Virtual reality (VR) environments for rehabilitation of individuals poststroke have focused primarily on improving movement and use of the upper and lower extremities, as well as mobility and activities of daily living. The most recent Cochrane review that summarized the state of the evidence on VR for stroke rehabilitation found that outcomes with upper extremity VR applications were more favorable than an active control condition.1 Lower extremity and mobility studies indicated that the outcomes were more favorable with VR, but the evidence on walking outcomes was not strong enough to reach significance. This may be explained in part by a lack of power, as only 3 studies2–4 were included in the lower extremity and mobility section of the Cochrane review. Alternatively, gait and mobility rehabilitation may require not only motor control training but also cardiorespiratory (CR) fitness training. Adding this element of training is important both for health promotion and for the possible transfer of training from virtual environments (VE) to real-world mobility.
It is well established that individuals poststroke are sedentary and their aerobic capacity is reduced.5,6 In a longitudinal study of individuals poststroke, it was reported that although mean peak VO2 (a measure of aerobic capacity) increased from 1 to 6 months poststroke, it was still only 73% of the capacity measured in sedentary healthy control participants.5 Similar decreases in CR fitness were found in individuals with chronic stroke. Furthermore, reduced aerobic capacity has been associated with walking limitations.7,8
Individuals poststroke have a sedentary life style and rarely meet American Heart Association's9 recommendations for physical activity,10,11 Training to reverse CR fitness deficits poststroke has been approached in various ways. These include an 8-week water-based exercise program,12 10- and 14-week cycling ergometer programs,13–15 walking programs ranging from 3 to 6 months,16,17 which have used body weight–supported treadmill training for acute5,18 as well as chronic poststroke individuals,19–21 progressive adaptive physical activity,22 and 19 weeks of community-based mobility training.23 Most recently, researchers reported that cardiovascular training, using total body recumbent stepping during 8 weeks for people with subacute stroke, improved fitness and there was a transfer of training to walking.24 The consistent finding is that CR fitness measured by peak VO2 can be improved with training.
Although it is recognized that cardiovascular health and fitness are important, there are challenges to engagement in exercise programs for health promotion. Three categories of barriers to exercise for individuals poststroke were identified in a qualitative study: stroke-related physical impairments, lack of motivation, and environmental factors.25 To complement these findings, Rimmer and colleagues26 used the Barriers to Physical Activity and Disability survey, and found that cost, lack of awareness of fitness centers, transportation, and lack of knowledge about how to and where to exercise were the top 5 barriers. For people poststroke, a specific challenge to mobility training in standing may be overcoming low self-efficacy, fear of falling,27–29 and actual falls.30,31 These factors may make it less likely for people poststroke to exercise at home where they might not have the equipment or supervision to exercise safely. In addition, adherence to long-term exercise may be compromised once individuals are discharged from a structured rehabilitation setting, where motivation may be provided through socialization with others and goals set in their rehabilitation program.25
To address some of the limitations with CR fitness training of individuals poststroke, we have developed a VR augmented cycling kit (VRACK). The system is intended to promote motor control and CR fitness. The VRACK uses a common, ubiquitous, and relatively low-cost piece of exercise equipment, a stationary bicycle, augmented by a VE. Virtual environments and active video games have been proposed as technologies to engage individuals in long-term physical activity, by promoting adherence through motivation.32 In addition, video games played by people poststroke have been shown to promote moderate exercise intensity.33 We propose that exercising in a VE combines motivation and exercise intensity and may promote health through regular exercise.
The objectives of this pilot project were to determine whether it was safe, feasible, and efficacious to use the VRACK. Specifically we wanted to know whether it was safe to exercise on the system without adverse events, feasible to be immersed and exercise for a long duration (up to an hour) with regular attendance over 8 weeks, and efficacious at the body function level of CR fitness, and at the activity level of walking endurance. We hypothesized that safety and feasibility would be demonstrated. We hypothesized as well that coupling of the VR assets34 with sound exercise physiology principles would result in CR fitness benefits and on the basis of previous work3 speculated that there would be a transfer to walking endurance.
