Virtually reducing fall risk in Parkinson disease

Video analysis of safety and reproducibility issues with the timed up-and-go test applied to patients with Parkinson's disease

PURPOSE

Falls are a major problem and cause poor quality of life and reduced life expectancy in people affected by Parkinson's disease (PD). The timed up-and-go (TUG) test is the most popular test of walking ability in patients with PD. However, it carries a risk of falls because patients are told to walk as quickly as possible. The purpose of this study was to characterise issues of safety and reproducibility arising in TUG tests.

METHODS

Our population was 7 hospitalised patients (4 men, 3 women) with PD and 1 healthy control. We used video capture, Motion Analyser software, and an innovative Yorisoi (snuggling nursing robot) robot.

RESULTS

We found the same movements when patients walked in time to a verbal rhythm provided by the physiotherapist and when they used the robot in walking. The TUG times were longest when the therapist provided no intervention. The typical PD patient experienced freezing of gait when rounding the reflective cone marker in the TUG test, and after turning, experienced gait festination. The patient thus encountered difficulty in using the reflective marker. Moreover, because of the characteristic PD shuffling gait, the patient's steps were difficult to count automatically. After the turn, the patient's body leaned heavily; however, if the physiotherapist or the robot applied a light force in the direction of the positive axis, it was possible to prevent a fall.

CONCLUSIONS

When applied to patients with PD, the TUG test requires modifications for safety and more accurate step counting to improve reproducibility.IMPLICATIONS FOR REHABILITATIONThe presence of a sense of security with the attendant or the robot is related to walking speed.The TUG test must be reproducible in patients with PD, regardless of whether there is a rhythm or an attendant, and must be able to count the steps in a shuffling gait.The TUG test must consider safety in patients with PD, because it is easier to fall after a turn and when sitting on a chair, and it is instructed to be in hurry walk.After making a turn, a patient's body may lean heavily; however, if a physiotherapist or a Yorisoi (snuggling nursing robot) robot applies a light force in the direction of the positive axis, it is possible to prevent a fall.Assertive technology, such as the Yorisoi robot, may be used to improve the safety TUG test in patients with PD.

Gait Disorders Questionnaire-Promising Tool for Virtual Reality Designing in Patients With Parkinson's Disease

Background: Gait disorders (GD) are frequent and disabling symptoms in patients with Parkinson's disease, mostly because they significantly limit mobility and often lead to fear of falls or actual falls. Nowadays, rehabilitation is considered to be the most effective nonpharmacological approach to reduce risk of falls. Using paradigms in virtual reality (VR) is a promising tool in neurorehabilitation because of the potential improvement in motor learning and improvement in daily functioning by replicating everyday real-life scenarios. Objective: To identify the most prevalent everyday situations which impair gait in PD that could be simulated in virtual reality (VR) environment. Methods: A newly developed self-report questionnaire consisting of 15 binary response items (YES/NO) encompassing everyday walking situations was administered to 62 patients diagnosed with idiopathic PD according to MDS Clinical Diagnostic Criteria. We included patients able to walk unassisted for at least 10 min and without significant cognitive impairment. Mokken Scale Analysis was used to evaluate psychometric properties of the scale. Results: Questionnaires from 58 patients were analyzed (31 men, age = 63 ± 9.9 y, disease duration = 7.02 ± 4.03 y, LEDD = 1115 ± 549.4 mg, H&Y = 2.4 ± 0.6). Only 10 items (out of 15) were identified as scalable and these were included in Gait Disorders Questionnaire (GDQ). The most prevalent trigger of gait disorders was walking under time pressure, followed by gait in crowded places and walking while dual-tasking. The total score of GDQ significantly correlated with the disease duration (r _s = 0.347, p = 0.008) and modified H&Y staging (r _s = 0.288, p = 0.028). Conclusion: With the use of GDQ we identified the most prevalent everyday transition activities that provoke gait disorders in patients with PD. The results may be useful for further development and systematic application of VR paradigms for physiotherapy of PD patients.