AUTHOR=Rodríguez-Martín Daniel , Cabestany Joan , Pérez-López Carlos , Pie Marti , Calvet Joan , Samà Albert , Capra Chiara , Català Andreu , Rodríguez-Molinero Alejandro 

TITLE=A New Paradigm in Parkinson's Disease Evaluation With Wearable Medical Devices: A Review of STAT-ONTM

JOURNAL=Frontiers in Neurology

VOLUME=Volume 13 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2022.912343

DOI=10.3389/fneur.2022.912343

ISSN=1664-2295

ABSTRACT=In the past decade, the use of wearable medical devices has been a great breakthrough in clinical practice, trials, and research. In the Parkinson’s disease field, clinical evaluation is time-limited and healthcare professionals need to rely on retrospective data collected through patients’ self-filled diaries and administered questionnaires. As this often leads to inaccurate evaluations, a more objective system for symptoms monitoring in a patient’s daily life is claimed. In this regard, the use of wearable medical devices is crucial. This paper aims at presenting a review on STAT-ONTM, a wearable medical device Class IIa which provides objective information on the distribution and severity of PD motor symptoms in home environments. The sensor analyses inertial signals, with a set of validated machine learning algorithms running in real-time. The device was developed during 12 years, and this review aims at gathering all the results achieved within this timeframe. First, a compendium of the complete journey of STAT-ONTM since 2009 is presented, encompassing different studies and developments in funded European and Spanish national projects. Subsequently, the methodology of database construction and machine learning algorithms design and development is described. Finally, clinical validation and external studies of STAT-ONTM are presented.