Four individuals in the chronic phase poststroke (1 female and 3 males; ranging in age from 47 to 65 years, ≥3 years poststroke) and 1 healthy sedentary control participant (male, 48 years old) participated in this study. They were a sample of convenience. The individuals poststroke were included because they had residual lower extremity impairments (lower extremity Fugl-Meyer [FM] scores, with a range of 24–26/34), were household to limited community ambulators (walking speed ranged from 0.56 to 1.10 m/s), and reported residual walking deficits such as limitations with walking distances. The healthy control participant was included to have a reference for CR improvements to which to compare the individuals poststroke for this specific training intervention. Participants were approved to participate by their primary care physician. One of the participants (S4) was engaged in a regular exercise program, walking on a treadmill several times a week, and another participant (S3) was swimming several times a week. The other 2 participants (S1 and S2) did not have a regular exercise routine. Participants were asked to maintain their regular exercise activities and not modify them during training.
Participants were enrolled in the study after receiving permission from their primary physician. Before beginning the testing, informed written consent was obtained by the first author (J.E.D.) to participate in the study that had been approved by the Institutional Review Board of the University of Medicine and Dentistry of New Jersey. Participants were then oriented to the research protocol. Characterization of the participants' poststroke sensorimotor status was performed with the lower extremity FM and gait speed. The FM is valid and reliable35–37 and related to gait pattern and speed.38 Walking speed was collected using 3 walking trials at self-selected speed over an instrumented mat (GAITrite, CIR Systems, Sparta NJ). Validity, reliability, and minimal clinically important difference are well established.39–42
Safety was defined as the absence of adverse events, which included syncope, exceeding the parameters for safe exercise, and reports of cyber sickness (dizziness, nausea, or eye strain resulting from exposure to a VE). The description of adverse events was provided to the interventionist who was directed to manage and then record them in an interventionist's logs. Feasibility was measured using attendance, total exercise time, participants' ability to maintain each foot in the pedal, and “involvement” using the Witmer–Singer presence questionnaire (PQ).43 Presence is a subjective measure44 used in VR studies to quantify how immersed a user is in a VE. Involvement is a construct of the PQ that measures how well the VE attracts and holds the attention of the user.43,45 The PQ was used in the study as a surrogate measure of engagement. The complete version of the instrument has 32 items scored with a Likert scale, with 1 for low and 7 for high scores. In this study we only used the involvement items (items 5, 6, 10, 18, 23, and 32). During the training period, attendance and training time were taken daily, and the involvement items of the PQ were collected once a week.
Efficacy was measured at the impairment level as an improvement in peak VO2 during a submaximal ergometry test, and at the activity level with distance walked on the 6-minute walk test. The distance walked was used to explore the transfer of training from cycling in a VE to walking.
An exercise pretesting session, using YMCA Cycle Ergometry submaximal VO2 cycle stress test, was performed as per the American College of Sports Medicine (ACSM) guidelines.46 Participants were instrumented with a heart rate (HR) monitor (Polar Electro, Kempele, Finland) and outfitted with a mouthpiece. Testing was conducted using a metabolic testing system (COSMED K4b2, COSMED, Italy). Participants pedaled at 50 revolutions per minute and reported their rate of perceived exertion (RPE)47 and exercised until they achieved 85% of maximum HR or needed to stop the test because of fatigue. The HR, RPE, blood pressure (BP), and VO2 were collected using the breath-by-breath measurement technique during the last 30 seconds of each 3-minute stage. Upon completion of the training period, a posttraining bicycle stress test was performed in the same manner as the pretraining test. At the posttest, 2 participants reached 85% of their maximum HR and 2 participants stopped the test because of leg fatigue. To measure walking endurance, the 6-minute walk test was administered using standard procedures.48 Participants were asked to walk as much distance as they could in 6 minutes. The distance walked was calculated.
