Understanding stroke survivors’ preferences regarding wearable sensor feedback on functional movement: a mixed-methods study

[1] Rodgers MM(2019)Wearable technologies for active living and rehabilitation: current research challenges and future opportunities J Rehabil Assistive Technol Eng 1 2055668319839607-6106

[2] Alon G(2022)mHealth technologies used to capture walking and arm use behavior in adult stroke survivors: a scoping review beyond measurement properties Disabil Rehabil 44 6094-18

[3] Pai VM(2018)Been there, done that, so what’s next for arm and hand rehabilitation in stroke? NeuroRehabilitation 43 3-605

[4] Conroy RS(2022)Effectiveness of physical activity monitors in adults: systematic review and meta-analysis BMJ 26 38-124

[5] Torriani-Pasin C(2019)Integrating behavioral science with mobile (mHealth) technology to optimize health behavior change interventions Eur Psychol 24 594-730

[6] Demers M(2021)A perspective on the use of ecological momentary assessment and intervention to promote stroke recovery and rehabilitation Top Stroke Rehabil 28 205566831986213-840

[7] Polese JC(2019)Designing wearable technologies for users with disabilities: accessibility, usability, and connectivity factors J Rehabil Assistive Technol Eng 6 113-11

[8] Bishop L(2010)Does provision of extrinsic feedback result in improved motor learning in the upper limb poststroke? A systematic review of the evidence Neurorehabil Neural Repair 24 723-234

[9] Wade E(1998)Effects of computer feedback on adherence to exercise Percept Mot Skills 87 831-870

[10] Hempel S(2006)Extrinsic feedback for motor learning after stroke: what is the evidence? Disabil Rehabil 28 1-546

[1] Rodgers MM(2019)Wearable technologies for active living and rehabilitation: current research challenges and future opportunities J Rehabil Assistive Technol Eng 1 2055668319839607-6106

[2] Alon G(2022)mHealth technologies used to capture walking and arm use behavior in adult stroke survivors: a scoping review beyond measurement properties Disabil Rehabil 44 6094-18

[3] Pai VM(2018)Been there, done that, so what’s next for arm and hand rehabilitation in stroke? NeuroRehabilitation 43 3-605

[4] Conroy RS(2022)Effectiveness of physical activity monitors in adults: systematic review and meta-analysis BMJ 26 38-124

[5] Torriani-Pasin C(2019)Integrating behavioral science with mobile (mHealth) technology to optimize health behavior change interventions Eur Psychol 24 594-730

[6] Demers M(2021)A perspective on the use of ecological momentary assessment and intervention to promote stroke recovery and rehabilitation Top Stroke Rehabil 28 205566831986213-840

[7] Polese JC(2019)Designing wearable technologies for users with disabilities: accessibility, usability, and connectivity factors J Rehabil Assistive Technol Eng 6 113-11

[8] Bishop L(2010)Does provision of extrinsic feedback result in improved motor learning in the upper limb poststroke? A systematic review of the evidence Neurorehabil Neural Repair 24 723-234

[9] Wade E(1998)Effects of computer feedback on adherence to exercise Percept Mot Skills 87 831-870

[10] Hempel S(2006)Extrinsic feedback for motor learning after stroke: what is the evidence? Disabil Rehabil 28 1-546