Evaluating the usability of a co-designed power assisted exercise graphical user interface for people with stroke
暂无分享,去创建一个
K. Sage | D. Broom | R. Young | N. Snowdon | Andrew Hext | Christine Smith | David Broom
[1] MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation - Proceedings of the 18th World Congress on Medical and Health Informatics, Virtual Event, 2-4 October 2021 , 2022, MedInfo.
[2] B. Reeder,et al. Remote Usability Testing to Facilitate the Continuation of Research , 2022, MedInfo.
[3] O. Lindahl,et al. Assessments of a novel digital follow-up tool Rehabkompassen® to identify rehabilitation needs among stroke patients in an outpatient setting , 2022, Digital health.
[4] R. Young,et al. Application of the nominal group technique to inform a co-design project on power assisted exercise equipment for people with stroke , 2021, Physiotherapy.
[5] Temitope Labinjo. The use of Zoom Videoconferencing for Qualitative Data Generation: A reflective account of a research study , 2021, Open Access Journal of Biogeneric Science and Research.
[6] R. Holden,et al. Usability-In-Place—Remote Usability Testing Methods for Homebound Older Adults: Rapid Literature Review , 2020, JMIR formative research.
[7] S. Levy-Tzedek,et al. A robot goes to rehab: a novel gamified system for long-term stroke rehabilitation using a socially assistive robot—methodology and usability testing , 2021, Journal of neuroengineering and rehabilitation.
[8] K. Sage,et al. Users’ experience of community-based power assisted exercise: a transition from NHS to third sector services , 2021, International journal of qualitative studies on health and well-being.
[9] T. Lejeune,et al. Serious games for upper limb rehabilitation after stroke: a meta-analysis , 2021, Journal of NeuroEngineering and Rehabilitation.
[10] James M. Finley,et al. Using Biofeedback to Reduce Step Length Asymmetry Impairs Dynamic Balance in People Poststroke , 2021, Neurorehabilitation and neural repair.
[11] J. Kool,et al. A novel assistive therapy chair to improve trunk control during neurorehabilitation: Perceptions of physical therapists and patients. , 2021, Applied ergonomics.
[12] S. Fritz,et al. Integrating Survivors of Stroke Into Exercise‐Based Cardiac Rehabilitation Improves Endurance and Functional Strength , 2021, Journal of the American Heart Association.
[13] Karen J. Nolan,et al. Augmented-reality guided treadmill training as a modality to improve functional mobility post-stroke: A proof-of-concept case series , 2020, Topics in stroke rehabilitation.
[14] Maksut Senbekov,et al. The Recent Progress and Applications of Digital Technologies in Healthcare: A Review , 2020, International journal of telemedicine and applications.
[15] V. Kapila,et al. Developing a Framework for Designing and Deploying Technology-Assisted Rehabilitation After Stroke , 2020, American journal of physical medicine & rehabilitation.
[16] Javier Arcas Ruiz-Ruano,et al. A usability study in patients with stroke using MERLIN, a robotic system based on serious games for upper limb rehabilitation in the home setting , 2020, Journal of neuroengineering and rehabilitation.
[17] Anson B. Rosenfeldt,et al. Forced and voluntary aerobic cycling interventions improve walking capacity in individuals with chronic stroke. , 2020, Archives of physical medicine and rehabilitation.
[18] C. Lockwood,et al. Adoption of robotic stroke rehabilitation into clinical settings: a qualitative descriptive analysis. , 2020, International journal of evidence-based healthcare.
[19] N. Gothe,et al. Associations Between Physical Activity Intensities and Physical Function in Stroke Survivors , 2020, American journal of physical medicine & rehabilitation.
[20] R. Ptak,et al. The neuroanatomy of spatial awareness: a large-scale region-of-interest and voxel-based anatomical study , 2020, Brain Imaging and Behavior.
[21] R. Wondergem,et al. Effect of aerobic training on vascular and metabolic risk factors for recurrent stroke: a meta-analysis , 2019, Disability and rehabilitation.
[22] B. Dervaux,et al. Estimating the number of usability problems affecting medical devices: modelling the discovery matrix , 2019, BMC Medical Research Methodology.
[23] J. Eng,et al. Aerobic Exercise Recommendations to Optimize Best Practices in Care After Stroke: AEROBICS 2019 Update. , 2019, Physical therapy.
[24] Matthew Myers,et al. End-user and clinician perspectives on the viability of wearable functional electrical stimulation garments after stroke and spinal cord injury , 2019, Disability and rehabilitation. Assistive technology.
[25] Omar Mubin,et al. Exoskeletons With Virtual Reality, Augmented Reality, and Gamification for Stroke Patients’ Rehabilitation: Systematic Review , 2019, JMIR rehabilitation and assistive technologies.
[26] Khai N. Truong,et al. Concurrent Think-Aloud Verbalizations and Usability Problems , 2019, ACM Trans. Comput. Hum. Interact..
