Handling Gait Impairments of Persons with Parkinson’s Disease by Means of Real-Time Biofeedback in a Daily Life Environment
| Autor: | Alberto Ferrari, Reynold Greenlaw, Lorenzo Chiari, Andrew Muddiman, Pieter Ginis, Alice Nieuwboer |
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| Přispěvatelé: | Chang, CK, Chiari, L, Cao, Y, Jin, H, Mokhtari, M, Aloulou, H, Ferrari, Alberto, Ginis, Pieter, Nieuwboe, Alice, Greenlaw, Reynold, Muddiman, Andrew, Chiari, Lorenzo |
| Rok vydání: | 2016 |
| Předmět: |
030506 rehabilitation
Telemedicine medicine.medical_specialty Parkinson's disease medicine.medical_treatment Android APP Biofeedback Gait Parkinson’s disease Telerehabilitation Wearable sensors Computer Science (all) Theoretical Computer Science 03 medical and health sciences 0302 clinical medicine Gait (human) Physical medicine and rehabilitation Gait training medicine Wearable sensor Simulation business.industry Usability medicine.disease Gait analysis Smartphone app 0305 other medical science business 030217 neurology & neurosurgery |
| Zdroj: | Inclusive Smart Cities and Digital Health ISBN: 9783319396002 ICOST |
| DOI: | 10.1007/978-3-319-39601-9_22 |
| Popis: | A smartphone app with telemedicine capability integrating data from foot-mounted inertial measurement units CuPiD-system was developed to realize a portable gait analysis system and, on top of it, to provide people with Parkinson's disease PD remote supervision and real-time feedback on gait performance. Eleven persons with PD were recommended to perform gait training for 30i¾źmin, three times per week for six weeks. The app offered praising/corrective verbal feedback, encouraging participants to keep the spatio-temporal gait parameters within a clinically determined 'therapeutic window'. On average, persons performed 20 training sessions of 1.8i¾źkm in 24i¾źmin and received 28 corrective and 68 praising messages. The mean walking rhythm was 58 strides/min with a stride length of 1.28i¾źm. System's usability was determined as positive by the users. In conclusion, CuPiD resulted to be effective in promoting gait training in semi-supervised conditions, stimulating corrective actions and promoting self-efficacy to achieve optimal performance. |
| Databáze: | OpenAIRE |
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