Feature Analysis of the Vowel [a:] in Individuals With Chronic Obstructive Pulmonary Disease and Healthy ControlsSUMMARY
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… Feature Analysis of the Vowel [a:] in Individuals With Chronic Obstructive Pulmonary Disease and Healthy ControlsSUMMARY
Media Highlights: Voice-Based Digital Biomarkers Featured on SVT and P4 Blekinge
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… Media Highlights: Voice-Based Digital Biomarkers Featured on SVT and P4 Blekinge
PhD Defense
I am delighted to share that I have successfully defended my PhD in Applied Health Technology at Blekinge Institute of Technology (BTH). My research explored how voice can serve as a digital biomarker for assessing… PhD Defense
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
Authors: 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… 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
Vowel segmentation impact on machine learning classification for chronic obstructive pulmonary disease
Authors: 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… Vowel segmentation impact on machine learning classification for chronic obstructive pulmonary disease
COPDVD: Automated classification of chronic obstructive pulmonary disease on a new collected and evaluated voice dataset
Authors: Alper Idrisoglu, Ana Luiza Dallora, Abbas Cheddad, Peter Anderberg, Andreas Jakobsson, Johan Sanmartin Berglund Abstract Background Chronic obstructive pulmonary disease (COPD) is a severe condition affecting millions worldwide, leading to numerous annual deaths. The… COPDVD: Automated classification of chronic obstructive pulmonary disease on a new collected and evaluated voice dataset
Perceptions of International Students in a Higher Education Institute in Sweden
Authors: Alper Idrisoglu, Saleh Javadi Abstract:The process of internationalising higher education brings about numerous benefits f or t eaching a nd l earning activities. It fosters an extensive exchange of information that extends beyond national… Perceptions of International Students in a Higher Education Institute in Sweden
Licentiate
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… Licentiate
Oral Health and Cognitive Function Research Presented at ICBCB 2024
Johan Flyborg and I had the honor of presenting our research at the International Conference on Bioinformatics and Computational Biology (ICBCB) 2024 in Tokyo. Our study, “Oral Health Parameter-Based Mini-Mental State Examination (Score) Indication Using… Oral Health and Cognitive Function Research Presented at ICBCB 2024









