Welcome to my personal website.
This platform presents my research work, ongoing collaborations, and academic activities. Here you will find updates about publications, media features, teaching, supervision and participation in conferences and workshops.
I believe that learning and curiosity drive meaningful progress. Life is too long to remain stuck, but also too short to spend on things that do not move us forward.
Below you can explore a selection of recent research activities, presentations, and scholarly contributions.
Feature Analysis of the Vowel [a:] in Individuals With Chronic Obstructive Pulmonary Disease and Healthy ControlsSUMMARY
Feature Analysis of the Vowel [a:] in Individuals With Chronic Obstructive Pulmonary Disease and Healthy ControlsSUMMARY
Alper
SUMMARY Background In addition to impairing the lung function, chronic obstructive pulmonary disease (COPD) also affects phonatory characteristics. Recent research highlights the potential of voice as a digital biomarker to support clinical decision-making. While machine learning (ML) can detect disease patterns from acoustic features, clinical relevance requires understanding the relationship…
Media Highlights: Voice-Based Digital Biomarkers Featured on SVT and P4 Blekinge
Media Highlights: Voice-Based Digital Biomarkers Featured on SVT and P4 Blekinge
Alper
I am pleased to share that my research on voice as a digital biomarker for chronic obstructive pulmonary disease (COPD) has recently been featured in both SVT Nyheter Blekinge and Sveriges Radio P4 Blekinge. Together with colleagues at the Health & Technology Research Lab, Blekinge Institute of Technology (BTH), I…
Prediction of Mini-Mental State Examination Scores for Cognitive Impairment and Machine Learning Analysis of Oral Health and Demographic Data Among Individuals Older Than 60 Years: Cross-Sectional Study
Prediction of Mini-Mental State Examination Scores for Cognitive Impairment and Machine Learning Analysis of Oral Health and Demographic Data Among Individuals Older Than 60 Years: Cross-Sectional Study
Alper Idrisoglu, Johan Flyborg, Sarah Nauman Ghazi, Elina Mikaelsson Midlöv, Helén Dellkvist, Anna Axén, Ana Luiza Dallora
Abstract Background:As the older population grows, so does the prevalence of cognitive impairment, emphasizing the importance of early diagnosis. The Mini-Mental State Examination (MMSE) is vital in identifying cognitive impairment. It is known that degraded oral health correlates with MMSE scores ≤26. Objective:This study aims to explore the potential of…
Vowel segmentation impact on machine learning classification for chronic obstructive pulmonary disease
Vowel segmentation impact on machine learning classification for chronic obstructive pulmonary disease
Alper Idrisoglu, Ana Luiza Dallora Moraes, Abbas Cheddad, Peter Anderberg, Andreas Jakobsson, Johan Sanmartin Berglund
Abstract:Abstract Vowel-based voice analysis is gaining attention as a potential non-invasive tool for COPD classification, offering insights into phonatory function. The growing need for voice data has necessitated the adoption of various techniques, including segmentation, to augment existing datasets for training comprehensive Machine Learning (ML) modelsThis study aims to investigate…
Licentiate
Licentiate
Alper
I had the pleasure of presenting my licentiate seminar at BTH, where I introduced my latest research on using voice as a tool for detecting chronic diseases like COPD. As a Ph.D. student in Applied Health Technology at the Department of Health (TIHA), I’ve been exploring how subtle changes in…