Alper has participated in the ELLIIT Annual Workshop with a poster presentation. The workshop was hosted by Lund University on March 7-8 and the workshop encompassed a breadth of stimulating topics spanning multiple disciplines. Alper’s poster elicited substantial interest, sparking extensive inquiries and discussions from attendees.
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Alper was honored with an invitation to participate in a symposium centered on the exploration of voice and speech research within the medical domain, hosted at Gazi University’s Faculty of Medicine in Ankara, Türkiye, on March 06, 2024. The symposium served as a platform for the dissemination of findings from a comprehensive systematic literature review […]
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Den 29 februari på eftermiddagen hade vi Aktiva seniorer på besök. Aktiva Seniorer är en riksorganisation med föreningar över hela Sverige, och verkar ideellt för att främja medlemmarnas kulturella och sociala intressen och vill stimulera till fortsatt aktivitet. Vi arrangerade en föreläsning som Docent Martin Boldt hade om AI. Efter föreläsningen gick vi vidare till […]
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The Applied Health Technology Research Conference at Blekinge Institute of Technology was a vibrant convergence of minds at Scandic Karlskrona on December 11th, 2023. Researchers and professionals immersed themselves in the latest breakthroughs at the intersection of technology and healthcare. The conference provided a platform for unveiling groundbreaking studies and innovations, ranging from telemedicine solutions […]
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Abstract: Dementia, a neurodegenerative disease, significantly impairs cognitive abilities and is often not diagnosed until the later stages of disease progression. This delayed diagnosis results in missed early intervention, support opportunities and difficulty implementing appropriate care strategies. To address this problem, researchers have proposed automated diagnostic systems that utilize machine learning methods using electronic health […]
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https://doi.org/10.1007/s44196-023-00362-y
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This project centers on the diagnosis and monitoring of health conditions that impact patients’ vocal characteristics, including Neurocognitive disorders (NCDs) (signifying cognitive decline), pulmonary disorder (COPD), and heart failure conditions (HF). By utilizing longitudinal voice recordings paired with medical data, we aim to create mathematical vocal characteristics, distance metrics, and machine learning methodologies that are […]
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