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Myoung-Su Choi, Dong-Hun Han, Jun-Woo Choi and Min-Soo Kang
Sleep apnea has emerged as a significant health issue in modern society, with self-diagnosis and effective management becoming increasingly important. Among the most renowned methods for self-diagnosis, the STOP-BANG questionnaire is widely recognized as...
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Artur Chudzik and Andrzej W. Przybyszewski
Neurodegenerative diseases (NDs), including Parkinson?s and Alzheimer?s disease, pose a significant challenge to global health, and early detection tools are crucial for effective intervention. The adaptation of online screening forms and machine learnin...
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Eugenia I. Toki, Jenny Pange, Giorgos Tatsis, Konstantinos Plachouras and Ioannis G. Tsoulos
Autism Spectrum Disorder is known to cause difficulties in social interaction and communication, as well as repetitive patterns of behavior, interests, or hobbies. These challenges can significantly affect the individual?s daily life. Therefore, it is cr...
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Ming Chen, Tao Ren, Pihai Sun, Jianfei Wu, Jinfeng Zhang and Aite Zhao
In the past few years, the assessment of Parkinson?s disease (PD) has mainly been based on the clinician?s examination, the patient?s medical history, and self-report. Parkinson?s disease may be misdiagnosed due to a lack of clinical experience. Moreover...
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Pummy Dhiman, Anupam Bonkra, Amandeep Kaur, Yonis Gulzar, Yasir Hamid, Mohammad Shuaib Mir, Arjumand Bano Soomro and Osman Elwasila
Recent developments in IoT, big data, fog and edge networks, and AI technologies have had a profound impact on a number of industries, including medical. The use of AI for therapeutic purposes has been hampered by its inexplicability. Explainable Artific...
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Forough Moosavi, Hamid Shiri, Jacek Wodecki, Agnieszka Wylomanska and Radoslaw Zimroz
In this paper, a novel method for long-term data segmentation in the context of machine health prognosis is presented. The purpose of the method is to find borders between three data segments. It is assumed that each segment contains the data that repres...
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Nellyzeth Flores, Marco A. Reyna, Roberto L. Avitia, Jose Antonio Cardenas-Haro and Conrado Garcia-Gonzalez
Cardiovascular disease (CVD) is a global public health problem. It is a disease of multifactorial origin, and with this characteristic, having an accurate diagnosis of its incidence is a problem that health personnel face every day. That is why having al...
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Dmitry N. Ignatenko, Alexey V. Shkirin, Yakov P. Lobachevsky and Sergey V. Gudkov
The review contains a systematization of the main approaches to the practical implementation of Mueller matrix polarimetry and the prospects for its application in biology and agriculture. The most typical optical layouts for measuring the Mueller matrix...
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Maria Grazia De Giorgi, Luciano Strafella, Nicola Menga and Antonio Ficarella
An efficient maintenance plan is an important aspect for aeronautical companies to increase flight safety and decrease costs. Modern technologies are widely used in the Engine Health Monitoring (EHM) discipline to develop intelligent tools capable of mon...
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Ewa Kupcewicz, Marzena Mikla, Helena Kaducáková, Daria Schneider-Matyka and Elzbieta Grochans
(1) The COVID-19 outbreak brought about several socio-economic changes and has had a negative impact on the mental health of people around the world. The aim of this study was to examine the correlation between health behaviours and dispositional optimis...
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