Sensor based detection of parkinson's disease motor symptoms

V Majhi, S Paul, G Saha… - … international conference on …, 2020 - ieeexplore.ieee.org
Parkinson's disease (PD) is consists of several symptoms categorically motor and non-motor
symptoms. Motor symptoms are the main key symptoms for identifying the PD. In general …

User-centred design of a mobile self-management solution for Parkinson's disease

AC de Barros, J Cevada, À Bayés, S Alcaine… - Proceedings of the 12th …, 2013 - dl.acm.org
Parkinson's disease (PD) is a highly prevalent and disabling condition, requiring frequent
medication adjustments. In parallel, non-adherence to medical treatment might lead to …

Watching Parkinson's disease with wrist-based sensors

JA Diao, MM Raza, KP Venkatesh, JC Kvedar - NPJ Digital Medicine, 2022 - nature.com
Parkinson's disease (PD) lacks sensitive, objective, and reliable measures for disease
progression and response. This presents a challenge for clinical trials given the multifaceted …

A real-time tracking system for tremor and trajectory estimation in Parkinson's disease affected patients

L Ferrigno, G Miele, F Milano, A Rodio… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
The paper proposes a first step toward the realization of a low cost and scalable clinical
device to monitor the evolution of Parkinson's disease based on magnetic measurements …

Parkinson's Disease Assist Device Using Machine Learning and Internet of Things

CJ Baby, A Mazumdar, H Sood, Y Gupta… - 2018 international …, 2018 - ieeexplore.ieee.org
The main purpose of the paper is to construct a prototype of a spoon which senses the hand
motion of an individual suffering from Parkinson's disease. It gives a counter motion to the …

A large observational study using mobile phone sensors reveals a personalized drug response in patients with Parkinson's Disease (S22. 004)

L Omberg, EC Neto, T Perumal, BM Bot, A Pratap… - Neurology, 2017 - AAN Enterprises
Objective: Quantify personalized daily fluctuations in Parkinson disease (PD) symptoms by
conducting a clinical observational study using the sensors in a modern smartphone to …

Monitoring motor fluctuations in Parkinson's disease using a waist-worn inertial sensor

C Pérez-López, A Samà, D Rodríguez-Martín… - … : 13th International Work …, 2015 - Springer
Parkinson's disease (PD) is the second most common neurodegenerative disorder. First
appreciable symptoms in PD are those related to an altered movement control. Current PD …

[HTML][HTML] TremorSoft: an decision support application for differential diagnosis between Parkinson's disease and essential tremor

JDL Duque, AJS Egea, HAG Rojas, P Chaná-Cuevas… - SoftwareX, 2023 - Elsevier
A cost-effective, non-invasive, and easy-to-use tool is presented that uses the 6-axis inertial
sensor of the smartphone or a specific wearable sensor, boosted by machine learning, to …

[PDF][PDF] Evaluation of Parkinson's Disease at Home: Predicting Tremor from Wearable Sensors

ML Kuijf, PL Kubben, C Herff - Prediction and real-life …, 2021 - cris.maastrichtuniversity.nl
The continuous monitoring of Parkinsons's disease (PD) symptoms would allow to
automatically adjust medication or deep brain stimulation parameters to a patient's …

Quantification of the motor symptoms of Parkinson's disease

Q Bai, T Shen, B Xu, Q Yu, H Zhang… - 2017 8th …, 2017 - ieeexplore.ieee.org
Parkinson's disease (PD) is a neurodegenerative disorder and severely affects patients'
daily lives. The diagnosis depends on the presence of one or more common motor …