TY - JOUR
T1 - An emerging era in the management of Parkinson's disease
T2 - Wearable technologies and the internet of things
AU - Pasluosta, Cristian F.
AU - Gassner, Heiko
AU - Winkler, Juergen
AU - Klucken, Jochen
AU - Eskofier, Bjoern M.
N1 - Publisher Copyright:
© 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
PY - 2015/11/1
Y1 - 2015/11/1
N2 - Current challenges demand a profound restructuration of the global healthcare system. A more efficient system is required to cope with the growing world population and increased life expectancy, which is associated with a marked prevalence of chronic neurological disorders such as Parkinson's disease (PD). One possible approach to meet this demand is a laterally distributed platform such as the Internet of Things (IoT). Real-time motion metrics in PD could be obtained virtually in any scenario by placing lightweight wearable sensors in the patient's clothes and connecting them to a medical database through mobile devices such as cell phones or tablets. Technologies exist to collect huge amounts of patient data not only during regular medical visits but also at home during activities of daily life. These data could be fed into intelligent algorithms to first discriminate relevant threatening conditions, adjust medications based on online obtained physical deficits, and facilitate strategies to modify disease progression. A major impact of this approach lies in its efficiency, by maximizing resources and drastically improving the patient experience. The patient participates actively in disease management via combined objective device- and self-assessment and by sharing information within both medical and peer groups. Here, we review and discuss the existing wearable technologies and the Internet-of-Things concept applied to PD, with an emphasis on how this technological platform may lead to a shift in paradigm in terms of diagnostics and treatment.
AB - Current challenges demand a profound restructuration of the global healthcare system. A more efficient system is required to cope with the growing world population and increased life expectancy, which is associated with a marked prevalence of chronic neurological disorders such as Parkinson's disease (PD). One possible approach to meet this demand is a laterally distributed platform such as the Internet of Things (IoT). Real-time motion metrics in PD could be obtained virtually in any scenario by placing lightweight wearable sensors in the patient's clothes and connecting them to a medical database through mobile devices such as cell phones or tablets. Technologies exist to collect huge amounts of patient data not only during regular medical visits but also at home during activities of daily life. These data could be fed into intelligent algorithms to first discriminate relevant threatening conditions, adjust medications based on online obtained physical deficits, and facilitate strategies to modify disease progression. A major impact of this approach lies in its efficiency, by maximizing resources and drastically improving the patient experience. The patient participates actively in disease management via combined objective device- and self-assessment and by sharing information within both medical and peer groups. Here, we review and discuss the existing wearable technologies and the Internet-of-Things concept applied to PD, with an emphasis on how this technological platform may lead to a shift in paradigm in terms of diagnostics and treatment.
KW - Internet of Things (IoT)
KW - Knowledge discovery
KW - Parkinson's disease (PD)
KW - Patients
KW - Wearable technologies
UR - http://www.scopus.com/inward/record.url?scp=84959216047&partnerID=8YFLogxK
U2 - 10.1109/JBHI.2015.2461555
DO - 10.1109/JBHI.2015.2461555
M3 - Article
C2 - 26241979
AN - SCOPUS:84959216047
SN - 2168-2194
VL - 19
SP - 1873
EP - 1881
JO - IEEE Journal of Biomedical and Health Informatics
JF - IEEE Journal of Biomedical and Health Informatics
IS - 6
M1 - 7169494
ER -