The transferable methodologies of detection sleep disorders thanks to the actigraphy device for parkinson's disease detection

J Skibinska, R Burget - International Conference on …, 2021 - researchportal.tuni.fi
Due to population aging, society is struggling with an increasing number of patients with
neurodegenerative diseases. One of them is Parkinson's disease. Early detection of …

Sleep stages classification using cardio-respiratory variables

A Gasmi, V Augusto, PA Beaudet… - 2020 IEEE 16th …, 2020 - ieeexplore.ieee.org
Analysis of sleep is important in order to detect health issues and try to prevent them. In
particular, sleep dysfunctions may be the first signs of cognitive frailties for elderly persons …

Avoiding misdiagnosis of Parkinson's disease with the use of wearable sensors and artificial intelligence

A Talitckii, E Kovalenko, A Anikina… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Parkinson's Disease (PD) is a neurodegenerative disease associated with the
extrapyramidal motor system disorder currently being the second most common …

Prodromal Diagnosis of Lewy Body Diseases Based on Actigraphy

M Mikulec, Z Galaz, J Mekyska, J Mucha… - 2022 45th …, 2022 - ieeexplore.ieee.org
This paper is devoted to the computerized auto-mated diagnosis of the prodromal state of
Lewy body diseases (LBD) based on actigraphy. LBD is a group of neurodegenerative …

A smart health monitoring technology

C Chalmers, W Hurst, M Mackay, P Fergus - … 2-5, 2016, Proceedings, Part I …, 2016 - Springer
With the implementation of the Advanced Metering Infrastructure (AMI), comes the
opportunity to gain valuable insights into an individual's daily habits, patterns and routines. A …

Convolutional neural networks applied for Parkinson's disease identification

CR Pereira, DR Pereira, JP Papa, GH Rosa… - Machine Learning for …, 2016 - Springer
Parkinson's Disease (PD) is a chronic and progressive illness that affects hundreds of
thousands of people worldwide. Although it is quite easy to identify someone affected by PD …

Early automatic detection of Parkinson's disease based on sleep recordings

J Kempfner, HBD Sorensen, M Nikolic… - Journal of Clinical …, 2014 - journals.lww.com
Idiopathic rapid-eye-movement (REM) sleep behavior disorder (iRBD) is most likely the
earliest sign of Parkinson's Disease (PD) and is characterized by REM sleep without atonia …

Assessment of the status of patients with Parkinson's disease using neural networks and mobile phone sensors

Y Shichkina, E Stanevich, Y Irishina - Diagnostics, 2020 - mdpi.com
Parkinson's disease (PD) is one of the most common chronic neurological diseases and one
of the significant causes of disability for middle-aged and elderly people. Monitoring the …

[PDF][PDF] A deep learning-based approach for the recognition of sleep disorders in patients with cognitive diseases: A case study.

G Paragliola, A Coronato - FedCSIS (Position Papers), 2017 - annals-csis.org
Alzheimer's disease is the most common type of dementia. Patients suffer from of this kind of
disease could show symptoms such as sleep disturbances, muscle rigidity or other typical …

An intelligent sensing system for sleep motion and stage analysis

JU Bak, N Giakoumidis, G Kim, H Dong, N Mavridis - Procedia Engineering, 2012 - Elsevier
Monitoring the movements of the human during sleep can potentially give us a good
estimation of aspects of the bodily as well as mental state of a human. When such data are …