A systematic review of collective tactical behaviours in football using positional data

B Low, D Coutinho, B Gonçalves, R Rein, D Memmert… - Sports Medicine, 2020 - Springer
Background Performance analysis research in association football has recently cusped a
paradigmatic shift in the way tactical behaviours are studied. Based on insights from system …

Alzheimer's disease and automatic speech analysis: a review

MLB Pulido, JBA Hernández, MÁF Ballester… - Expert systems with …, 2020 - Elsevier
The objective of this paper is to present the state of-the-art relating to automatic speech and
voice analysis techniques as applied to the monitoring of patients suffering from Alzheimer's …

Multistage state of health estimation of lithium-ion battery with high tolerance to heavily partial charging

Z Wei, H Ruan, Y Li, J Li, C Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
State of health (SOH) is critical to the management of lithium-ion batteries (LIBs) due to its
deep insight into health diagnostic and protection. However, the lack of complete charging …

Impact of drought and heat stress individually and in combination on physio-biochemical parameters, antioxidant responses, and gene expression in Solanum …

V Raja, SU Qadir, MN Alyemeni, P Ahmad - 3 Biotech, 2020 - Springer
The present study was carried out to investigate the effect of individual drought, heat, and
combined drought and heat stress on tomato plants. Combined stress resulted in the higher …

Feature extraction and selection for myoelectric control based on wearable EMG sensors

A Phinyomark, R N. Khushaba, E Scheme - Sensors, 2018 - mdpi.com
Specialized myoelectric sensors have been used in prosthetics for decades, but, with recent
advancements in wearable sensors, wireless communication and embedded technologies …

Ultra-short term HRV features as surrogates of short term HRV: A case study on mental stress detection in real life

R Castaldo, L Montesinos, P Melillo, C James… - BMC medical informatics …, 2019 - Springer
Background This paper suggests a method to assess the extent to which ultra-short Heart
Rate Variability (HRV) features (less than 5 min) can be considered as valid surrogates of …

Heart rate variability-based driver drowsiness detection and its validation with EEG

K Fujiwara, E Abe, K Kamata… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Objective: Driver drowsiness detection is a key technology that can prevent fatal car
accidents caused by drowsy driving. The present work proposes a driver drowsiness …

Sleep stage classification from heart-rate variability using long short-term memory neural networks

M Radha, P Fonseca, A Moreau, M Ross, A Cerny… - Scientific reports, 2019 - nature.com
Automated sleep stage classification using heart rate variability (HRV) may provide an
ergonomic and low-cost alternative to gold standard polysomnography, creating possibilities …

Entropy measures in machine fault diagnosis: Insights and applications

Z Huo, M Martínez-García, Y Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Entropy, as a complexity measure, has been widely applied for time series analysis. One
preeminent example is the design of machine condition monitoring and industrial fault …

On the use of approximate entropy and sample entropy with centre of pressure time-series

L Montesinos, R Castaldo, L Pecchia - Journal of neuroengineering and …, 2018 - Springer
Abstract Background Approximate entropy (ApEn) and sample entropy (SampEn) have been
previously used to quantify the regularity in centre of pressure (COP) time-series in different …