[27] Susy Braun,et al. Design of the user interface for “Stappy”, a sensor-feedback system to facilitate walking in people after stroke: a user-centred approach , 2019, Disability and rehabilitation. Assistive technology.
[28] K. Sage,et al. Experiences of venue based exercise interventions for people with stroke in the UK: a systematic review and thematic synthesis of qualitative research. , 2019, Physiotherapy.
[29] Grigore Burdea,et al. Assistive game controller for artificial intelligence-enhanced telerehabilitation post-stroke , 2019, Assistive technology : the official journal of RESNA.
[30] D. Howard,et al. A Three-Site Clinical Feasibility Study of a Flexible Functional Electrical Stimulation System to Support Functional Task Practice for Upper Limb Recovery in People With Stroke , 2019, Front. Neurol..
[31] David Howard,et al. Prediction of setup times for an advanced upper limb functional electrical stimulation system , 2018, Journal of rehabilitation and assistive technologies engineering.
[32] Jos M G A Schols,et al. Usability of a wearable fall detection prototype from the perspective of older people–A real field testing approach , 2018, Journal of clinical nursing.
[33] David Howard,et al. FES-UPP: A Flexible Functional Electrical Stimulation System to Support Upper Limb Functional Activity Practice , 2018, Front. Neurosci..
[34] D. Broom,et al. Power-assisted exercise for people with complex neurological impairment: a feasibility study , 2018 .
[35] C. Vlaskamp,et al. A power-assisted exercise intervention in people with profound intellectual and multiple disabilities living in a residential facility: a pilot randomised controlled trial , 2017, Clinical rehabilitation.
[36] R. Halfens,et al. Involvement of the end user: exploration of older people’s needs and preferences for a wearable fall detection device – a qualitative descriptive study , 2016, Patient preference and adherence.
[37] Farshid Amirabdollahian,et al. The experience of living with stroke and using technology: opportunities to engage and co-design with end users , 2016, Disability and rehabilitation. Assistive technology.
[38] Asim Smailagic,et al. Coaching or gaming? Implications of strategy choice for home based stroke rehabilitation , 2016, Journal of NeuroEngineering and Rehabilitation.
[39] Sijung Hu,et al. A Multi-Channel Opto-Electronic Sensor to Accurately Monitor Heart Rate against Motion Artefact during Exercise , 2015, Sensors.
[40] Anson B. Rosenfeldt,et al. Forced Aerobic Exercise Enhances Motor Recovery After Stroke: A Case Report. , 2015, The American journal of occupational therapy : official publication of the American Occupational Therapy Association.
[41] Jeffrey W Jutai,et al. Usability of a Low-Cost Head Tracking Computer Access Method following Stroke , 2015, Assistive technology : the official journal of RESNA.
[42] D. Howard,et al. Enhancing public involvement in assistive technology design research , 2015, Disability and rehabilitation. Assistive technology.
[43] L. Atack,et al. Simulation and gaming to promote health education: Results of a usability test , 2015 .
[44] K. Hunt,et al. Feedback-controlled robotics-assisted treadmill exercise to assess and influence aerobic capacity early after stroke: a proof-of-concept study , 2014, Disability and rehabilitation. Assistive technology.
[45] J. Borg,et al. Gait training early after stroke with a new exoskeleton – the hybrid assistive limb: a study of safety and feasibility , 2014, Journal of NeuroEngineering and Rehabilitation.
[46] R. Riener,et al. Augmented visual, auditory, haptic, and multimodal feedback in motor learning: A review , 2012, Psychonomic Bulletin & Review.
[47] Douglas B. Smith,et al. Assessment of the benefit of powered exercises for muscular endurance and functional capacity in elderly participants. , 2012, Journal of physical activity & health.
[48] Jeff Sauro,et al. Quantifying the User Experience: Practical Statistics for User Research , 2012 .
[49] Ian Robinson,et al. Developing medical device technologies from users' perspectives: A theoretical framework for involving users in the development process , 2009, International Journal of Technology Assessment in Health Care.
[50] James R. Lewis,et al. Psychometric Evaluation of the PSSUQ Using Data from Five Years of Usability Studies , 2002, Int. J. Hum. Comput. Interact..
[51] James R. Lewis. Psychometric Evaluation of the Post-Study System Usability Questionnaire: The PSSUQ , 1992 .
[52] R. Motl,et al. Developing a decision support system for exercise engagement among individuals with conditions causing mobility impairment: Perspectives of fitness facility fitness exercisers and adapted fitness center trainer , 2020 .
[53] Christopher Hass,et al. A Practical Guide to Usability Testing , 2019, Consumer Informatics and Digital Health.
[54] Dina Pogrebnoy,et al. Exercise programs delivered according to guidelines improve mobility in people with stroke: A Systematic Review and meta-analysis. , 2019, Archives of physical medicine and rehabilitation.
[55] Pilwon Hur,et al. Usability evaluation of low-cost virtual reality hand and arm rehabilitation games. , 2016, Journal of rehabilitation research and development.
[56] Hilde van der Togt,et al. Publisher's Note , 2003, J. Netw. Comput. Appl..