VR Augmented Cycling
The VRACK was designed to concurrently promote motor control, CR, and neuromuscular fitness training (see Figure 1). The kit is modular with the sensorized pedals, handlebars, and HR monitor (Polar Electro Inc, Lake Success, NY) that control the behavior of the rider's avatar in the park-like VE. The kit was designed to convert any stationary bicycle into a VR augmented cycle. In this study the VRACK was attached to a recumbent bicycle (Biodex Medical Systems, Shiley, NY) in which the workload, rate, and resistance modes were adjustable.
The VRACK is described in more detail elsewhere.49 Briefly, inputs into the VE include the force generated by each lower extremity at the instrumented pedals and HR from the HR monitor. The pedals have force transducers, which measure each lower extremity separately. If there is a force asymmetry, the rider in the VE will tilt to the weaker side. The HR data are transmitted to the VE, and this input drives the speed of the avatar. As the rider in the real world increases their HR, their avatar pedals faster. The data from the pedals and HR monitor are collected by the system and used as a measure of performance. Although both the HR and pedals were used in the study, in this article we focus on CR outcomes, so we emphasize the role of the HR. However, the pedal kinetics promote riding symmetry, which is important for the recruitment of the stroke-affected lower extremity. The ideal cycling pattern will recruit both lower extremities rather than promoting compensation by having the less-affected limb dominate the pattern.
The VE used in this study was a riding simulation with 2 avatars, one for the rider in the real world (on the left) and the other for the pacer (ahead) on the right (see Figure 2). The pacer's cycling speed was based on a target HR (THR) that was set by the therapist. The rider was instructed to catch the pacer by working at an intensity that matched their THR. The rider's HR was displayed in the VE inside a shape of a heart with a number and a beat-like sound. If the rider exceeded their THR, the heart in the environment beat louder and became larger, indicating that the rider needed to exert themselves less to stay within their safe training range. As the VRACK integrated with the bicycle's functionality, the rider's workload and the resultant HR could be adjusted by changing settings on the bicycle, such as the work rate (in watts) and the resistance mode (constant or isokinetic). In addition to using the HR input into the VE to drive a specific aerobic effort, VE features such as cycling gain (amplification or reduction of the rider's revolutions per minute) path width and path difficulty could be used to modify riders' HR and maintain their engagement.
Training on the VRACK took place over 8 weeks. Participants attended 2 times a week and cycled between 20 and 30 minutes in the first session, and session durations increased until they achieved 60-minute sessions. In some cases because individuals were not fatigued (on the basis of their RPE and observation of their coordination), they exceeded 60 minutes of training. This dose was selected on the basis of the recommendations for CR fitness training for individuals poststroke, published by the American Heart Association, which range from 2 to 5 days a week for 20 to 60 minutes a session for 2 and 12 weeks.9 As this was a feasibility trial, it was important to determine the maximum duration of training that each participant could achieve.
Training intensity was set at the beginning of the session between 20 and 30 beats per minute above the participants' resting HR. Participants were able to exceed this intensity during training, as long as their RPE was at 14 or below, and the cycling pattern did not exhibit incoordination secondary to fatigue. This decision was based on the study goals of safe exercise and the knowledge that submaximal tests may not be valid for setting exercise prescription in people poststroke. In addition, the recently published ACSM guidelines on exercise include a short discussion on exercise prescription for people with cardiovascular accidents, but they do not have specific guidelines for HR.46
Cycling included a warm-up and cool-down period as well as time in the THR zone, which was 20 to 30 bpm above resting. Exercise was continuous with no rest period. Training at the THR was interleaved with cycling that focused on intervals of cycling with attention to force production (where the bicycle resistance was increased). Exercise progression was based on HR response, reports of neuromuscular fatigue, and RPE. (See Supplemental Digital Content 2: S4 cycling in the VE, http://links.lww.com/JNPT/A54.)
