Self-directed arm therapy at home after stroke with a sensor-based virtual reality training system. Issue 1 (December 2016)
- Record Type:
- Journal Article
- Title:
- Self-directed arm therapy at home after stroke with a sensor-based virtual reality training system. Issue 1 (December 2016)
- Main Title:
- Self-directed arm therapy at home after stroke with a sensor-based virtual reality training system
- Authors:
- Wittmann, Frieder
Held, Jeremia
Lambercy, Olivier
Starkey, Michelle
Curt, Armin
Höver, Raphael
Gassert, Roger
Luft, Andreas
Gonzenbach, Roman - Abstract:
- Abstract Background The effect of rehabilitative training after stroke is dose-dependent. Out-patient rehabilitation training is often limited by transport logistics, financial resources and a lack of motivation/compliance. We studied the feasibility of an unsupervised arm therapy for self-directed rehabilitation therapy in patients' homes. Methods An open-label, single group study involving eleven patients with hemiparesis due to stroke (27 ± 31.5 months post-stroke) was conducted. The patients trained with an inertial measurement unit (IMU)-based virtual reality system (ArmeoSenso) in their homes for six weeks. The self-selected dose of training with ArmeoSenso was the principal outcome measure whereas the Fugl-Meyer Assessment of the upper extremity (FMA-UE), the Wolf Motor Function Test (WMFT) and IMU-derived kinematic metrics were used to assess arm function, training intensity and trunk movement. Repeated measures one-way ANOVAs were used to assess differences in training duration and clinical scores over time. Results All subjects were able to use the system independently in their homes and no safety issues were reported. Patients trained on 26.5 ± 11.5 days out of 42 days for a duration of 137 ± 120 min per week. The weekly training duration did not change over the course of six weeks (p = 0.146). The arm function of these patients improved significantly by 4.1 points (p = 0.003) in the FMA-UE. Changes in the WMFT were not significant (p = 0.552). ArmeoSenso basedAbstract Background The effect of rehabilitative training after stroke is dose-dependent. Out-patient rehabilitation training is often limited by transport logistics, financial resources and a lack of motivation/compliance. We studied the feasibility of an unsupervised arm therapy for self-directed rehabilitation therapy in patients' homes. Methods An open-label, single group study involving eleven patients with hemiparesis due to stroke (27 ± 31.5 months post-stroke) was conducted. The patients trained with an inertial measurement unit (IMU)-based virtual reality system (ArmeoSenso) in their homes for six weeks. The self-selected dose of training with ArmeoSenso was the principal outcome measure whereas the Fugl-Meyer Assessment of the upper extremity (FMA-UE), the Wolf Motor Function Test (WMFT) and IMU-derived kinematic metrics were used to assess arm function, training intensity and trunk movement. Repeated measures one-way ANOVAs were used to assess differences in training duration and clinical scores over time. Results All subjects were able to use the system independently in their homes and no safety issues were reported. Patients trained on 26.5 ± 11.5 days out of 42 days for a duration of 137 ± 120 min per week. The weekly training duration did not change over the course of six weeks (p = 0.146). The arm function of these patients improved significantly by 4.1 points (p = 0.003) in the FMA-UE. Changes in the WMFT were not significant (p = 0.552). ArmeoSenso based metrics showed an improvement in arm function, a high number of reaching movements (387 per session), and minimal compensatory movements of the trunk while training. Conclusions Self-directed home therapy with an IMU-based home therapy system is safe and can provide a high dose of rehabilitative therapy. The assessments integrated into the system allow daily therapy monitoring, difficulty adaptation and detection of maladaptive motor patterns such as trunk movements during reaching. Trial registration Unique identifier:NCT02098135 . … (more)
- Is Part Of:
- Journal of neuroengineering and rehabilitation. Volume 13:Issue 1(2016)
- Journal:
- Journal of neuroengineering and rehabilitation
- Issue:
- Volume 13:Issue 1(2016)
- Issue Display:
- Volume 13, Issue 1 (2016)
- Year:
- 2016
- Volume:
- 13
- Issue:
- 1
- Issue Sort Value:
- 2016-0013-0001-0000
- Page Start:
- 1
- Page End:
- 10
- Publication Date:
- 2016-12
- Subjects:
- Rehabilitation -- Stroke -- Feasibility -- Arm -- Virtual reality therapy -- Video games
Nervous system -- Diseases -- Patients -- Rehabilitation -- Periodicals
Nervous system -- Wounds and injuries -- Rehabilitation -- Periodicals
Biomedical engineering
616.8043005 - Journal URLs:
- http://www.jneuroengrehab.com/ ↗
http://link.springer.com/ ↗ - DOI:
- 10.1186/s12984-016-0182-1 ↗
- Languages:
- English
- ISSNs:
- 1743-0003
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9889.xml