Published on in Vol 3, No 1 (2016): Jan-Jun

A Personalized Self-Management Rehabilitation System with an Intelligent Shoe for Stroke Survivors: A Realist Evaluation

A Personalized Self-Management Rehabilitation System with an Intelligent Shoe for Stroke Survivors: A Realist Evaluation

A Personalized Self-Management Rehabilitation System with an Intelligent Shoe for Stroke Survivors: A Realist Evaluation

Journals

  1. de Vries J, van Ommeren A, Prange-Lasonder G, Rietman J, Veltink P. Detection of the intention to grasp during reach movements. Journal of Rehabilitation and Assistive Technologies Engineering 2018;5:205566831775285 View
  2. Lazarou I, Nikolopoulos S, Petrantonakis P, Kompatsiaris I, Tsolaki M. EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21st Century. Frontiers in Human Neuroscience 2018;12 View
  3. Munoz-Organero M, Parker J, Powell L, Mawson S. Assessing Walking Strategies Using Insole Pressure Sensors for Stroke Survivors. Sensors 2016;16(10):1631 View
  4. Munoz-Organero M, Littlewood C, Parker J, Powell L, Grindell C, Mawson S. Identification of Walking Strategies of People With Osteoarthritis of the Knee Using Insole Pressure Sensors. IEEE Sensors Journal 2017;17(12):3909 View
  5. Parker J, Powell L, Mawson S. Effectiveness of Upper Limb Wearable Technology for Improving Activity and Participation in Adult Stroke Survivors: Systematic Review. Journal of Medical Internet Research 2020;22(1):e15981 View
  6. Powell L, Parker J, Harpin V, Mawson S. Guideline Development for Technological Interventions for Children and Young People to Self-Manage Attention Deficit Hyperactivity Disorder: Realist Evaluation. Journal of Medical Internet Research 2019;21(4):e12831 View
  7. Olafsdottir S, Jonsdottir H, Magnusson C, Caltenco H, Kytö M, Maye L, McGookin D, Bjartmarz I, Arnadottir S, Hjaltadottir I, Hafsteinsdottir T. Developing ActivABLES for community-dwelling stroke survivors using the Medical Research Council framework for complex interventions. BMC Health Services Research 2020;20(1) View
  8. Munoz-Organero M, Parker J, Powell L, Davies R, Mawson S. Sensor Optimization in Smart Insoles for Post-Stroke Gait Asymmetries Using Total Variation and L1Distances. IEEE Sensors Journal 2017;17(10):3142 View
  9. Jafari N, Adams K, Tavakoli M, Wiebe S, Janz H. Usability testing of a developed assistive robotic system with virtual assistance for individuals with cerebral palsy: a case study. Disability and Rehabilitation: Assistive Technology 2018;13(6):517 View
  10. Orendurff M, Kobayashi T, Villarosa C, Coleman K, Boone D. Comparison of a computerized algorithm and prosthetists’ judgment in rating functional levels based on daily step activity in transtibial amputees. Journal of Rehabilitation and Assistive Technologies Engineering 2016;3:205566831667053 View
  11. Bakker M, Beijer L, Rietveld T. Considerations on Effective Feedback in Computerized Speech Training for Dysarthric Speakers. Telemedicine and e-Health 2019;25(5):351 View
  12. Batten H, McPhail S, Mandrusiak A, Varghese P, Kuys S. Gait speed as an indicator of prosthetic walking potential following lower limb amputation. Prosthetics and Orthotics International 2019;43(2):196 View
  13. Fitter N, Mohan M, Kuchenbecker K, Johnson M. Exercising with Baxter: preliminary support for assistive social-physical human-robot interaction. Journal of NeuroEngineering and Rehabilitation 2020;17(1) View
  14. Hobson E, Baird W, Partridge R, Cooper C, Mawson S, Quinn A, Shaw P, Walsh T, Wolstenholme D, Mcdermott C. The TiM system: developing a novel telehealth service to improve access to specialist care in motor neurone disease using user-centered design. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration 2018;19(5-6):351 View
  15. Karinharju K, Boughey A, Tweedy S, Clanchy K, Trost S, Gomersall S. Validity of the Apple Watch® for monitoring push counts in people using manual wheelchairs. The Journal of Spinal Cord Medicine 2021;44(2):212 View
  16. Nam J, Kim H. How assistive devices affect activities of daily living and cognitive functions of people with brain injury: a meta-analysis. Disability and Rehabilitation: Assistive Technology 2018;13(3):305 View
  17. Olafsdottir S, Jonsdottir H, Bjartmarz I, Magnusson C, Caltenco H, Kytö M, Maye L, McGookin D, Arnadottir S, Hjaltadottir I, Hafsteinsdottir T. Feasibility of ActivABLES to promote home-based exercise and physical activity of community-dwelling stroke survivors with support from caregivers: A mixed methods study. BMC Health Services Research 2020;20(1) View
  18. Castellanos-Cruz J, Gómez-Medina M, Tavakoli M, Pilarski P, Adams K. Comparison of Attentive and Explicit Eye Gaze Interfaces for Controlling Haptic Guidance of a Robotic Controller. Journal of Medical Robotics Research 2019;04(03n04):1950005 View
  19. Davies R, Parker J, McCullagh P, Zheng H, Nugent C, Black N, Mawson S. A Personalized Self-Management Rehabilitation System for Stroke Survivors: A Quantitative Gait Analysis Using a Smart Insole. JMIR Rehabilitation and Assistive Technologies 2016;3(2):e11 View
