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Research Articles

Perspectives and recommendations of individuals with tetraplegia regarding wearable cameras for monitoring hand function at home: Insights from a community-based study

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References

  • Fougeyrollas P, Noreau L. Long-term consequences of spinal cord injury on social participation: the occurrence of handicap situations. Disabil Rehabil. 2000;22(4):170–80.
  • Carpenter C, Forwell SJ, Jongbloed LE, Backman CL. Community participation after spinal cord injury. Arch Phys Med Rehabil 2007;88(4):427–33.
  • Anderson KD. Targeting recovery: priorities of the spinal cord-injured population. J Neurotrauma 2004;21(10):1371–83.
  • Snoek GJ, Ijzerman MJ, Hermens HJ, Maxwell D, Biering-Sorensen F. Survey of the needs of patients with spinal cord injury: impact and priority for improvement in hand function in tetraplegics. Spinal Cord 2004;42(9):526–32.
  • American Occupational Therapy Association. Framework: domain & process. Am J Occup Ther 2014.
  • Munce SEP, Wodchis WP, Guilcher SJT, Couris CM, Verrier M, Fung K, et al. Direct costs of adult traumatic spinal cord injury in ontario. Spinal Cord 2013;51(1):64–9.
  • Burns AS, Yee J, Flett HM, Guy K, Cournoyea N. Impact of benchmarking and clinical decision making tools on rehabilitation length of stay following spinal cord injury. Spinal Cord 2013;51(2):165–9.
  • Burns AS, Ditunno JF. Establishing prognosis and maximizing functional outcomes after spinal cord injury: A review of current and future directions in rehabilitation management. Spine 2001;26(24S):S137–45.
  • Waddell KJ, Strube MJ, Bailey RR, Klaesner JW, Birkenmeier RL, Dromerick AW, et al. Does task-specific training improve upper limb performance in daily life poststroke? Neurorehabil Neural Repair 2017;31(3):290–300.
  • Craven C, Verrier M, Balioussis C, Wolfe D, Hsieh J, Noonan V, et al. Rehabilitation environmental scan atlas: capturing capacity in Canadian SCI rehabilitation. Rick Hansen Inst 2012.
  • Bell A, Grampurohit N, Marino RJ, Duff S, Kaplan G, Calhoun Thielen C, et al. Home activity-based interventions for the neurologically impaired upper extremity: a scoping review. Home Health Care Manage Practice 2020:1084822320953836.
  • Patel S, Hughes R, Hester T, Stein J, Akay M, Dy JG, et al. A novel approach to monitor rehabilitation outcomes in stroke survivors using wearable technology. Proc IEEE 2010;98(3):450–61.
  • Singh H, Musselman K, Colella TJF, McGilton KS, Iaboni A, Bayley M, et al. Exploring the perspectives of outpatient rehabilitation clinicians on the challenges with monitoring patient health, function and activity in the community. Disabil Rehabil 2020:1–10.
  • Noorkõiv M, Rodgers H, Price CI. Accelerometer measurement of upper extremity movement after stroke: A systematic review of clinical studies. J Neuroeng Rehabil 2014;11(1):1–1.
  • Brogioli M, Schneider S, Popp WL, Albisser U, Brust AK, Velstra IM, et al. Monitoring upper limb recovery after cervical spinal cord injury: insights beyond assessment scores. Front Neurol 2016;7:142.
  • Popp WL, Brogioli M, Leuenberger K, Albisser U, Frotzler A, Curt A, et al. A novel algorithm for detecting active propulsion in wheelchair users following spinal cord injury. Med Eng Phys 2016;38(3):267–74.
  • Friedman N, Rowe JB, Reinkensmeyer DJ, Bachman M. The manumeter: a wearable device for monitoring daily use of the wrist and fingers. IEEE J Biomed Heal Informatics 2014;18(6):1804–12.
  • Oess NP, Wanek J, Curt A. Design and evaluation of a low-cost instrumented glove for hand function assessment. J Neuroeng Rehabil 2012;9(1):1–1.
  • Lum PS, Shu L, Bochniewicz EM, Tran T, Chang LC, Barth J, et al. Improving accelerometry-based measurement of functional use of the upper extremity after stroke: machine learning versus counts threshold method. Neurorehabil Neural Repair 2020;34(12):1078–87.
  • Bandini A, Zariffa J. Analysis of the hands in egocentric vision: a survey. IEEE Trans Pattern Anal Mach Intell [Internet] 2020: 1–1. Available from: https://ieeexplore.ieee.org/document/9064606/.
