Leontios Hadjileontiadis

Leontios Hadjileontiadis
Aristotle University of Thessaloniki | AUTH · Department of Electronics and Computer Engineering

Electrical & Computer Engineering

About

359
Publications
81,826
Reads
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7,116
Citations
Citations since 2016
138 Research Items
4604 Citations
20162017201820192020202120220200400600800
20162017201820192020202120220200400600800
20162017201820192020202120220200400600800
20162017201820192020202120220200400600800
Additional affiliations
December 1999 - October 2016
Aristotle University of Thessaloniki
Position
  • Professor (Full)

Publications

Publications (359)
Article
Full-text available
Artifacts in the Electrocardiogram (ECG) degrade the quality of the recorded signal and are not conducive to heart rate variability (HRV) analysis. The two types of noise most often found in ECG recordings are technical and physiological artifacts. Current preprocessing methods primarily attend to ectopic beats but do not consider technical issues...
Preprint
BACKGROUND Design dynamics that evolve during a designer’s prototyping process encapsulate important insights about the way the designer is using his/her knowledge, creativity and reflective thinking. Nevertheless, the capturing of such dynamics is not always an easy task, as they are built through alternations between the self-first and self-third...
Conference Paper
Full-text available
Atrial fibrillation (AF) is the most common cardiac arrhythmia and is associated with significant morbidity and mortality. Owing to the advances in sensor technology and the emergence of wearable devices that enable daily self-monitoring, ECG signal processing methods for the automatic detection of AF are more pertinent than ever. In this paper, we...
Article
Full-text available
The ubiquitous nature of smartphone ownership, its broad application and usage, along with its interactive delivery of timely feedback are appealing for health-related behavior change interventions via mobile apps. However, users' perspectives about such apps are vital in better bridging the gap between their design intention and effective practica...
Article
Full-text available
The unmet timely diagnosis requirements, that take place years after substantial neural loss and neuroperturbations in neuropsychiatric disorders, affirm the dire need for biomarkers with proven efficacy. In Parkinson’s disease (PD), Mild Cognitive impairment (MCI), Alzheimers disease (AD) and psychiatric disorders, it is difficult to detect early...
Article
Unstructured: Face masks are an important way to fight the COVID-19 pandemic. However, the prolonged pandemic has revealed confounding problems of the current face masks, not only the spread of the disease but also concurrent psychological, social, and economic complications. As face masks have been worn for a long time, people have been intereste...
Article
Efficient evaluation of a project is a vital factor for its successful realization during its life-time, as it can offer insight to the factors that could influence its quality. In this vein, a new approach in project evaluation, namely Fuzzy Inference System Evaluator (FISEVAL), is proposed here, which builds upon the fuzzy logic-based inference p...
Article
Full-text available
Neurodegenerative Parkinson's Disease (PD) is one of the common incurable diseases among the elderly. Clinical assessments are characterized as standardized means for PD diagnosis. However, relying on medical evaluation of a patient's status can be subjective to physicians' experience, making the assessment process susceptible to human errors. The...
Article
Full-text available
Affective state recognition is a key component of any system equipped with emotional awareness and intelligence. The ability of recognizing emotions allows the machine to better understand the user requirements, and guide its decision and response, thus establishing a more connected relationship with the human. It is usually assumed that emotion re...
Article
Full-text available
Background: Left ventricular ejection fraction (LVEF) is the gold standard for evaluating heart failure (HF) in coronary artery disease (CAD) patients. It is an essential metric in categorizing HF patients as preserved (HFpEF), mid-range (HFmEF), and reduced (HFrEF) ejection fraction but differs, depending on whether the ASE/EACVI or ESC guidelines...
Preprint
BACKGROUND Ecologically valid evaluations of patient states or wellbeing by means of new technologies is a key issue in contemporary research in silver science. The in-game metrics generated from interaction of users with serious games can potentially be used in predicting or characterizing user’s health and well-being state. There is currently an...
Article
Background Ecologically valid evaluations of patient states or well-being by means of new technologies is a key issue in contemporary research in health and well-being of the aging population. The in-game metrics generated from the interaction of users with serious games (SG) can potentially be used to predict or characterize a user’s state of heal...
Conference Paper
The non-invasive fetal electrocardiography (fECG) extraction from maternal abdominal signals is one of the most promising modern fetal monitoring techniques. However, the noninvasive fECG signal is heavily contaminated with noise and overlaps with other prominent signals like the maternal ECG. In this work we propose a novel approach in non-invasiv...
Conference Paper
Full-text available
The automated recognition of human emotions plays an important role in developing machines with emotional intelligence. However, most of the affective computing models are based on images, audio, videos and brain signals. There is a lack of prior studies that focus on utilizing only peripheral physiological signals for emotion recognition, which ca...
Conference Paper
