+1 (202) 780-3397
Activity detection and Parkinson’s disease symptom monitoring at home
International Conference on Parkinson’s, Huntington’s & Movement Disorders
April 17-18, 2019 | Frankfurt, Germany
Dimitrios I Fotiadis
PD Neurotechnology Ltd., UK
Scientific Tracks Abstracts : J Brain Neurol
Abstract:
Lately, the exploitation of advanced body sensor
network technologies gains great attention
tailored for the patient-centric healthcare. The
synergies between the healthcare and engineering
communities target the unobtrusive monitoring
of patients in uncontrolled home environments
to extract objective valuable knowledge for
the patient’s state. This allows the healthcare
professionals to take healthcare back into the
patient’s own home and increases efficiency
of consultations and care delivery. Nowadays,
the management of Parkinson’s disease (PD)
symptoms, particularly in the early stages of the
disease, shows good results. However, the longterm
treatment is hampered since the available
pharmacological therapy is successful only
for a limited period, which results in patients
developing unmanageable motor complications,
which ultimately worsen the quality of life (QoL).
Dosage optimization is based on the face-to-face
examination of the healthcare expert during the
patient’s visit and the disease evaluation of day-today
variations is difficult when relying solely upon
periodic consultations. Device-based measures
can be used to detect and quantify PD related
motor and nonmotor impairments in specific or
overall function in activities of daily living (ADLs),
improving the management of the disease. Similar
devices can also overcome limitations of the
current clinical practice, such as low availability
of expert PD practitioners or availability of expert
physicians for patients in rural or remote areas.Lately, the exploitation of advanced body sensor
network technologies gains great attention
tailored for the patient-centric healthcare. The
synergies between the healthcare and engineering
communities target the unobtrusive monitoring
of patients in uncontrolled home environments
to extract objective valuable knowledge for
the patient’s state. This allows the healthcare
professionals to take healthcare back into the
patient’s own home and increases efficiency
of consultations and care delivery. Nowadays,
the management of Parkinson’s disease (PD)
symptoms, particularly in the early stages of the
disease, shows good results. However, the longterm
treatment is hampered since the available
pharmacological therapy is successful only
for a limited period, which results in patients
developing unmanageable motor complications,
which ultimately worsen the quality of life (QoL).
Dosage optimization is based on the face-to-face
examination of the healthcare expert during the
patient’s visit and the disease evaluation of day-today
variations is difficult when relying solely upon
periodic consultations. Device-based measures
can be used to detect and quantify PD related
motor and nonmotor impairments in specific or
overall function in activities of daily living (ADLs),
improving the management of the disease. Similar
devices can also overcome limitations of the
current clinical practice, such as low availability
of expert PD practitioners or availability of expert
physicians for patients in rural or remote areas.
A system tailored to the needs of PD patients,
physicians and caregivers is PDMonitorR, which
is a non-invasive continuous monitoring system
for PD motor symptoms. The system consists of
a set of wearable monitoring devices, a mobile
application, which enables patients and caregivers
to record medication, nutrition and non-motor
status as complementary information for the motor
symptom assessment, and a physician reporting
tool, which graphically presents to the healthcare
professional all patient related information
A system tailored to the needs of PD patients,
physicians and caregivers is PDMonitorR, which
is a non-invasive continuous monitoring system
for PD motor symptoms. The system consists of
a set of wearable monitoring devices, a mobile
application, which enables patients and caregivers
to record medication, nutrition and non-motor
status as complementary information for the motor
symptom assessment, and a physician reporting
tool, which graphically presents to the healthcare
professional all patient related information
Biography:
Dimitrios I. Fotiadis, is a Professor of Biomedical Engineering in the Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece, where he is also the Director of the Unit of Medical Technology and Intelligent Information Systems, and is also an Affiliated Member of Foundation for Research and Technology Hellas, Institute of Molecular Biology and Biotechnology, Dept. of Biomedical Research. He is the author or coauthor of more than 250 papers in scientific journals, 450 papers in peer-reviewed conference proceedings, and more than 50 chapters in books with more than 12,000 citations (h-index = 57). He is also the editor or coeditor of 26 books. He is a fellow of IAMBES, member of IEEE Technical Committee of information Technology in Healthcare and the Editor in Chief of IEEE Journal of Biomedical and Health Informatics, and Associate Editor for Computers in Biology and Medicine. His research interests include multiscale modeling of human tissues and organs, intelligent wearable/ implantable devices for automated diagnosis, processing of big medical data, sensor informatics, image informatics, and bioinformatics. He is the recipient of many scientific awards including the one by the Academy of Athens. He is the co-founder of PD Neurotechnology Ltd. ,based in London with focus on wearable smart systems for movement disorders.
E-mail: d.fotiadis@pdneurotechnology.com
PDF HTML