Various features were manipulated in the VE: path width, complexity of the riding environment, and perturbations to increase immersion. The gain of the riders' pedaling was also manipulated to change the perception of how fast they were moving in the VE. For example, when a rider rode slower than the pacer, the gain was set to give the impression that they were riding even slower. This modulation was intended to encourage the rider to increase the riding speed and catch the pacer. Parameters on the bicycle, as well as in the VE, were varied to provide intervals of training that had greater resistance or speed. This was achieved primarily by manually changing the bicycle's workload.
Measuring HR, BP, and RPE ensured safety. The HR monitor tracked HR, which was displayed on the practitioner interface, allowing continuous monitoring. Blood pressure (using a sphygmomanometer) and RPE were recorded at 5-minute intervals for the shorter sessions and 8-minute intervals for the longer sessions. Training was ended on the basis of ACSM guidelines for exercise responses:46 (a) HR did not exceed THR and (b) BP did not exceed 200/100 mm Hg during exercise.
Safety was assessed by review of the interventionist's logs. Feasibility was measured using attendance, summarizing training time, and the involvement items of the PQ. Training time data were summarized and binned by week and as totals. Involvement was measured by summing items 5, 6, 10, 18, 23, and 32 of the PQ scores each week. The totals were averaged for the 4 participants and analyzed descriptively across the 8 weeks of training to determine participants' involvement with the training.
Efficacy was assessed by an inferential analysis of the oxygen consumption (n = 4) and by descriptive results of the 6-minute walk (n = 2) test. Although the sample size was small, the strong reliability of the oxygen consumption measure, and the interest in comparing our findings to others, informed our selection of the Wilcoxon signed-ranked test with an alpha level of 0.05 to test the hypothesis that training in VR improved aerobic capacity. The dependent variable was the peak VO2 attained during a submaximal bicycle ergometry test. Pre- and posttraining data for only 2 participants were obtained for the 6-minute walk and are presented descriptively. Testing space was not available to test S1 and S2 on the 6-minute walk test.
All of the participants completed the 8-week training program. There was 100% adherence and only 1 adverse event related to the training program. S1 had an episode of dizziness on the curves in the VE path. Decreasing the gain of her riding speed eliminated the dizziness. With the aid of a binding system at the foot, all participants were able to use both lower extremities to bicycle. Participants had their foot slip off of the peals on only 5 occasions over a total of 80 training sessions. Participants reported involvement in VR with a mean PQ score of 39 (SD 3.3) (out of a possible 42) at week 1 and 38 (SD 3) at week 8. Poststroke participants achieved between 90 and 125 minutes of bicycling each week (see Figure 3), with a total of 800 to 1000 minutes over the total training period.
All participants poststroke increased their aerobic capacity as measured by their peak VO2 (mL·kg−1·min−1). There was a statistically significant mean improvement of 13% (P = 0.035) in submaximal VO2 (with a range of 6%-24.5%) (Figure 4). A summary of the pre- and posttraining values for exercise test time (ETT), workload achieved, HR, VO2, and reported RPE is presented in Table 1. Two individuals poststroke (S1 and S3) increased their ETT and workload, although the other 2 (S2 and S4) had symptom-limited exercise tests. These participants changed their ETT, but their workload either did not change (S2) or decreased (S4). Only 1 participant had change in their RPE rating (S1). The healthy control participant also demonstrated an increase in oxygen consumption. The healthy control participant improved his peak VO2 (mL·kg−1·min−1) by 5%. Relative to the healthy control participant, the individuals poststroke had lower oxygen consumption both at the pretraining and posttraining tests.
Both participants poststroke who performed the 6-minute walk test improved (S3 increased from 179 to 229 m, and S4 increased from 331 to 355 m).
