Literature DB >> 27298575

Design and Development of a Smart Exercise Bike for Motor Rehabilitation in Individuals with Parkinson's Disease.

Hassan Mohammadi-Abdar1, Angela L Ridgel2, Fred M Discenzo3, Kenneth A Loparo4.   

Abstract

Recent studies in rehabilitation of Parkinson's disease (PD) have shown that cycling on a tandem bike at a high pedaling rate can reduce the symptoms of the disease. In this research, a smart motorized bicycle has been designed and built for assisting Parkinson's patients with exercise to improve motor function. The exercise bike can accurately control the rider's experience at an accelerated pedaling rate while capturing real-time test data. Here, the design and development of the electronics and hardware as well as the software and control algorithms are presented. Two control algorithms have been developed for the bike; one that implements an inertia load (static mode) and one that implements a speed reference (dynamic mode). In static mode the bike operates as a regular exercise bike with programmable resistance (load) that captures and records the required signals such as heart rate, cadence and power. In dynamic mode the bike operates at a user-selected speed (cadence) with programmable variability in speed that has been shown to be essential to achieving the desired motor performance benefits for PD patients. In addition, the flexible and extensible design of the bike permits readily changing the control algorithm and incorporating additional I/O as needed to provide a wide range of riding experiences. Furthermore, the network-enabled controller provides remote access to bike data during a riding session.

Entities:  

Keywords:  Parkinson’s disease; control systems; forced exercise; rehabilitation; signal processing; smart exercise bike; tandem cycling

Year:  2015        PMID: 27298575      PMCID: PMC4902297          DOI: 10.1109/TMECH.2015.2508030

Source DB:  PubMed          Journal:  IEEE ASME Trans Mechatron        ISSN: 1083-4435            Impact factor:   5.303


  9 in total

1.  Variability in cadence during forced cycling predicts motor improvement in individuals with Parkinson's disease.

Authors:  Angela L Ridgel; Hassan Mohammadi Abdar; Jay L Alberts; Fred M Discenzo; Kenneth A Loparo
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2012-10-24       Impact factor: 3.802

2.  Design and Characterization of Hand Module for Whole-Arm Rehabilitation Following Stroke.

Authors:  L Masia; Hermano Igo Krebs; P Cappa; N Hogan
Journal:  IEEE ASME Trans Mechatron       Date:  2007-08-01       Impact factor: 5.303

3.  Robot-assisted therapy for long-term upper-limb impairment after stroke.

Authors:  Albert C Lo; Peter D Guarino; Lorie G Richards; Jodie K Haselkorn; George F Wittenberg; Daniel G Federman; Robert J Ringer; Todd H Wagner; Hermano I Krebs; Bruce T Volpe; Christopher T Bever; Dawn M Bravata; Pamela W Duncan; Barbara H Corn; Alysia D Maffucci; Stephen E Nadeau; Susan S Conroy; Janet M Powell; Grant D Huang; Peter Peduzzi
Journal:  N Engl J Med       Date:  2010-04-16       Impact factor: 91.245

4.  Robot-assisted gait training is not superior to balance training for improving postural instability in patients with mild to moderate Parkinson's disease: a single-blind randomized controlled trial.

Authors:  Alessandro Picelli; Camilla Melotti; Francesca Origano; Roberta Neri; Elisa Verzè; Marialuisa Gandolfi; Andreas Waldner; Nicola Smania
Journal:  Clin Rehabil       Date:  2014-07-31       Impact factor: 3.477

5.  Forced, not voluntary, exercise improves motor function in Parkinson's disease patients.

Authors:  Angela L Ridgel; Jerrold L Vitek; Jay L Alberts
Journal:  Neurorehabil Neural Repair       Date:  2009-01-08       Impact factor: 3.919

6.  Assisted movement with enhanced sensation (AMES): coupling motor and sensory to remediate motor deficits in chronic stroke patients.