Gastrointestinal (GI) diseases are amongst the most painful and dangerous clinical cases, due to inefficient recognition of symptoms and thus, lack of early-diagnostic tools. The analysis of bowel sounds (BS) has been fundamental for GI diseases, however their long-term recordings require technical and clinical resources along with the patientt's m...
Article
Full-text available
Objective: Parkinson's Disease (PD) is a progressive neurodegenerative disorder, manifesting with subtle early signs, which often hinder timely and early diagnosis and treatment. The development of accessible, technology-based methods for longitudinal PD symptoms tracking in daily living offers the potential for transforming the disease assessment...
Chapter
In this chapter, a bilateral approach is applied to Telemann’s music, combining information both from the music analysis domain and transformation techniques of the sound signal. The Telemann’s Fantasia No 2 à Travers sans Basse is used as the paradigm basis and its characteristics that relate with the melodic and harmonic projection (music analysi...
Article
Full-text available
Analysis of heart failure is important in clinical practice to ensure coronary artery disease (CAD) patients will be provided with appropriate timely treatment. The current gold-standard, echocardiography, although reliable, provides a once-off left ventricular ejection fraction (LVEF) measurement and does not provide information about heart functi...
Conference Paper
Full-text available
The variational mode decomposition (VMD) is a widely applied optimization-based method, which analyzes non-stationary signals concurrently. Correspondingly, its recently proposed multivariate extension, i.e., MVMD, has shown great potentials in analyzing multichannel signals. However, the requirement of presetting the number of extracted components...
Article
Full-text available
Freezing of Gait (FoG) is a movement disorder that mostly appears in the late stages of Parkinson’s Disease (PD). It causes incapability of walking, despite the PD patient’s intention, resulting in loss of coordination that increases the risk of falls and injuries and severely affects the PD patient’s quality of life. Stress, emotional stimulus, an...
Article
Neurally mediated syncope (NMS) is the most common type of syncope, and head up tilt test (HUTT) is, so far, the most appropriate tool to identify NMS. In this work, an effort to predict the NMS before performing the HUTT is attempted. To achieve this, the heart rate variability (HRV) at rest and during the first minutes of tilting position during...
Article
Modern feature-based methodologies in semantic audio applications attempt to capture the temporal dependency of successive feature observations, which form the so-called texture windows. This paper proposes an enhancement of this type of processing, known as temporal feature integration, by employing and testing alternative deployable strategies. S...
Chapter
In the beginning of 2020, the coronavirus (Covid-19) pandemic has raised significant challenges for the Higher Education Institutions (HEIs) worldwide. Due to Covid-19 outbreak, HEIs were forced to close due to social lockdown, placing online teaching-learning environments/modalities to the foreground of the educational settings. In an effort to ex...
Preprint
Full-text available
Analysis of heart failure is important in clinical practice to ensure coronary artery disease (CAD) patients will be provided with appropriate timely treatment. The current gold standard, echocardiography, although reliable, provides a once-off left ventricular ejection fraction (LVEF) measurement but does not provide information about heart functi...
Article
Full-text available
Human-Computer Interaction (HCI) and games set a new domain in understanding people’s motivations in gaming, behavioral implications of game play, game adaptation to player preferences and needs for increased engaging experiences in the context of HCI serious games (HCI-SGs). When the latter relate with people’s health status, they can become a par...
Article
Full-text available
Parkinson’s Disease (PD) is the second most common neurodegenerative disorder, affecting more than 1% of the population above 60 years old with both motor and non-motor symptoms of escalating severity as it progresses. Since it cannot be cured, treatment options focus on the improvement of PD symptoms. In fact, evidence suggests that early PD inter...
Article
Full-text available
Coronavirus (Covid-19) pandemic has imposed a complete shut-down of face-to-face teaching to universities and schools, forcing a crash course for online learning plans and technology for students and faculty. In the midst of this unprecedented crisis, video conferencing platforms (e.g., Zoom, WebEx, MS Teams) and learning management systems (LMSs),...
Chapter
Affective Computing is one of the most active research topics in education. Increased interest in emotion recognition through text channels makes sentiment analysis (i.e., the Natural Language Processing task of determining the valence in texts) a state-of-the-practice tool. Considering the domain-dependent nature of sentiment analysis as well as t...
Chapter
Cardiovascular disease (CVD) is the major cause of death in the UAE, causing one in every five deaths. Effective Cardiac Rehabilitation (CR) can significantly improve mortality and morbidity rates, leading to longer independent living and a reduced use of healthcare resources. The proposed project, namely Care4MyHeart, sets as an overall goal to in...
Article
Full-text available
Recognizing emotions during social interactions has many potential applications with the popularization of low-cost mobile sensors, but a challenge remains with the lack of naturalistic affective interaction data. Most existing emotion datasets do not support studying idiosyncratic emotions arising in the wild as they were collected in constrained...
Article
Full-text available
A new model, namely fuzzy inference system (FIS) concept mapping (FISCMAP), is proposed here that explores the fuzzy logic constructs within a computer-based concept mapping (CM) environment. FISCMAP involves modeling techniques as a vehicle to improve the intelligence of an online learning feedback environment that could promote personalization an...