The modest objectives of this research project were met. It was safe and feasible to use the VRACK by 4 individuals in the chronic phase poststroke who ranged from household to limited community ambulators. There was 100% adherence and only 1 adverse event. The participants reported involvement with the VE, which did not decrease after 8 weeks of training. Participants achieved training durations between 40 and 70 minutes per session, with only a few instances of having their foot come off the pedal, and there was an improvement in aerobic capacity after training and for participants in whom walking was assessed, increases in walking endurance.
The results of the exercise test were presented in detail to highlight the variability of endpoints as well as the RPE and workload changes. For example, it is interesting to note that S1 had an increase in peak VO2 although her HR remained the same. She achieved the increased peak VO2 by having a higher workload and longer test. By contrast, S4 who trained at the highest intensity (by exceeding the 30 bpm above resting threshold) had a symptom-limited posttraining test and only the HR decreased. The variability of exercise test responses highlights the challenge with applying the guidelines for healthy individuals to people poststroke.
Our results compare favorably with a previous non-VR study in which individuals poststroke trained under several conditions that involved cycling coupled with strengthening.14 Lee et al14 found that the coupling of cycling and strengthening yielded better results than cycling alone and strengthening alone. The peak VO2 changes they observed, which were obtained with a maximal effort cycle ergometer test, as a measure of cardiovascular improvement, were comparable to those reported in our study. The VE utilized here may have improved the efficiency of training in that our results were obtained with one-half the amount of training time (960 minutes in our study compared with 1800 minutes in Lee et al) and a shorter total training duration (8 weeks in our study compared with 12 weeks in Lee et al).14
The dosing of our study fell within the guidelines for exercise for individuals with low fitness, for which 30 minutes of continuous exercise is recommended.50 Furthermore, we increased the intensity and duration of exercise as tolerated. This is similar to training studies with subacute51 and chronic52 stroke patients who trained on a cycle53 ergometer. Our training intensity was conservative for HR training range but more robust for duration of individual training sessions.
Although only measured in 2 participants, we report improvements in walking endurance that exceed the meaningful detectable change for the 6-minute walk test of 34 m53 for 1 participant (S3). The participant who, before the VE intervention, was training walking on treadmill 3 times a week (S4: pre- to posttraining increase of 24 m) had a lower improvement than the participant who swam (S3: pre- to posttraining increase of 50 m). The person who was swimming likely experienced greater demands from the bicycle training on his lower extremity and had more room to improve his aerobic capacity. Interestingly, both participants with stroke also decreased their gait asymmetry (calculated from the mean value of the left and right swing times) at self-selected walking speed with and without using a cane. Such results may suggest that the pedals used to promote symmetry of cycling may have transferred to symmetry of walking. S3 had a dramatic decrease in asymmetry when walking without a cane from an asymmetry of 160% to 30%. The transfer of training from exercising in the cycling VE to walking may be explained by changes in both the CR system and the recruitment of the affected lower extremity.
This is a preliminary study with a small number of participants that should be interpreted with caution. Participants were tested using a submaximal exercise test, which might have introduced errors into the measurement. Future studies may use a maximal test, which will then form the basis for higher intensity training. It is interesting to note, however, that the low training intensity (20–30 bpm above the resting HR, which was exceeded by 10 bpm on occasion) was of sufficient intensity for the participants in this study. Therefore, the precise dose requirements for exercise coupled with VE requires further study. Finally, the Witmer–Singer PQ43 has not been validated in a stroke population.
Rehabilitation of mobility and promotion of health and wellness for individuals poststroke requires a multifactorial approach. Some of the important factors are sensorimotor, cognitive, perceptual and physiological as well as social support. The ability to incorporate physiological variables to drive training intensity can expand the functionality of VR applications for poststroke rehabilitation. Certainly, it opens a line of inquiry for the application of VR to rehabilitation poststroke. However, given the complexity of training in VR, it may be difficult to isolate the active ingredient.
This model of VR-based cycling may be used to parse out the relative contributions of cognition and exercise to improvements and maintenance of health. As cycling equipment is ubiquitous in community and health centers, the possibility of stroke patients benefiting from their use might be increased if they are outfitted with the VRACK. The translation of this technology from a laboratory-based to a community-based setting remains to be tested.