Authors:  Paul Cordo; Helmi Lutsep; Linda Cordo; W Geoffrey Wright; Timothy Cacciatore; Rachel Skoss
Journal:  Neurorehabil Neural Repair       Date:  2008-07-21       Impact factor: 3.919

7.  Test and Validation of a Smart Exercise Bike for Motor Rehabilitation in Individuals With Parkinson's Disease.

Authors:  Hassan Mohammadi-Abdar; Angela L Ridgel; Fred M Discenzo; Robert S Phillips; Benjamin L Walter; Kenneth A Loparo
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2016-03-31       Impact factor: 3.802

Review 8.  Robotic exoskeletons: a perspective for the rehabilitation of arm coordination in stroke patients.

Authors:  Nathanaël Jarrassé; Tommaso Proietti; Vincent Crocher; Johanna Robertson; Anis Sahbani; Guillaume Morel; Agnès Roby-Brami
Journal:  Front Hum Neurosci       Date:  2014-12-01       Impact factor: 3.169

9.  Robot-assisted arm training in patients with Parkinson's disease: a pilot study.

Authors:  Alessandro Picelli; Stefano Tamburin; Michele Passuello; Andreas Waldner; Nicola Smania
Journal:  J Neuroeng Rehabil       Date:  2014-03-05       Impact factor: 4.262

  9 in total
  8 in total

1.  Test and Validation of a Smart Exercise Bike for Motor Rehabilitation in Individuals With Parkinson's Disease.

Authors:  Hassan Mohammadi-Abdar; Angela L Ridgel; Fred M Discenzo; Robert S Phillips; Benjamin L Walter; Kenneth A Loparo
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2016-03-31       Impact factor: 3.802

2.  BrainCycles: Experimental Setup for the Combined Measurement of Cortical and Subcortical Activity in Parkinson's Disease Patients during Cycling.

Authors:  Maciej Gratkowski; Lena Storzer; Markus Butz; Alfons Schnitzler; Dietmar Saupe; Sarang S Dalal
Journal:  Front Hum Neurosci       Date:  2017-01-10       Impact factor: 3.169

3.  High-Cadence Cycling Promotes Sustained Improvement in Bradykinesia, Rigidity, and Mobility in Individuals with Mild-Moderate Parkinson's Disease.

Authors:  Angela L Ridgel; Dana L Ault
Journal:  Parkinsons Dis       Date:  2019-03-03

4.  Non-Motor Symptoms after One Week of High Cadence Cycling in Parkinson's Disease.

Authors:  Sara A Harper; Bryan T Dowdell; Jin Hyun Kim; Brandon S Pollock; Angela L Ridgel
Journal:  Int J Environ Res Public Health       Date:  2019-06-14       Impact factor: 3.390

Review 5.  Sensor Fusion and Smart Sensor in Sports and Biomedical Applications.

Authors:  José Jair Alves Mendes; Mário Elias Marinho Vieira; Marcelo Bissi Pires; Sergio Luiz Stevan
Journal:  Sensors (Basel)       Date:  2016-09-23       Impact factor: 3.576

6.  Wearable Solutions for Patients with Parkinson's Disease and Neurocognitive Disorder: A Systematic Review.

Authors:  Asma Channa; Nirvana Popescu; Vlad Ciobanu
Journal:  Sensors (Basel)       Date:  2020-05-09       Impact factor: 3.576

7.  Effect of a Brain-Computer Interface Based on Pedaling Motor Imagery on Cortical Excitability and Connectivity.

Authors:  Vivianne Flávia Cardoso; Denis Delisle-Rodriguez; Maria Alejandra Romero-Laiseca; Flávia A Loterio; Dharmendra Gurve; Alan Floriano; Carlos Valadão; Leticia Silva; Sridhar Krishnan; Anselmo Frizera-Neto; Teodiano Freire Bastos-Filho
Journal:  Sensors (Basel)       Date:  2021-03-12       Impact factor: 3.576

Review 8.  Smart Electrically Assisted Bicycles as Health Monitoring Systems: A Review.

Authors:  Eli Gabriel Avina-Bravo; Johan Cassirame; Christophe Escriba; Pascal Acco; Jean-Yves Fourniols; Georges Soto-Romero
Journal:  Sensors (Basel)       Date:  2022-01-08       Impact factor: 3.576

  8 in total

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