas
Summary: A novel method is proposed for the evaluation of Lamb waves fundamental modes phase velocity dispersion and reconstruction of these curves segments using only two signals measured at two close points. The method has been experimentally verified to work with extremely high accuracy in different mediums.
COMPOSITE STRUCTURES
(2021)
Article
Environmental Sciences
Xiaoyu Zhang, Haihong Tao, Ziye Fang, Jian Xie
Summary: A new method is proposed in this paper to address the problem of estimating the direction of arrival (DOA) for mixed uncorrelated and correlated wideband signals in multipath environments. By establishing a novel signal model and dividing the estimator into two parts, the accuracy of DOA estimators for correlated wideband sources has been improved.
Article
Biotechnology & Applied Microbiology
Salil Apte, Mathieu Falbriard, Frederic Meyer, Gregoire P. Millet, Vincent Gremeaux, Kamiar Aminian
Summary: Feedback of power during running is a promising tool for training and determining pacing strategies. However, current power estimation methods show low validity and are not customized for running on different slopes. To address this issue, we developed three machine-learning models to estimate peak horizontal power for level, uphill, and downhill running using gait spatiotemporal parameters, accelerometer, and gyroscope signals extracted from foot-worn IMUs. The prediction was compared to reference horizontal power obtained during running on a treadmill with an embedded force plate.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Fan Wu, Fei Cao, Xurong Zhang, Shikun Lu, Yanhong Zhang
Summary: This study proposes a sparse reconstruction algorithm based on a sparse array for the estimation of quasi-stationary signals' direction of arrival (DOA), which aims to improve the DOA estimation performance. The algorithm models the quasi-stationary signal using interleaved array (IA) and utilizes high DOF and large array aperture to estimate angle parameters, achieving a higher number of DOF and improving the accuracy of angle measurement significantly. Numerical simulations validate the effectiveness of the proposed method.
IET RADAR SONAR AND NAVIGATION
(2022)
Article
Engineering, Aerospace
Kaijie Xu, Mengdao Xing, Rui Zhang, Hanyu E, Minghui Sha, Weike Nie, Yinghui Quan
Summary: This article presents a method to improve the performance of DOA estimation in array signal processing using a supervised index. The proposed method enhances the DOA estimation performance by modifying the signal subspace. The main feature of the method is the circularly applied feedback of the estimated DOA for refining the estimated subspace.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)