Abstract
Functional status is a major determinant of clinical outcomes. The Barthel Scale or Barthel Index (BI) is an ordinal scale used to measure performance in activities of daily living. A higher BI is associated with reduced length of stay in hospital and a greater likelihood of being able to live at home with a degree of independence following discharge from hospital. Currently on admission to hospital the BI is assessed subjectively by nursing staff. This work explores the possibility of using wearable wireless inertial measurement as a means of automating and detecting changes in BI. Preliminary findings for a study comprising of 16 patients suggest a correlation (0.7613) between average cumulative movement over 24 hours and variance in BI over the same period.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Mundy, L.M., Leet, T.L., Darst, K., Schnitzler, M.A., Dunagan, W.C.: Early mobilization of patients hospitalized with community-acquired pneumonia. Chest 124(3), 883–889 (2003)
Harpur, J.E., Conner, W.T., Hamilton, M., et al.: Controlled trial of early mobilisation and discharge from hospital in uncomplicated myocardial infarction. Lancet 2(7738), 1331–1334 (1971)
Kamel, H.K., Iqbal, M.A., Mogallapu, R., Maas, D., Hoffmann, R.G.: Time to ambulation after hip fracture surgery: relation to hospitalization outcomes. J. Gerontol. A Biol. Sci. Med. Sci. 58(11), 1042–1045 (2003)
Fisher, S.R., Kuo, Y., Graham, J.E., Ottenbacher, K., Ostir, G.V.: Early ambulation and length of stay in older adults hospitalized for acute illness. Arch. Intern. Med. 170(21), 1942–1943 (2010)
Brown, C.J., Friedkin, R.J., Inouye, S.K.: Prevalence and outcomes of low mobility in hospitalized older patients. J. Am. Geriatr. Soc. 52(8), 1263–1270 (2004)
Fisher, S.R., Graham, J.E., Brown, C.J., Galloway, C.V., Ottenbacher, K.J., Allman, R.M., Ostir, G.V.: Factors that differentiate level of ambulation in hospitalised older adults. Age Ageing 41(1), 107–111 (2012)
Mahoney, F., Barthel, D.: Functional evaluation: the Barthel Index. Maryland State Med. Journal 14, 56–61 (1965)
Choi, J.H., Lee, J., Hwang, H.T., Kim, J.P., Park, J.C., Shin, K.: Estimation of activity energy expenditure: Accelerometer approach. In: 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005, pp. 3830–3833 (2005)
Swartz, A., Strath, S., Bassett, D., O’Brien, W., King, G., Ainsworth, B.: Estimation of energy expenditure using CSA accelerometersat hip and wrist sites. Med. Sci. Sports Exer. 32, S450–S456 (2000)
Crouter, S., Clowers, K., Bassett, D.: A novel method for using accelerometer data to predict energy expenditure. J. Appl. Physiol. 100, 1324–1331 (2006)
Ramachandran, R., Ramanna, L., Ghasemzadeh, H., Pradhan, G., Jafari, R., Prabhakaran, B.: Body sensor networks to evaluate standing balance: interpreting muscular activities based on inertial sensors. In: HealthNet 2008: Proceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments, pp. 1–6. ACM, New York (2008)
Mayagoitia, R., Lotters, J., Veltink, P.H., Hermens, H.: Standing balance evaluation using a triaxial accelerometer. Gait and Posture 16(1), 55–59 (2002)
Bourke, A., O’Brien, J., Lyons, G.: Evaluation of a thresholdbased tri-axial accelerometer fall detection algorithm. Gait and Posture 26(2), 194–199 (2007)
Wade, E., Parnandi, A.R., Mataric, M.J.: Automated administration of the wolf motor function test for post-stroke assessment. In: 2010 4th International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth, pp. 1–7. IEEE (2010)
Atallah, L., Yang, G.: The use of pervasive sensing for behaviour profiling – a survey. Pervasive and Mobile Computing 5(5), 447–464 (2009)
Yang, J.Y., Wang, J.S., Chen, Y.P.: Using acceleration measurements for activity recognition: An effective learning algorithm for constructing neural classifiers. Pattern Recognition Letters 29(16), 2213–2220 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing
About this paper
Cite this paper
Walsh, M., O’Flynn, B., O’Mathuna, C., Hickey, A., Kellett, J. (2013). Correlating Average Cumulative Movement and Barthel Index in Acute Elderly Care. In: O’Grady, M.J., et al. Evolving Ambient Intelligence. AmI 2013. Communications in Computer and Information Science, vol 413. Springer, Cham. https://doi.org/10.1007/978-3-319-04406-4_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-04406-4_7
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04405-7
Online ISBN: 978-3-319-04406-4
eBook Packages: Computer ScienceComputer Science (R0)
