Helena M. Mentis
Rita Shewbridge
ABSTRACT
The purpose of this study is to address the use of movement assessment sensors for clinical diagnosis and treatment. Eleven patients with Parkinson's disease who had under-gone deep brain stimulation (DBS) surgery were observed during follow-up appointments for adjustments to the stimulation settings. We examine the ways in which the patients and clinicians assess movement ability together in the clinic and how these assessments relate to the treatment of functional disability through DBS. We have found that effective assessment of movement and treatment efficacy is a collaborative and interpretive process (co-interpretation) that relies on input from patients, clinicians, and caregivers. From these findings we describe the design directions for movement sensors to support co-interpretation of movement in a clinical context as opposed to simply movement definition.
- Alač, M. (2008). Working with brain scans: Digital images and gestural interaction in fMRI laboratory. Social Studies of Science, 38(4), 483--508.Google Scholar
Cross Ref
- Baston, C., Mancini, M., Schoneburg, B., Horak, F., & Rocchi, L. (2014). Postural strategies assessed with inertial sensors in healthy and parkinsonian subjects. Gait & posture, 40(1), 70--5.Google Scholar
- Bonato, P., Sherrill, D. M., Standaert, D. G., Salles, S. S. & Akay, M. (2004). Data mining techniques to detect motor fluctuations in Parkinson's disease. Proc. Conf. IEEE Eng. Med. Biol. Soc., 7, 4766--9.Google ScholarCross Ref
- Brown, R.G., MacCarthy, B., Jahanshahi, M., Marsden, C.D. (1989). Accuracy of self-reported disability in patients with Parkinsonism. Arch Neurol., 46, 955--9.Google ScholarCross Ref
- Chen, Y. (2011). Health information use in chronic care cycles. In Proc. CSCW, 485--8. Google ScholarDigital Library
- Coovert, S. A., Ducey, A., Grichanik, M., Coovert, M. D., & Nelson, R. (2012). Hey doc, is that your stethoscope?: increasing engagement in medical education and training with iPads. In Proc of CSCW, 71--4. Google ScholarDigital Library
- El-Gohary, M., Pearson, S., Mcnames, J., Mancini, M., Horak, F., Mellone, S., and Chiari. L. (2014). Continuous Monitoring of Turning in Patients with Movement Disability. Sensors, 14(1), 356--69.Google ScholarCross Ref
- Frost, J., & Smith, B. (2002). Visualizing health practice to treat diabetes. In CHI'02 Extended Abstracts, 606--7. Google ScholarDigital Library
- Gabel M., Renshaw E., Schuster A., & Gilad-Bachrach R. (2012). Full Body Gait Analysis with Kinect. Annual International Conference of the IEEE Engineering in Medicine and Biology Society.Google Scholar
- Ghika, J., Wiegner, A. W., Fang, J. J., Davies, L. , Young, R. R. & Growdon, J. H. (1993). Portable system for quantifying motor abnormalities in Parkinson's disease. IEEE Trans. Biomed. Eng., 40(3), 276--83.Google ScholarCross Ref
- Grimes, A., Landry, B. M., & Grinter, R. E. (2010). Characteristics of shared health reflections in a local community. In Proc of CSCW, 435--44. Google ScholarDigital Library
- Hasegawa, H., Samuel, M., Douiri, A., Ashkan, K. (2014). Patients' Expectations in Subthalamic Nucleus Deep Brain Stimulation Surgery for Parkinson Disease. World Federation of Neurosurgical Societies.Google ScholarCross Ref
- Heath, C., Hindmarsh, J., & Luff, P. (2010). Video in qualitative research. Sage Publications.Google Scholar
- Higginson IJ, Astin P., Dolan S. (1998). Where do cancer patients die? Ten-year trends in the place of death of cancer patients in England. Pall. Med., 12, 353--63.Google ScholarCross Ref
- Hirschauer, S. (1991). The manufacture of bodies in surgery. Social Studies of Science, 21(2), 279--319.Google ScholarCross Ref
- Hoff, J.I., van den Plas, A.A., Wagemans, E.A., & van Hilten, J.J. (2001). Accelerometric assessment of levodopa-induced dyskinesias in Parkinson's disease. Move. Dis., 16, 58--61.Google Scholar
- Horak, F. B., & Mancini, M. (2013). Objective biomarkers of balance and gait for Parkinson's disease using body-worn sensors. Move. Dis., 28(11), 1544--51.Google Scholar
- Joyce, K. (2005). Appealing images: Magnetic resonance imaging and the production of authoritative knowledge. Social Studies of Science, 35(3), 437--462.Google ScholarCross Ref
- Kaplan, B. (1995). Objectification and negotiation in interpreting clinical images: Implications for computerbased patient records. Art. Intell. in Med., 7, 439--54.Google ScholarCross Ref
- Keijsers, N. L., Horstink, M.W. & Gielen, S. C. (2006). Ambulatory motor assessment in Parkinson's disease. Move. Dis., 21, 34--44.Google Scholar
