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A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability
A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability
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A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability

Awais, Muhammad ; Badruddin, Nasreen ; Drieberg, Micheal

Sensors (Basel, Switzerland), 2017-08, Vol.17 (9), p.1991 [Periódico revisado por pares]

Switzerland: MDPI AG

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A novel methodology for human thermal comfort decoding via physiological signals measurement and analysis
A novel methodology for human thermal comfort decoding via physiological signals measurement and analysis
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A novel methodology for human thermal comfort decoding via physiological signals measurement and analysis

Mansi, Silvia Angela ; Pigliautile, Ilaria ; Arnesano, Marco ; Pisello, Anna Laura

Building and environment, 2022-08, Vol.222, p.109385, Article 109385 [Periódico revisado por pares]

Elsevier Ltd

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3
An efficient automated technique for CAD diagnosis using flexible analytic wavelet transform and entropy features extracted from HRV signals
An efficient automated technique for CAD diagnosis using flexible analytic wavelet transform and entropy features extracted from HRV signals
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An efficient automated technique for CAD diagnosis using flexible analytic wavelet transform and entropy features extracted from HRV signals

Kumar, Mohit ; Pachori, Ram Bilas ; Rajendra Acharya, U.

Expert systems with applications, 2016-11, Vol.63, p.165-172 [Periódico revisado por pares]

Elsevier Ltd

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4
Heart Rate Variability in Psychology: A Review of HRV Indices and an Analysis Tutorial
Heart Rate Variability in Psychology: A Review of HRV Indices and an Analysis Tutorial
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Heart Rate Variability in Psychology: A Review of HRV Indices and an Analysis Tutorial

Pham, Tam ; Lau, Zen Juen ; Chen, S H Annabel ; Makowski, Dominique

Sensors (Basel, Switzerland), 2021-06, Vol.21 (12), p.3998 [Periódico revisado por pares]

Switzerland: MDPI AG

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5
Automated analysis of finger blood pressure recordings provides insight in determinants of baroreflex sensitivity and heart rate variability—the HELIUS study
Automated analysis of finger blood pressure recordings provides insight in determinants of baroreflex sensitivity and heart rate variability—the HELIUS study
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Automated analysis of finger blood pressure recordings provides insight in determinants of baroreflex sensitivity and heart rate variability—the HELIUS study

Collard, D. ; Westerhof, B. E. ; Karemaker, J. M. ; Stok, W. J. ; Postema, P. G. ; Krediet, C. T. P. ; Vogt, L. ; van den Born, B. J. H.

Medical & biological engineering & computing, 2023-05, Vol.61 (5), p.1183-1191 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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Investigation of Three Potential Stress Inducement Tasks During On-Road Driving
Investigation of Three Potential Stress Inducement Tasks During On-Road Driving
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Investigation of Three Potential Stress Inducement Tasks During On-Road Driving

Mathissen, Marcel ; Hennes, Nikica ; Faller, Fabian ; Leonhardt, Steffen ; Teichmann, Daniel

IEEE transactions on intelligent transportation systems, 2022-05, Vol.23 (5), p.4823-4832 [Periódico revisado por pares]

IEEE

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7
Kubios HRV – Heart rate variability analysis software
Kubios HRV – Heart rate variability analysis software
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Kubios HRV – Heart rate variability analysis software

Tarvainen, Mika P ; Niskanen, Juha-Pekka ; Lipponen, Jukka A ; Ranta-aho, Perttu O ; Karjalainen, Pasi A

Computer methods and programs in biomedicine, 2014-01, Vol.113 (1), p.210-220 [Periódico revisado por pares]

Kidlington: Elsevier Ireland Ltd

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8
Heart Rate Variability and Accelerometry as Classification Tools for Monitoring Perceived Stress Levels-A Pilot Study on Firefighters
Heart Rate Variability and Accelerometry as Classification Tools for Monitoring Perceived Stress Levels-A Pilot Study on Firefighters
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Heart Rate Variability and Accelerometry as Classification Tools for Monitoring Perceived Stress Levels-A Pilot Study on Firefighters

Meina, Michał ; Ratajczak, Ewa ; Sadowska, Maria ; Rykaczewski, Krzysztof ; Dreszer, Joanna ; Bałaj, Bibianna ; Biedugnis, Stanisław ; Węgrzyński, Wojciech ; Krasuski, Adam

Sensors (Basel, Switzerland), 2020-05, Vol.20 (10), p.2834 [Periódico revisado por pares]

Switzerland: MDPI

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9
Predicting physical fatigue in athletes in rope skipping training using ECG signals
Predicting physical fatigue in athletes in rope skipping training using ECG signals
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Predicting physical fatigue in athletes in rope skipping training using ECG signals

Feng, Weibin ; Zeng, Kelong ; Zeng, Xiaomei ; Chen, Jiejia ; Peng, Hong ; Hu, Bin ; Liu, Guangyuan

Biomedical signal processing and control, 2023-05, Vol.83, p.104663, Article 104663 [Periódico revisado por pares]

Elsevier Ltd

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Real-Time Closed Loop Diastolic Interval Control Prevents Cardiac Alternans in Isolated Whole Rabbit Hearts
Real-Time Closed Loop Diastolic Interval Control Prevents Cardiac Alternans in Isolated Whole Rabbit Hearts
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Real-Time Closed Loop Diastolic Interval Control Prevents Cardiac Alternans in Isolated Whole Rabbit Hearts

Kulkarni, Kanchan ; Lee, Steven W. ; Kluck, Ryan ; Tolkacheva, Elena G.

Annals of biomedical engineering, 2018-04, Vol.46 (4), p.555-566 [Periódico revisado por pares]

New York: Springer US

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