  20. Powell L, Parker J, Martyn St-James M, Mawson S. The Effectiveness of Lower-Limb Wearable Technology for Improving Activity and Participation in Adult Stroke Survivors: A Systematic Review. Journal of Medical Internet Research 2016;18(10):e259 View
  21. Jung H, Daneault J, Nanglo T, Lee H, Kim B, Kim Y, Lee S. Effectiveness of a Serious Game for Cognitive Training in Chronic Stroke Survivors with Mild-to-Moderate Cognitive Impairment: A Pilot Randomized Controlled Trial. Applied Sciences 2020;10(19):6703 View
  22. Baumgartner C, Baumgartner J, Pirker-Kees A, Rumpl E. Wearables in der Schlaganfallmedizin. Klinische Neurophysiologie 2021;52(01):10 View
  23. Rennick-Egglestone S, Mawson S. Homes of Stroke Survivors Are a Challenging Environment for Rehabilitation Technologies. JMIR Rehabilitation and Assistive Technologies 2021;8(2):e12029 View
  24. Sun X, Xu K, Shi Y, Li H, Li R, Yang S, Jin H, Feng C, Li B, Xing C, Qu Y, Wang Q, Chen Y, Yang T, Si W. Discussion on the Rehabilitation of Stroke Hemiplegia Based on Interdisciplinary Combination of Medicine and Engineering. Evidence-Based Complementary and Alternative Medicine 2021;2021:1 View
  25. Lyons S, Smith J, Segal A, Orendurff M. Evaluating Real-World Ambulation and Activity in Prosthetic Users with Wearable Sensors. Current Physical Medicine and Rehabilitation Reports 2022;10(1):8 View
  26. Seth M, Pohlig R, Hicks G, Sions J. Clinical mobility metrics estimate and characterize physical activity following lower-limb amputation. BMC Sports Science, Medicine and Rehabilitation 2022;14(1) View
  27. Cruz-Martínez R, Wentzel J, Sanderman R, van Gemert-Pijnen J. Tailoring eHealth design to support the self-care needs of patients with cardiovascular diseases: a vignette survey experiment. Behaviour & Information Technology 2022;41(14):3065 View
  28. Kilbride C, Scott D, Butcher T, Norris M, Warland A, Anokye N, Cassidy E, Baker K, Athanasiou D, Singla-Buxarrais G, Nowicky A, Ryan J. Safety, feasibility, acceptability and preliminary effects of the Neurofenix platform for Rehabilitation via HOMe Based gaming exercise for the Upper-limb post Stroke (RHOMBUS): results of a feasibility intervention study. BMJ Open 2022;12(2):e052555 View
  29. Heo J, Song C, Jung S. The Influence of Auditory-Feedback Device Using Wearable Air-Pressure Insole on Spatiotemporal Gait Symmetry in Chronic Hemplegia. Physical Therapy Rehabilitation Science 2021;10(3):311 View
  30. Cruz-Martínez R, Wentzel J, Bente B, Sanderman R, van Gemert-Pijnen J. Toward the Value Sensitive Design of eHealth Technologies to Support Self-management of Cardiovascular Diseases: Content Analysis. JMIR Cardio 2021;5(2):e31985 View
  31. Ahmed M, Amir S, Atiba S, Rony R, Verdezoto N, Sparkes V, Stawarz K, Ahmed N. A Low-Cost Wearable System to Support Upper Limb Rehabilitation in Resource-Constrained Settings. SSRN Electronic Journal 2022 View
  32. Kawasaki M, Nishiura Y, Mizuno J, Inoue T. Provision status of assistive products for cognition to older adults with cognitive impairment among rehabilitation therapists. Disability and Rehabilitation: Assistive Technology 2023:1 View
  33. Nam M, Jung Y, Kim C, Kim M. Study on Effects of Auditory Feedback and Application of Functional Electrical Stimulation During Gait on Balance, Gait and Lower Extremity Function in Patients with Subacute Stroke. Journal of The Korean Society of Physical Medicine 2023;18(3):55 View
  34. Gooch H, Jarvis K, Stockley R. Behavior Change Approaches in Digital Technology–Based Physical Rehabilitation Interventions Following Stroke: Scoping Review. Journal of Medical Internet Research 2024;26:e48725 View
  35. Ali A, Kumaran D, Unni A, Sardesai S, Prabhu V, Nirmal P, Pai A, Guddattu V, Arumugam A. Effectiveness of an Intensive, Functional, and Gamified Rehabilitation Program on Upper Limb Function in People With Stroke (EnteRtain): A Multicenter Randomized Clinical Trial. Neurorehabilitation and Neural Repair 2024;38(4):243 View
  36. Rony R, Amir S, Ahmed N, Atiba S, Verdezoto N, Sparkes V, Stawarz K. Understanding the Sociocultural Challenges and Opportunities for Affordable Wearables to Support Poststroke Upper-Limb Rehabilitation: Qualitative Study. JMIR Rehabilitation and Assistive Technologies 2024;11:e54699 View
  37. Saxena P, Raghavan D. Reliability of an Android Based Free Application for Assessment of Hearing Loss in Adults. Indian Journal of Otolaryngology and Head & Neck Surgery 2024 View
  38. Höhler C, Hermsdörfer J, Jahn K, Krewer C. The assistive potential of functional electrical stimulation to support object manipulation in functional upper extremity movements after stroke: A randomized cross-over study. Journal of Central Nervous System Disease 2024;16 View

Books/Policy Documents

  1. Sjölinder M, Avatare Nöu A, Kolkowska E, Johansson L, Ridderstolpe A, Scandurra I. Human Aspects of IT for the Aged Population. Applications in Health, Assistance, and Entertainment. View
  2. Syed Ali Fathima S, Shankar S, Ahamed Thajudeen A. Advances in Materials Research. View
  3. Ahmed M, Amir S, Atiba S, Rony R, Dias N, Sparkes V, Stawarz K, Ahmed N. Pervasive Computing Technologies for Healthcare. View