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Monica Fira, Hariton-Nicolae Costin and Liviu Goras
We analyzed the possibility of detecting and predicting ventricular fibrillation (VF), a medical emergency that may put people?s lives at risk, as the medical prognosis depends on the time in which medical personnel intervene. Therefore, besides immediat...
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Lucian Evdochim, Drago? Dobrescu, Lidia Dobrescu, Silviu Stanciu and Stela Halichidis
Left ventricular ejection time estimation by analyzing the morphology of arterial blood pressure and photoplethysmography signal.
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Krittapat Bannajak, Nipon Theera-Umpon and Sansanee Auephanwiriyakul
In this paper, we propose a lossless electrocardiogram (ECG) compression method using a prediction error-based adaptive linear prediction technique. This method combines the adaptive linear prediction, which minimizes the prediction error in the ECG sign...
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Suleiman Abu Kharmeh, Emad Natsheh, Batoul Sulaiman, Mohammad Abuabiah and Saed Tarapiah
Datasets used for artificial-neural-network and machine-learning applications play a vital role in the research and application of such techniques in solving real-life problems. The construction and availability of large datasets to be used in the off-li...
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Nelson Cárdenas-Bolaño, Aura Polo and Carlos Robles-Algarín
This paper presents the implementation of an intelligent real-time single-channel electromyography (EMG) signal classifier based on open-source hardware. The article shows the experimental design, analysis, and implementation of a solution to identify fo...
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Lara Pereira, Joana Grave, Janina Noll, Birgit Derntl, Sandra C. Soares, Susana Brás and Raquel Sebastião
Abnormal sensory perception is among the earliest symptoms of autism spectrum disorders (ASD). Despite mixed findings, olfactory perception seems to be altered in ASD. There is also evidence that automatic responses to odours can serve as biomarkers of A...
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Grigory Dolgikh, Yuri Morgunov, Alexander Burenin, Vladimir Bezotvetnykh, Vladimir Luchin, Aleksandr Golov and Alexander Tagiltsev
The methodological and technical possibilities of monitoring temperature fields in the Sea of Japan by acoustic thermometry methods are presented. The proposed tomographic method for monitoring the dynamics and structure of water is based on the transmis...
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Lanting Li, Tianliang Lu, Xingbang Ma, Mengjiao Yuan and Da Wan
In recent years, voice deepfake technology has developed rapidly, but current detection methods have the problems of insufficient detection generalization and insufficient feature extraction for unknown attacks. This paper presents a forged speech detect...
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Wanru Li, Mekuanent Muluneh Finsa, Kathryn Blackmond Laskey, Paul Houser and Rupert Douglas-Bate
Predicting groundwater levels is challenging, especially in regions of water scarcity where data availability is often limited. However, these regions have substantial water needs and require cost-effective groundwater utilization strategies. This study ...
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Kyeong Ryong Kim, Aaron Lim and Jae Hyung Cho
The exterior location of a user can be accurately determined using a global positioning system (GPS). However, accurately locating objects indoors poses challenges due to signal penetration limitations within buildings. In this study, an MLP with stochas...
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