To our knowledge, this is the first report to describe improvements in CR fitness for individuals poststroke trained in a VR augmented cycling environment. Although the early finding is encouraging, it requires replication and extension to rehabilitation of relevant motor behaviors for people poststroke.
1. Laver KE, George S, Thomas S, Deutsch JE, Crotty M. Virtual reality
rehabilitation. Cochrane Database Syst Rev. 2011;9:CD008349.
2. Jaffe DL, Brown DA, Pierson-Carey CD, Buckley EL, Lew HL. Stepping over obstacles to improve walking in individuals with poststroke hemiplegia. J Rehabil Res Dev. 2004;41:283–292.
3. Mirelman A, Bonato P, Deutsch JE. Effects of training with a robot-virtual reality
system compared with a robot alone on the gait of individuals after stroke
4. Yang YR, Tsai MP, Chuang TY, Sung WH, Wang RY. Virtual reality
-based training improves community ambulation in individuals with stroke
: a randomized controlled trial. Gait Posture. 2008;28:201–206.
5. MacKay-Lyons MJ, Makrides L. Longitudinal changes in exercise capacity after stroke
. Arch Phys Med Rehabil. 2004;85:1608–1612.
6. Severinsen K, Jakobsen JK, Overgaard K, Andersen H. Normalized muscle strength, aerobic capacity, and walking performance in chronic stroke
: a population-based study on the potential for endurance and resistance training. Arch Phys Med Rehabil. 2011;92:1663–1668.
7. Courbon A, Calmels P, Roche F, Ramas J, Fayolle-Minon I. Relationship between maximal exercise capacity and walking capacity in adult hemiplegic stroke
patients. Am J Phys Med and Rehabil. 2006;85:436–442.
8. Patterson SL, Forrester LW, Rodgers MM, et al. Determinants of walking function after stroke
: differences by deficit severity. Arch Phys Med Rehabil. 2007;88:115–119.
9. Gordon NF, Gulanick M, Costa F, et al. Physical activity and exercise recommendations for stroke
survivors: An American Heart Association scientific statement From the Council on Clinical Cardiology, Subcommittee on Exercise, Cardiac Rehabilitation, and Prevention; the Council on Cardiovascular Nursing; the Council on Nutrition, Physical Activity, and Metabolism; and the Stroke
Council. Circulation. 2004;109:2031–2041.
10. Baert I, Feys H, Daly D, Troosters T, Vanlandewijck Y. Are patients 1 year post-stroke
active enough to improve their physical health? Disabil Rehabil. 2012;34:574–580.
11. Rand D, Eng JJ, Tang PF, Jeng JS, Hung C. How active are people with stroke
?: use of accelerometers to assess physical activity. Stroke
12. Chu KS, Eng JJ, Dawson AS, Harris JE, Ozkaplan A, Gylfadóttir S. Water-based exercise for cardiovascular fitness
in people with chronic stroke
: a randomized controlled trial. Arch Phys Med Rehabil. 2004;85:870–874.
13. Potempa K, Lopez M, Braun LT, Szidon JP, Fogg L, Tincknell T. Physiological outcomes of aerobic exercise training in hemiparetic stroke
14. Lee MJ, Kilbreath SL, Singh MF, et al. Comparison of effect of aerobic cycle training and progressive resistance training on walking ability after stroke
: a randomized sham exercise-controlled study. J Am Geriatr Soc. 2008;56:976–985.
15. Rimmer JH, Rauworth AE, Wang EC, Nicola TL, Hill B. A preliminary study to examine the effects of aerobic and therapeutic (Nonaerobic) exercise on cardiorespiratory fitness
and coronary risk reduction in stroke
survivors. Arch Phys Med Rehabil. 2009;90:407–412.