Article
The primary manifestations of Parkinson Disease (PD) concern abnormalities of movement associated with the constant deterioration of motor skills. Such motor impairment affects patients’ movement accuracy and coordination, disrupting their daily life. Taking into account recent studies stating that computer-based physical therapy games can be used...
Article
Full-text available
Fine-motor impairment (FMI) is progressively expressed in early Parkinson’s Disease (PD) patients and is now known to be evident in the immediate prodromal stage of the condition. The clinical techniques for detecting FMI may not be robust enough and here, we show that the subtle FMI of early PD patients can be effectively estimated from the analys...
Article
Full-text available
Being the second most common neurodegenerative disease, Parkinson's disease (PD) can be symptomatically treated, although, unfortunately, it cannot be cured yet. Moreover, diagnosing and assessing PD patients is a complex process, requiring continuous monitoring. In this vein, the design, development, and validation of innovative assessment tools m...
Chapter
In this work, we present a system that can estimate food volume from a single input image, by utilizing the latest advancements in monocular depth estimation. We employ a state-of-the-art, monocular depth prediction network architecture, trained exclusively on videos, which we obtain from the publicly available EPIC-KITCHENS and our own collected f...
Chapter
Augmented Reality (AR) is a novel technology that experiences rapid bloom in the last years. By using an AR electronic device, we can blend the real world with a virtual one in real time. Gamification in healthcare interventions helps patients adopt a healthier lifestyle in various aspects of their lives. In this direction, there is ample space for...
Conference Paper
Early and noninvasive identification of heart failure progression is an important adjunct to successful and timely intervention. Severity of heart failure (HF) was assessed by Left Ventricular Ejection Fraction (LVEF). In this paper, we explore the circadian (24-hour) heart rate variability (HRV) features from ''normal" (EF >50%), "at-risk" (EF <40...
Conference Paper
Full-text available
Parkinson's Disease (PD) is the second most common neurodegenerative disorder with the non-motor symptoms preceding the motor impairment that is needed for clinical diagnosis. In the current study, an angle-based analysis that processes activity data during sleep from a smartwatch for quantification of sleep quality, when applied on controls and PD...
Article
Objectives: The purpose of this study was to set an optimal fit of the estimated LVEF at hourly intervals from 24-hour ECG recordings and compare it with the fit based on two gold-standard guidelines. Methods: Support vector regression (SVR) models were applied to estimate LVEF from ECG derived heart rate variability (HRV) data in one-hour inter...
Preprint
Full-text available
Recognizing emotions during social interactions has many potential applications with the popularization of low-cost mobile sensors, but a challenge remains with the lack of naturalistic affective interaction data. Most existing emotion datasets do not support studying idiosyncratic emotions arising in the wild as they were collected in constrained...
Article
Full-text available
Depressive disorder (DD) is a mental illness affecting more than 300 million people worldwide, whereas social stigma and subtle, variant symptoms impede diagnosis. Psychomotor retardation is a common component of DD with a negative impact on motor function, usually reflected on patients’ routine activities, including, nowadays, their interaction wi...
Conference Paper
Early diagnosis of the cardiac abnormalities during the pregnancy may reduce the risk of perinatal morbidity and mortality. Doppler ultrasound signals (DUS), which is commonly used for monitoring the fetal heart rate, can also be used for identifying the event timings of fetal cardiac valve motions. In this paper, we propose a non-invasive techniqu...
Conference Paper
Full-text available
Parkinson's Disease (PD) is the second most common neurodegenerative disorder worldwide, causing both motor and non-motor symptoms. In the early stages, symptoms are mild and patients may ignore their existence. As a result, they do not undergo any related clinical examination; hence delaying their PD diagnosis. In an effort to remedy such delay, a...
Article
Full-text available
Perinatal morbidity and mortality can be reduced when any cardiac abnormalities during a pregnancy are diagnosed early. Doppler Ultrasound Signals (DUS) are often used to monitor the heart rate of a fetus and they can also be used to identify the timing events of fetal cardiac valve motions. This paper proposed a novel, non-invasive technique which...
Article
Full-text available
We propose event-related cortical sources estimation from subject-independent electroencephalography (EEG) recordings for motor imagery brain computer interface (BCI). By using wavelet-based maximum entropy on the mean (wMEM), task-specific EEG channels are selected to predict right hand and right foot sensorimotor tasks, employing common spatial p...
Chapter
As the interplay between cognition and emotion is involved in every learning process, student profile should be enhanced with information regarding his/her affective state. Sentiment analysis could serve this end, through the analysis of student behavioral traces in teaching-learning environments. The purpose of the present study is to review the s...
Chapter
The new dimensions of e-community and e-identity have justified the integration of innovative methodologies in the design, implementation and development of the teaching-learning process at Higher Education Institutions (HEIs). The growing adoption of Learning Management Systems (LMSs) has led to the introduction of creative teaching/learning appro...