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When music, information technology, and medicine meet

Published:02 November 2012Publication History

ABSTRACT

From Napster to YouTube and iTunes, music has always been a major driving force of Internet technologies. A huge amount of music content is now accessible to the public. Organizing and categorizing this content to support an effective recommendation system has become a significant challenge. The primary goal of our lab is to develop new technologies to address this challenge in the field of healthcare. We seek to harness the synergy of sound and music computing (SMC), mobile computing, and cloud computing technologies to promote healthy lifestyles and to facilitate disease prevention, diagnosis, and treatment in both developed countries and resource-poor developing countries. In this talk, I present a collaborative research project between the SMC lab at National University of Singapore and the Music, Neuroimaging, and Stroke Recovery Lab at Beth Israel Deaconess Medical Center (BIDMC) / Harvard Medical School. We are developing a cloud-based therapy delivery system that uses music to enhance limb function and speech in patients with neurological impairments using smart devices such as iPhone. Our focus is to develop high-tech, low-cost solutions that aim to (1) facilitate recovery in patients with post-stroke speech and motor impairments, (2) improve gait and mobility and reduce fall risk in patients with Parkinson's disease (PD), and thereby, improve Quality of Life (QoL) for both patients and caregivers.

References

  1. Source: World Population Prospects: The 2010 Revision | United Nations Population Division.Google ScholarGoogle Scholar
  2. Di Carlo A, (2009). Human and Economic Burden of Stroke. Age and Ageing; 38: 4--5.Google ScholarGoogle Scholar
  3. International Data Corporation, (March 2012). Combined totals from IDC Worldwide Quarterly, PC Tracker, March 2012; IDC Worldwide Quarterly Mobile Phone Tracker, March 2012; IDC Worldwide Quarterly Media Tablet Tracker, March 2012.Google ScholarGoogle Scholar
  4. Albert, M.L., R.W. Sparks & N.A. Helm. (1973). Melodic intonation therapy for aphasia. Arch. Neurol. 29: 130--131.Google ScholarGoogle ScholarCross RefCross Ref
  5. Norton, A., Zipse, L., Marchina, S., & Schlaug,G.(2009). Melodic intonation therapy: How it is done and why it might work. Annals of New York Academy of Sciences, 1169, 431--436.Google ScholarGoogle ScholarCross RefCross Ref
  6. Schlaug, G., Marchina, S., & Norton, A. (2009). Evidence for plasticity in white-matter tracts of patients with chronic Broca's aphasia undergoing intense intonation-based speech therapy. Annals of New York Academy of Sciences, 1169, 385--394.Google ScholarGoogle ScholarCross RefCross Ref
  7. Schlaug, G., Norton, A., Marchina. S., Zipse, L., Wan, CY. (2010). From singing to speaking: facilitating recovery from nonfluent aphasia. Future Neurol. 5(5):657--665.Google ScholarGoogle ScholarCross RefCross Ref
  8. Wan, CY., Rüber, TR., Hohmann, A., Schlaug, G. (2010). The Therapeutic Effects of Singing in Neurological Disorders. Music Percept., 27(4):287--295.Google ScholarGoogle Scholar
  9. Sparks, R., Helm, N., & Albert, M., (1974). Aphasia rehabilitation resulting from melodic intonation therapy. Cortex 10: 303--316.Google ScholarGoogle ScholarCross RefCross Ref
  10. World Health Organization. Neurological Disorders: public health challenges - Parkinson's Disease, (2006). 3.8: 140--150Google ScholarGoogle Scholar
  11. Lim, I., van Wegen, E., de Goede C., et al. (2005). Effects of external rhythmical cueing on gait in patients with Parkinson's disease: a systematic review. Clin Rehabil., 19(7):695--713.Google ScholarGoogle ScholarCross RefCross Ref
  12. Rubinstein, TC., Giladi, N., Hausdorff, JM. (2002). The power of cueing to circumvent dopamine deficits: a review of physical therapy treatment of gait disturbances in Parkinson's disease. Mov Disord., 17(6):1148--1160.Google ScholarGoogle ScholarCross RefCross Ref
  13. Wang, X., Rosenblum, D.S., and Wang, Y., Context-Aware Mobile Music Recommendation for Daily Activities. ACM Multimedia 2012 (29 Oct - 2 Nov 2012, Nara, Japan) Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. When music, information technology, and medicine meet

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