Healthy Volunteers
Conditions
Keywords
virtual reality, COPD, exercise capacity
Brief summary
The 20th century brought a dynamic development of new technologies, including virtual reality (VR). VR is an artificial image generated by IT technologies. It is most often associated with entertainment, but has a much wider application in other fields. The aim of the study is to assess the influence of the application of immersive virtual reality during an exercise capacity test on a bicycle ergometer.
Detailed description
Scientists suggests that there are four types of virtual reality: immersive virtual reality, desktop virtual reality (i.e., low-cost homebrew virtual reality), projection virtual reality, and simulation virtual reality. The sense of presence or immersion is a critical feature distinguishing virtual reality from other types of computer applications. It seems interesting whether immersion in virtual reality can influence the assessment of exercise capacity. The aim of the study is to assess the influence of the application of immersive virtual reality during an exercise capacity test on a bicycle ergometer. It is assumed that an exercise capacity test on a cycloergometer will be performed in a traditional form and in a virtual reality.
Interventions
DEVICEExercise capacity test
Patients will be assessed by symptom-limited maximal cardiopulmonary exercise testing (CPET) following a 25W, tree-minute stage, beginning at 25W (healthy volunteers will start the test with a load of 50W). For both sexes and arms, participants will be instructed during the test to remain at the frequency between 60 to 80 rotations per minute (rpm). Heart rate (HR) will be continuously recorded using a monitor Polar H10.
DEVICEExercise capacity test in virtual reality
Patients will be assessed by symptom-limited maximal cardiopulmonary exercise testing (CPET) following a 25W, tree-minute stage, beginning at 25W (healthy volunteers will start the test with a load of 50W). For both sexes and arms, participants will be instructed during the test to remain at the frequency between 60 to 80 rotations per minute (rpm).Heart rate (HR) will be continuously recorded using a monitor Polar H10. VR HTC Vive Pro goggles along with VR health care (aerobic exercise) VR Cycling software will be used for stimulation throughout the duration of the test. The HTC Vive Tracker device will be also use to link images in virtual reality with the pedal speed.
Sponsors
The Opole University of Technology
Study design
Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
DIAGNOSTIC
Masking
SINGLE (Outcomes Assessor)
Intervention model description
Each individual will be evaluated by a traditional test and a virtual reality test.
Eligibility
Sex/Gender
ALL
Age
20 Years to 25 Years
Healthy volunteers
Yes
Inclusion criteria
1\. Female and male, age: 20-25 years
Exclusion criteria
1. diagnosed internal diseases 2. diseases and injuries of the locomotors system impairing the function of transport 3 Cognitive disorders preventing contact with the patient, Mini-Mental State Examination \< 24 points.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Exercise Testing- cycle ergometer | First or second day of the assessment - the traditional exercise test | The exercise test on an electronically-braked cycle ergometer (Lode Excalibur Sport PFM) was used for evaluation. Test began with a unloaded cycling for 3 minutes, then 50W for 3 minutes followed by an incremental phase in which work rate increased by 25 watts every 3 minutes. Heart rate (HR) was continuously recorded. These submaximal tests were terminated when the subjects reached 85% of the age-predicted maximal HR (calculated as 220 - age) |
| HRV | First or second day of the assessment - the exercise test in VR | The Polar H10 monitor (Polar Electro Oy Inc., Kempele, Finland) was employed to record heart rate series at a sampling frequency of 1000 Hz. All HRV analyses were carried out with the Kubios HRV Premium version 3.3.1 (HRV analysis, University of Eastern Finland). The R-R interval series were filtered with the artifact correction algorithm which was set at the automatic mode. Time- and frequency-domain HRV parameters were analyzed. |
Countries
Poland
Outcome results
None listed