Body-worn sensors for remote monitoring of Parkinson's disease motor symptoms: vision, state of the art, and challenges ahead

S Del Din, C Kirk, AJ Yarnall… - Journal of …, 2021 - content.iospress.com
The increasing prevalence of neurodegenerative conditions such as Parkinson's disease
(PD) and related mobility issues places a serious burden on healthcare systems. The COVID …

Overview on wearable sensors for the management of Parkinson's disease

C Moreau, T Rouaud, D Grabli, I Benatru… - npj Parkinson's …, 2023 - nature.com
Parkinson's disease (PD) is affecting about 1.2 million patients in Europe with a prevalence
that is expected to have an exponential increment, in the next decades. This epidemiological …

[Retracted] Wearable Wireless Body Area Networks for Medical Applications

CA Tavera, JH Ortiz, OI Khalaf… - … Methods in Medicine, 2021 - Wiley Online Library
In recent times, there has been a significant growth in networks known as the wireless body
area networks (WBANs). A WBAN connects distributed nodes throughout the human body …

Wearable multisource quantitative gait analysis of Parkinson's diseases

J Xie, H Zhao, J Cao, Q Qu, H Cao, WH Liao… - Computers in Biology …, 2023 - Elsevier
As the motor symptoms of Parkinson's disease (PD) are complex and influenced by many
factors, it is challenging to quantify gait abnormalities adequately using a single type of …

Smartwatch for the analysis of rest tremor in patients with Parkinson's disease

R López-Blanco, MA Velasco… - Journal of the …, 2019 - Elsevier
Wearable technology used in Parkinson's disease (PD) research has become an increasing
focus of interest in this field. Our group assessed the feasibility, clinical correlation, reliability …

Deep phenotyping of Parkinson's disease

ER Dorsey, L Omberg, E Waddell… - Journal of …, 2020 - journals.sagepub.com
Phenotype is the set of observable traits of an organism or condition. While advances in
genetics, imaging, and molecular biology have improved our understanding of the …

Mobile health platform based on user-centered design to promote exercise for patients with peripheral artery disease

M Kim, Y Kim, M Choi - BMC Medical Informatics and Decision Making, 2022 - Springer
Background Peripheral artery disease (PAD) is a cardiovascular disease that can be
improved by risk factor modification. Mobile health (mHealth) intervention is an effective …

The use of wearables for the diagnosis and treatment of Parkinson's disease

H Reichmann, L Klingelhoefer, J Bendig - Journal of Neural Transmission, 2023 - Springer
Parkinson's disease (PD) is the second most common neurodegenerative disorder, with
increasing numbers of affected patients. Many patients lack adequate care due to insufficient …

A decision support system based on recurrent neural networks to predict medication dosage for patients with Parkinson's disease

A Riasi, M Delrobaei, M Salari - Scientific Reports, 2024 - nature.com
Using deep learning has demonstrated significant potential in making informed decisions
based on clinical evidence. In this study, we deal with optimizing medication and …

Big sensed data meets deep learning for smarter health care in smart cities

AA Obinikpo, B Kantarci - Journal of Sensor and Actuator Networks, 2017 - mdpi.com
With the advent of the Internet of Things (IoT) concept and its integration with the smart city
sensing, smart connected health systems have appeared as integral components of the …