  • Dousty M, Zariffa J. Tenodesis grasp detection in egocentric video. IEEE J Biomed Heal Informatics 2020.
  • Visee RJ, Likitlersuang J, Zariffa J. An effective and efficient method for detecting hands in egocentric videos for rehabilitation applications. IEEE Trans Neural Syst Rehabil Eng 2020;28(3):748–55.
  • Likitlersuang J, Sumitro ER, Cao T, Visée RJ, Kalsi-Ryan S, Zariffa J. Egocentric video: a new tool for capturing hand use of individuals with spinal cord injury at home. J Neuroeng Rehabil 2019;16(1):1–1.
  • Nguyen THC, Nebel JC, Florez-Revuelta F. Recognition of activities of daily living with egocentric vision: a review. Sensors (Switzerland) 2016;16(1):72.
  • McGinnis PQ, Hack LM, Nixon-Cave K, Michlovitz SL. Factors that influence the clinical decision making of physical therapists in choosing a balance assessment approach. Phys Ther 2009;89(3):233–47.
  • Likitlersuang J, Zariffa J. Interaction detection in egocentric video: toward a novel outcome measure for upper extremity function. IEEE J Biomed Heal Informat 2018;22(2):561–69.
  • Bandini A, Dousty M, Zariffa J. A wearable vision-based system for detecting hand-object interactions in individuals with cervical spinal cord injury: first results in the home environment. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; 2020 (pp. 2159–2162).
  • Gelonch O, Ribera M, Codern-Bové N, Ramos S, Quintana M, Chico G, et al. Acceptability of a lifelogging wearable camera in older adults with mild cognitive impairment: a mixed-method study. BMC Geriatr 2019;19(1):1–10.
  • Gupta R, Crane M, Gurrin C. Considerations on privacy in the era of digitally logged lives. Online Inf Rev 2021;45(2):278–296.
  • Likitlersuang J, Sumitro ER, Theventhiran P, Kalsi-Ryan S, Zariffa J. Views of individuals with spinal cord injury on the use of wearable cameras to monitor upper limb function in the home and community. J Spinal Cord Med 2017;40(6):706–14.
  • Likitlersuang J, Visée RJ, Kalsi-Ryan S, Zariffa J. Capturing hand use of individuals with spinal cord injury at home using egocentric video: A feasibility study. Spinal Cord Series and Cases. 2021;7(1):1–9.
  • Catz A, Itzkovich M, Tesio L, Biering-Sorensen F, Weeks C, Laramee MT, et al. A multicenter international study on the spinal cord independence measure, version III: rasch psychometric validation. Spinal Cord 2007;45(4):275–91.
  • Kalsi-Ryan S, Beaton D, Curt A, Duff S, Popovic MR, Rudhe C, et al. The graded redefined assessment of strength sensibility and prehension: reliability and validity. J Neurotrauma 2012;29(5):905–14.
  • Kirshblum SC, Waring W, Biering-Sorensen F, Burns SP, Johansen M, Schmidt-Read M, et al. Reference for the 2011 revision of the International Standards for Neurological Classification of spinal cord injury. J Spinal Cord Medi 2011;34(6):547–54.
  • Tsai M-F, Bandini A, Wang RH, Zariffa J. Capturing representative hand Use at home using egocentric video in individuals with upper limb impairment. J Vis Exp 2020;166:e61898.
  • Damschroder LJ, Aron DC, Keith RE, Kirsh SR, Alexander JA, Lowery JC. Fostering implementation of health services research findings into practice: A consolidated framework for advancing implementation science. Implement Sci 2009;4(1):1–5.
  • Wisdom J, Creswell JW. Integrating quantitative and qualitative data collection and analysis while studying patient-centered medical home models. Agency Healthc Res Qual 2013:13–0028.
  • Graneheim UH, Lundman B. Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness. Nurse Educ Today 2004;24(2):105–12.
  • Creswell JW, Creswell JD. Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications; 2017 Nov 27.
  • Uittenbogaard R, Sebastian C, Vijverberg J, Boom B, Gavrila DM, De With PHN. Privacy protection in street-view panoramas using depth and multi-view imagery. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; 2019 (pp. 10581–10590).
  • Fan L. Practical image obfuscation with provable privacy. In: Proceedings – IEEE International Conference on Multimedia and Expo; 2019 (pp. 784–789).