=Paper=
{{Paper
|id=Vol-3903/invited1
|storemode=property
|title=AI to detect Parkinson’s disease symptoms via wearables: from detection to management to treatment
|pdfUrl=https://ceur-ws.org/Vol-3903/AIxHMI2024_invited1.pdf
|volume=Vol-3903
|authors=Chiara Capra
|dblpUrl=https://dblp.org/rec/conf/aixhmi/Capra24
}}
==AI to detect Parkinson’s disease symptoms via wearables: from detection to management to treatment==
<pdf width="1500px">https://ceur-ws.org/Vol-3903/AIxHMI2024_invited1.pdf</pdf>
<pre>
                         AI to detect Parkinson’s disease symptoms via wearables:
                         from detection to management to treatment
                         Chiara Capra1,2,*
                         1
                             Sense4Care, C/ Tirso de Molina 36, 08940 Cornellà de Llobregat, Barcelona, Spain
                         2
                             LIFE Neurotech, Barcelona Health Hub, C/ de St. Antoni Maria Claret, 167, 08025 Barcelona, Spain


                                        Abstract
                                        Parkinson’s disease (PD) is a progressive neurodegenerative disorder marked by motor and non-motor symptoms.
                                        Early detection and continuous monitoring are essential for effective management and personalized treatment.
                                        Advances in artificial intelligence (AI) and wearable technologies offer transformative opportunities for PD
                                        care. This session highlights the role of wearable devices, particularly STAT-ON, which is considered the
                                        “Holter monitor” for Parkinson’s. STAT-ON stands out as the most effective tool for real-time, continuous
                                        symptom monitoring, capturing key motor fluctuations and providing comprehensive data on a patient’s condition.
                                        Integrated with AI, these devices enable accurate detection of PD symptoms, from early diagnosis to symptom
                                        management and treatment optimization. By analyzing sensor data, AI models can predict disease progression,
                                        guide personalized interventions, and enhance remote patient care. This AI-driven approach, coupled with
                                        advanced wearables, represents a paradigm shift in PD management, offering the potential for better patient
                                        outcomes and a higher quality of life.

                                        Keywords
                                        Parkinson’s disease, Neurodegenerative disorders, Early detection, STAT-ON, wearable devices




                          Italian Workshop on Artificial Intelligence for Human Machine Interaction (AIxHMI 2024), November 26, 2024, Bolzano, Italy
                         *
                           Corresponding author.
                          $ chiara.capra@sense4care.com (C. Capra)
                                       © 2024 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).


CEUR
                  ceur-ws.org
Workshop      ISSN 1613-0073
Proceedings

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