JMIR Mhealth and Uhealth
| Autor: | Wenbin Zhang, Shouyan Wang, Han Zhang, Jingying Wang, Lei Zhang, Dawei Gong, Huichun Luo, Junhong Zhou |
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| Přispěvatelé: | Computer Science |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Male
medicine.medical_specialty Deep brain stimulation Parkinson's disease inertial sensor medicine.medical_treatment 0206 medical engineering Health Informatics Angular velocity Pilot Projects Information technology 02 engineering and technology gait Task (project management) 03 medical and health sciences Wearable Electronic Devices 0302 clinical medicine Gait (human) Physical medicine and rehabilitation medicine Humans Gait Disorders Neurologic Original Paper business.industry Subtraction Parkinson Disease Middle Aged T58.5-58.64 medicine.disease 020601 biomedical engineering acute levodopa challenge test deep brain stimulation Gait impairment medicine.anatomical_structure angular velocity Parkinson’s disease Female step angle Public aspects of medicine RA1-1270 Ankle business 030217 neurology & neurosurgery |
| Zdroj: | JMIR mHealth and uHealth JMIR mHealth and uHealth, Vol 8, Iss 3, p e16650 (2020) |
| Popis: | Background: Gait impairments including shuffling gait and hesitation are common in people with Parkinson's disease (PD), and have been linked to increased fall risk and freezing of gait. Nowadays the gait metrics mostly focus on the spatiotemporal characteristics of gait, but less is known of the angular characteristics of the gait, which may provide helpful information pertaining to the functional status and effects of the treatment in PD. Objective: This study aimed to quantify the angles of steps during walking, and explore if this novel step angle metric is associated with the severity of PD and the effects of the treatment including the acute levodopa challenge test (ALCT) and deep brain stimulation (DBS). Methods: A total of 18 participants with PD completed the walking test before and after the ALCT, and 25 participants with PD completed the test with the DBS on and off. The walking test was implemented under two conditions: walking normally at a preferred speed (single task) and walking while performing a cognitive serial subtraction task (dual task). A total of 17 age-matched participants without PD also completed this walking test. The angular velocity was measured using wearable sensors on each ankle, and three gait angular metrics were obtained, that is mean step angle, initial step angle, and last step angle. The conventional gait metrics (ie, step time and step number) were also calculated. Results: The results showed that compared to the control, the following three step angle metrics were significantly smaller in those with PD: mean step angle (F-1,F-48=69.75, P |
| Databáze: | OpenAIRE |
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