Portable, non-invasive fall risk assessment in end stage renal disease patients on hemodialysis

Thurmon Lockhart, Adam T. Barth, Xiaoyue Zhang, Rahul Songra, Emaad Abdel-Rahman, John Lach

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Scopus citations

Abstract

Patients with end stage renal diseases (ESRD) on hemodialysis (HD) have high morbidity and mortality due to multiple causes, one of which is dramatically higher fall rates than the general population. The mobility mechanisms that contribute to falls in this population must be understood if adequate interventions for fall prevention are to be achieved. This study utilizes emerging non-invasive, portable gait, posture, strength, and stability assessment technologies to extract various mobility parameters that research has shown to be predictive of fall risk in the general population. As part of an ongoing human subjects study, mobility measures such as postural and locomotion profiles were obtained from five (5) ESRD patients undergoing HD treatments. To assess the effects of post-HD-fatigue on fall risk, both the pre- and post-HD measurements were obtained. Additionally, the effects of inter-HD periods (two days vs. three days) were investigated using the non-invasive, wireless, body-worn motion capture technology and novel signal processing algorithms. The results indicated that HD treatment influenced strength and mobility (i.e., weaker and slower after the dialysis, increasing the susceptibility to falls while returning home) and inter-dialysis period influenced pre-HD profiles (increasing the susceptibility to falls before they come in for a HD treatment). Methodology for early detection of increased fall risk - before a fall event occurs - using the portable mobility assessment technology for out-patient monitoring is further explored, including targeting interventions to identified individuals for fall prevention.

Original languageEnglish (US)
Title of host publicationProceedings - Wireless Health 2010, WH'10
Pages84-93
Number of pages10
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event1st Wireless Health Conference, WH'10 - San Diego, CA, United States
Duration: Oct 5 2010Oct 7 2010

Other

Other1st Wireless Health Conference, WH'10
CountryUnited States
CitySan Diego, CA
Period10/5/1010/7/10

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Keywords

  • Algorithms
  • Experimentation
  • Human Factors
  • J.3 [Life and Medical Sciences]: Health
  • Measurement

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Lockhart, T., Barth, A. T., Zhang, X., Songra, R., Abdel-Rahman, E., & Lach, J. (2010). Portable, non-invasive fall risk assessment in end stage renal disease patients on hemodialysis. In Proceedings - Wireless Health 2010, WH'10 (pp. 84-93) https://doi.org/10.1145/1921081.1921092