16. Macko RF, DeSouza CA, Tretter LD, et al. Treadmill aerobic exercise training reduces the energy expenditure and cardiovascular demands of hemiparetic gait in chronic stroke
patients: a preliminary report. Stroke
17. Macko RF, Smith GV, Dobrovolny CL, Sorkin JD, Goldberg AP, Silver KH. Treadmill training improves fitness
reserve in chronic stroke
patients. Arch Phys Med Rehabil. 2001;82:879–884.
18. Texeira da Cunha Filho I, Lim PAC, Qureshy H, Henson H, Monga T, Protas EJ. A comparison of regular rehabilitation and regular rehabilitation with supported treadmill ambulation training for acute stroke
patients. J Rehabil Res Dev. 2001;38:245–255.
19. Macko R, Ivey FM, Forrester LW, et al. Treadmill exercise rehabilitation improves ambulatory function and cardiovascular fitness
in patients with chronic stroke
: a randomized, controlled trial. Stroke
20. Patterson SL, Rodgers MM, Macko RF, Forrester LW. Effect of treadmill exercise training on spatial and temporal gait parameters in subjects with chronic stroke
: a preliminary report. J Rehabil Res Dev. 2008;45:221–228.
21. Jorgensen JR, Bech-Pedersen DT, Zeeman P, Sorensen J, Andersen LL, Schonberger M. Effect of intensive outpatient physical training on gait performance and cardiovascular health in people with hemiparesis after stroke
. Phys Ther. 2010;90:527–537.
22. Michael K, Goldberg A, Treuth M, Beans J, Normandt P, Macko R. Progressive adaptive physical activity in stroke
improves balance, gait, and fitness
: preliminary results. Top Stroke
23. Pang MYC, Eng JJ, Dawson AS. Relationship between ambulatory capacity and cardiorespiratory fitness
in chronic stroke
. Chest. 2005;127:495–501.
24. Billinger SA, Mattlage AE, Ashenden AL, Lentz AA, Harter G, Rippee MA. Aerobic exercise in subacute stroke
improves cardiovascular health and physical performance. J Neurol Phys Ther. 2012;36:159–165.
25. Damush TM, Plue L, Bakas T, Schmid A, Williams LS. Barriers and facilitators to exercise among stroke
survivors. Rehabil Nurs. 2007;32:253–260.
26. Rimmer JH, Wang E, Smith D. Barriers associated with exercise and community access for individuals with stroke
. J Rehabil Res Dev. 2008;45:315–322.
27. Hellstrom K, Lindmark B. Fear of falling in patients with stroke
: a reliability study. Clin Rehabil. 1999;13:509–517.
28. Hellstrom K, Lindmark B, Wahlberg B, Fugl-Meyer AR. Self-efficacy in relation to impairments and activities of daily living disability in elderly patients with stroke
: a prospective investigation. J Rehabil Med. 2003;35:202–207.
29. Salbach NM, Mayo NE, Robichaud-Ekstrand S, Hanley JA, Richards CL, Wood-Dauphinee S. The effect of a task-oriented walking intervention on improving balance self-efficacy poststroke: a randomized, controlled trial. J Am Geriatr Soc. 2005;53:576–582.
30. Jorgensen L, Engstad T, Jacobsen BK. Higher incidence of falls in long-term stroke
survivors than in population controls: depressive symptoms predict falls after stroke
31. Lamb SE, Ferrucci L, Volapto S, Fried LP, Guralnik JM. Risk factors for falling in home-dwelling older women with stroke
: the Women's Health and Aging Study. Stroke
32. Feltz DL, Kerr NL, Irwin BC. Buddy up: the Kohler effect applied to health games. J Sport Exerc Psychol. 2011;33:506–526.
33. Hurkmans HL, Ribbers GM, Streur-Kranenburg MF, Stam HJ, van den Berg-Emons RJ. Energy expenditure in chronic stroke
patients playing Wii Sports: a pilot study. J Neuroeng Rehabil. 2011;8:38.
