Free‐living monitoring of Parkinson's disease: Lessons from the field

S Del Din, A Godfrey, C Mazzà, S Lord… - Movement …, 2016 - Wiley Online Library
Wearable technology comprises miniaturized sensors (eg, accelerometers) worn on the
body and/or paired with mobile devices (eg, smart phones) allowing continuous patient …

An emerging era in the management of Parkinson's disease: wearable technologies and the internet of things

CF Pasluosta, H Gassner, J Winkler… - IEEE journal of …, 2015 - ieeexplore.ieee.org
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 …

Continuous home monitoring of Parkinson's disease using inertial sensors: A systematic review

M Sica, S Tedesco, C Crowe, L Kenny, K Moore… - PloS one, 2021 - journals.plos.org
Parkinson's disease (PD) is a progressive neurological disorder of the central nervous
system that deteriorates motor functions, while it is also accompanied by a large diversity of …

Parkinson's disease tremor detection in the wild using wearable accelerometers

R San-Segundo, A Zhang, A Cebulla, S Panev… - Sensors, 2020 - mdpi.com
Continuous in-home monitoring of Parkinson's Disease (PD) symptoms might allow
improvements in assessment of disease progression and treatment effects. As a first step …

Wearables in the home-based assessment of abnormal movements in Parkinson's disease: a systematic review of the literature

S Ancona, FD Faraci, E Khatab, L Fiorillo, O Gnarra… - Journal of …, 2022 - Springer
At present, the standard practices for home-based assessments of abnormal movements in
Parkinson's disease (PD) are based either on subjective tools or on objective measures that …

Systematic review looking at the use of technology to measure free-living symptom and activity outcomes in Parkinson's disease in the home or a home-like …

C Morgan, M Rolinski, R McNaney… - Journal of …, 2020 - journals.sagepub.com
Background: The emergence of new technologies measuring outcomes in Parkinson's
disease (PD) to complement the existing clinical rating scales has introduced the possibility …

Empirical wavelet transform based features for classification of Parkinson's disease severity

QW Oung, H Muthusamy, SN Basah, H Lee… - Journal of medical …, 2018 - Springer
Parkinson's disease (PD) is a type of progressive neurodegenerative disorder that has
affected a large part of the population till now. Several symptoms of PD include tremor …

Machine learning classification of medication adherence in patients with movement disorders using non-wearable sensors

CS Tucker, I Behoora, HB Nembhard, M Lewis… - Computers in biology …, 2015 - Elsevier
Medication non-adherence is a major concern in the healthcare industry and has led to
increases in health risks and medical costs. For many neurological diseases, adherence to …

Detecting parkinsonian tremor from IMU data collected in-the-wild using deep multiple-instance learning

A Papadopoulos, K Kyritsis… - IEEE Journal of …, 2019 - ieeexplore.ieee.org
Parkinson's Disease (PD) is a slowly evolving neurological disease that affects about 1% of
the population above 60 years old, causing symptoms that are subtle at first, but whose …

What engineering technology could do for quality of life in Parkinson's disease: a review of current needs and opportunities

JA Stamford, PN Schmidt… - IEEE journal of biomedical …, 2015 - ieeexplore.ieee.org
Parkinson's disease (PD) involves well-known motor symptoms such as tremor, rigidity,
bradykinesia, and altered gait, but there are also nonlocomotory motor symptoms (eg …