- Keijsers, N.L., Horstink, M.W., van Hilten, J.J., Hoff, J.I. & Gielen, C.C. (2000). Detection and assessment of the severity of levodopa-induced dyskinesia in patients with Parkinson's disease by neural networks. Move. Dis., 15, 1104--11.Google Scholar
- Kim, J.W., Lee, J.H., Kwon, Y., Kim, C.S., Eom, G.M., Koh, S.B., & Park, K.W. (2010). Quantification of bradykinesia during clinical finger taps using a gyrosensor in patient's with Parkinson's disease. Med. & Bio. Engin. & Comp., 49, 365--71.Google ScholarCross Ref
- Liu, L. S., Hirano, S. H., Tentori, M., Cheng, K. G., George, S., Park, S. Y., & Hayes, G. R. (2011). Improving communication and social support for caregivers of high-risk infants through mobile technologies. In Proc CSCW, 475--84. Google ScholarDigital Library
- Mamykina, L., & Mynatt, E. (2009). Interpreting Health and Wellness Information. Symonds, J. et al. (eds.) Auto-identification and Ubiquitous Computing Applications, Idea Group Inc.Google ScholarCross Ref
- Mankoff, J., Hayes, G. R., & Kasnitz, D. (2010). Disability studies as a source of critical inquiry for the field of assistive technology. In Proc of ASSETS, 3--10. Google ScholarDigital Library
- Meekosha, H., & Shuttleworth, R. (2009). What's so'critical'about critical disability studies?. Australian Journal of Human Rights, 15(1), 47.Google ScholarCross Ref
- Mentis, H.M. & Taylor, A. (2013). Imaging the Body: Embodied Vision in Minimally Invasive Surgery. Proc. of CHI, 1479--88. Google ScholarDigital Library
- Mol, A. (2002). The body multiple: Ontology in medical practice. Duke University Press.Google ScholarCross Ref
- Morrow, C. D., Smentkowski, K., Schwartz, S., Armstrong, M. J., Gruber-Baldini, A. L., Anderson, K. E., ... & Shulman, L. M. (2014). Does spouse participation influence quality of life reporting in patients with Parkinson's disease? Quality of Life Research, 1--5.Google Scholar
- Pareés, I., Saifee, T.A., Kassavetis, P., Kojovic, M., Rubio-Agusti, I., Rothwell, J.C., & Edwards, M.J. (2012). Believing is perceiving: Mismatch between selfreport and actigraphy in psychogenic tremor. Brain, 135(1), 117--23.Google ScholarCross Ref
- Patel, S., Lorincz, K., Hughes, R., Huggins, N. (2009). Monitoring motor fluctuations in patients with Parkinson's disease using wearable sensors. IEEE Trans. on Information Technology in Biomedicine, 13(6), 864--73. Google ScholarDigital Library
- Patrick, S.K., Denington, A.A., Gauthier, M.J.A., Gillard, D.M., and Prochazka, A. (2001). Quantification of the UPDRS rigidity scale. IEEE Trans. on Neural Systems and Rehabilitation Engineering, 9(1), 31--41.Google ScholarCross Ref
- Prasad, A. (2005). Making images/making bodies: Visibilizing and disciplining through magnetic resonance imaging. Science, Technology & Human Values, 30(2), 291--316.Google ScholarCross Ref
- Pratt, W., Unruh, K., Civan, A., & Skeels, M. (2006). Personal Health Information Management. CACM, 49(1), p51--55. Google ScholarDigital Library
- Shulman, L. M., Gruber-Baldini, A. L., Anderson, K. E., Vaughan, C. G., Reich, S. G., Fishman, P. S., & Weiner, W. J. (2008). The evolution of disability in Parkinson disease. Movement Disorders, 23(6), 790--796.Google ScholarCross Ref
- Spieker, S., Jentgens, C., Boose, A. & Dichgans, J. (1995). Reliability, specificity and sensitivity of longterm tremor recordings. Electroencephalography & Clinical Neurophysiology, 97, 326--331.Google ScholarCross Ref
- Storni, C. (2009). The politics of design in Sociotechnical dispositif. Reconciling Healthcare toward a future patient-centric perspective. Proc. of Interact.Google Scholar
- Thielgen, T., Foerster, F., Fuchs, G., Hornig, A., & Fahrenberg, J. (2004). Tremor in Parkinson's disease: 24-hr monitoring with calibrated accelerometry. Electromyography and Clinical Neurophysiology, 44, 137--146.Google Scholar
- Weiss, A., Herman, T., Giladi, N., & Hausdorff, J. M. (2014). Objective Assessment of Fall Risk in Parkinson's Disease Using a Body-Fixed Sensor Worn for 3 Days. PloS one, 9(5), e96675.Google ScholarCross Ref
- Weiss, A., Herman, T., Plotnik, M., Brozgol, M., Maidan, I., Giladi, N., ... & Hausdorff, J. M. (2010). Can an accelerometer enhance the utility of the Timed Up & Go Test when evaluating patients with Parkinson's disease?. Medical engineering & physics, 32(2), pp. 119--125.Google Scholar
Index Terms
- Being Seen: Co-Interpreting Parkinson's Patient's Movement Ability in Deep Brain Stimulation Programming
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