34. Rizzo AA, Jounghyun Kim G. A SWOT analysis of the field of virtual reality
rehabilitation and therapy. Presence. 2005;14:119–146.
35. Duncan PW, Propst M, Nelson SG. Reliability of the Fugl-Meyer assessment of sensorimotor recovery following cerebrovascular accident. Phys Ther. 1983;63:1606–1610.
36. Gladstone DJ, Danells CJ, Black SE. The Fugl-Meyer assessment of motor recovery after stroke
: a critical review of its measurement properties. Neurorehabil Neural Repair. 2002;16:232–240.
37. Sullivan KJ, Tilson JK, Cen SY, et al. Fugl-Meyer assessment of sensorimotor function after stroke
: standardized training procedure for clinical practice and clinical trials. Stroke
38. Dettmann MA, Linder MT, Sepic SB. Relationships among walking performance, postural stability, and functional assessments of the hemiplegic patient. Am J Phys Med. 1987;66:77–90.
39. Perry J, Garrett M, Gronley JK, Mulroy SJ. Classification of walking handicap in the stroke
40. Evans MD, Goldie PA, Hill KD. Systematic and random error in repeated measurements of temporal and distance parameters of gait after stroke
. Arch Phys Med Rehabil. 1997;78:725–729.
41. Richards CL, Malouin F, Dean C. Gait in stroke
: assessment and rehabilitation. Clin Geriatr Med. 1999;15:833–855.
42. Fulk GD, Echternach JL. Test-retest reliability and minimal detectable change of gait speed in individuals undergoing rehabilitation after stroke
. J Neurol Phys Ther. 2008;32:8–13.
43. Witmer BG, Singer MJ. Measuring presence in virtual environments: a presence questionnaire. Presence-Teleop Virt. 1998;7:225–240.
44. Insko BE. Being There: Concepts, Effects and Measurement of User Presence in Synthetic Environments. Amsterdam, the Netherlands: Ios Press; 2003.
45. Witmer BG, Slater CJ, Singer MJ. The factor structure of the presence questionnaire. Presence-Teleop Virt. 2005;14:298–295.
46. American College of Sports Medicinne. ACSM's Guidelines for Exercise Testing and Prescription. 9th ed. Philadelphia, PA: Lippincott Williams & Wilkins; 2013.
47. Borg GA. Psychophysical bases of perceived exertion. Med Sci Sports Exerc. 1982;14:377–381.
48. Butland RJ, Pang J, Gross ER, Woodcock AA, Geddes DM. Two-, six-, and 12-minute walking tests in respiratory disease. Br Med J (Clin Res Ed). 1982;284:1607–1608.
49. Ranky R, Sivak M, Lewis J, Gade V, Deutsch JE, Mavriodis D. VRACK-Virtual Reality
Augmented Cycling Kit: Design and Validation. Waltham, MA: IEEE-VR; 2010:4.
50. Garber CE, Blissmer B, Deschenes MR, et al. American College of Sports Medicine position stand. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness
in apparently healthy adults: guidance for prescribing exercise. Med Sci Sports Exerc. 2011;43:1334–1359.
51. Katz-Leurer M, Shochina M, Carmeli E, Friedlander Y. The influence of early aerobic training on the functional capacity in patients with cerebrovascular accident at the subacute stage. Arch Phys Med Rehabil. 2003;84:1609–1614.
52. Lennon O, Carey A, Gaffney N, Stephenson J, Blake C. A pilot randomized controlled trial to evaluate the benefit of the cardiac rehabilitation paradigm for the non-acute ischaemic stroke
population. Clin Rehabil. 2008;22:125–133.
53. Eng JJ, Dawson AS, Chu KS. Submaximal exercise in persons with stroke
: test-retest reliability and concurrent validity with maximal oxygen consumption. Arch Phys Med Rehabil. 2004;85:113–118.
fitness; health promotion; mobility; stroke; virtual reality
Supplemental Digital Content
© 2013 Neurology Section, APTA