Literature DB >> 25910263

Automatic UPDRS Evaluation in the Sit-to-Stand Task of Parkinsonians: Kinematic Analysis and Comparative Outlook on the Leg Agility Task.

Matteo Giuberti, Gianluigi Ferrari, Laura Contin, Veronica Cimolin, Corrado Azzaro, Giovanni Albani, Alessandro Mauro.   

Abstract

In this study, we first characterize the sit-to-stand (S2S) task, which contributes to the evaluation of the degree of severity of the Parkinson's disease (PD), through kinematic features, which are then linked to the Unified Parkinson's disease rating scale (UPDRS) scores. We propose to use a single body-worn wireless inertial node placed on the chest of a patient. The experimental investigation is carried out considering 24 PD patients, comparing the obtained results directly with the kinematic characterization of the leg agility (LA) task performed by the same set of patients. We show that i) the S2S and LA tasks are rather unrelated and ii) the UPDRS distributions (for both S2S and LA tasks) across the patients have a direct impact on the observed system performance.

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Year:  2015        PMID: 25910263     DOI: 10.1109/JBHI.2015.2425296

Source DB:  PubMed          Journal:  IEEE J Biomed Health Inform        ISSN: 2168-2194            Impact factor:   5.772


  10 in total

1.  Smartphone-Based Estimation of Item 3.8 of the MDS-UPDRS-III for Assessing Leg Agility in People With Parkinson's Disease.

Authors:  Luigi Borzi; Marilena Varrecchia; Stefano Sibille; Gabriella Olmo; Carlo Alberto Artusi; Margherita Fabbri; Mario Giorgio Rizzone; Alberto Romagnolo; Maurizio Zibetti; Leonardo Lopiano
Journal:  IEEE Open J Eng Med Biol       Date:  2020-05-08

Review 2.  How Wearable Sensors Can Support Parkinson's Disease Diagnosis and Treatment: A Systematic Review.

Authors:  Erika Rovini; Carlo Maremmani; Filippo Cavallo
Journal:  Front Neurosci       Date:  2017-10-06       Impact factor: 4.677

Review 3.  A Systematic Review of Wearable Sensors for Monitoring Physical Activity.

Authors:  Annica Kristoffersson; Maria Lindén
Journal:  Sensors (Basel)       Date:  2022-01-12       Impact factor: 3.576

4.  An Integrated Multi-Sensor Approach for the Remote Monitoring of Parkinson's Disease.

Authors:  Giovanni Albani; Claudia Ferraris; Roberto Nerino; Antonio Chimienti; Giuseppe Pettiti; Federico Parisi; Gianluigi Ferrari; Nicola Cau; Veronica Cimolin; Corrado Azzaro; Lorenzo Priano; Alessandro Mauro
Journal:  Sensors (Basel)       Date:  2019-11-02       Impact factor: 3.576

5.  Hybrid Feature Extraction for Detection of Degree of Motor Fluctuation Severity in Parkinson's Disease Patients.

Authors:  Murtadha D Hssayeni; Joohi Jimenez-Shahed; Behnaz Ghoraani
Journal:  Entropy (Basel)       Date:  2019-02-01       Impact factor: 2.524

6.  A deep explainable artificial intelligent framework for neurological disorders discrimination.

Authors:  Soroosh Shahtalebi; S Farokh Atashzar; Rajni V Patel; Mandar S Jog; Arash Mohammadi
Journal:  Sci Rep       Date:  2021-05-05       Impact factor: 4.379

7.  Ensemble deep model for continuous estimation of Unified Parkinson's Disease Rating Scale III.

Authors:  Murtadha D Hssayeni; Joohi Jimenez-Shahed; Michelle A Burack; Behnaz Ghoraani
Journal:  Biomed Eng Online       Date:  2021-03-31       Impact factor: 2.819

8.  A-WEAR Bracelet for Detection of Hand Tremor and Bradykinesia in Parkinson's Patients.

Authors:  Asma Channa; Rares-Cristian Ifrim; Decebal Popescu; Nirvana Popescu
Journal:  Sensors (Basel)       Date:  2021-02-02       Impact factor: 3.576

9.  Automatic Classification of Tremor Severity in Parkinson's Disease Using a Wearable Device.

Authors:  Hyoseon Jeon; Woongwoo Lee; Hyeyoung Park; Hong Ji Lee; Sang Kyong Kim; Han Byul Kim; Beomseok Jeon; Kwang Suk Park
Journal:  Sensors (Basel)       Date:  2017-09-09       Impact factor: 3.576

10.  A Systematic Review on the Use of Wearable Body Sensors for Health Monitoring: A Qualitative Synthesis.

Authors:  Annica Kristoffersson; Maria Lindén
Journal:  Sensors (Basel)       Date:  2020-03-09       Impact factor: 3.576

  10 in total

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