Design and Development of Hardware and Software to Command a Motorized Exercise Static Bike

Previous works in literature have indicated that pedaling movements are safe, effective and accessible to patients with a wide range of motor impairments. Recent research in the field of rehabilitation has shown that patients with stroke and cerebral palsy may improve their motor and balance abilities after an early short duration of pedaling training. In this work, a novel low-cost Motor Exercise Static Bike (MESB) has been enhanced by incorporating a Raspberry Pi 3B. The enhanced MESB includes custom-made hardware and software for allowing a user to command it, in addition, to monitor its operation through a Graphical User Interface (GUI). The GUI was programmed in Python 3.5 and was tested on Ubuntu 16.04 and Raspbian (rel. 2017-09-08) operating system. An Inertial Movement Unit (IMU) was selected in order to acquire both bike’s angular velocity and position data. The angular velocity was measured in degrees per second (DPS) directly from the IMU’s gyroscope z-axis, and the angular position was calculated by integrating the angular velocity over time.

[1]  Teresa Pountney,et al.  Effects of a static bicycling programme on the functional ability of young people with cerebral palsy who are non‐ambulant , 2007, Developmental medicine and child neurology.

[2]  Teodiano Bastos,et al.  Automated Time Up and Go Test with Redundant IMU System , 2018 .

[3]  Joseph Finkelstein,et al.  Computer-assisted upper extremity training using interactive biking exercise (iBikE) platform , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[4]  Joanna M. Wardlaw,et al.  Whole Brain Magnetic Resonance Image Atlases: A Systematic Review of Existing Atlases and Caveats for Use in Population Imaging , 2017, Front. Neuroinform..

[5]  José Maria Azorín,et al.  Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent , 2017, Front. Neuroinform..

[6]  Zeevi Dvir,et al.  The influence of early cycling training on balance in stroke patients at the subacute stage. Results of a preliminary trial , 2006, Clinical rehabilitation.

[7]  J C Rosecrance,et al.  Kinematic analysis of lower-limb movement during ergometer pedaling in hemiplegic and nonhemiplegic subjects. , 1991, Physical therapy.

[8]  Lucas Oliveira da Fonseca.  Instrumentação e controle em ciclismo assistido por estimulação elétrica para indivíduos com lesão medular , 2016 .

[9]  J. Chen,et al.  Kinesiological and kinematical analysis for stroke subjects with asymmetrical cycling movement patterns. , 2005, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[10]  Kenneth A. Loparo,et al.  Design and Development of a Smart Exercise Bike for Motor Rehabilitation in Individuals With Parkinson's Disease , 2016, IEEE/ASME Transactions on Mechatronics.

[11]  Lee Shepstone,et al.  Effects of Lower Limb Reciprocal Pedalling Exercise on Motor Function after Stroke: A Systematic Review of Randomized and Nonrandomized Studies , 2012, International journal of stroke : official journal of the International Stroke Society.

[12]  Joseph Finkelstein,et al.  Interactive biking exercise (iBikE) platform to facilitate lower extremity cycling exercise: System design and feasibility , 2012, 2012 5th International Conference on BioMedical Engineering and Informatics.

[13]  Teodiano Bastos,et al.  SOFTWARE INTERFACE FOR ONLINE MONITORING OF PEDALING ON AN EXERCISE BIKE , 2018 .

[14]  Szi-Wen Chen,et al.  A Real-Time Fatigue Monitoring and Analysis System for Lower Extremity Muscles with Cycling Movement , 2014, Sensors.