Steps towards a miniaturized, robust and autonomous measurement device for the long-term monitoring of patient activity: ActiBelt
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Martin Daumer
Abstract
We describe the first steps in the development of a wearable measurement device for measuring a subject's three-dimensional acceleration. The ultimate aim is a standard measurement instrument integrated in a belt buckle that allows objective evaluation of treatment and rehabilitation measures in patients, in particular for disabling chronic diseases such as multiple sclerosis. In a first step we combined standard hardware elements to record test data from healthy volunteers. We then developed algorithms to automatically distinguish between different stages of activity, such as jogging, walking, lying, standing and sitting, and to detect and count steps. Distinction between standing and sitting is the most difficult to accomplish. As a first validation, we calculated the distance traveled from data of 17 experiments and a total of 4.5 h, for which one proband was walking and running for a known distance, and compared the results with two commercially available pedometers. We could show that the relative error for the ActiBelt is only half of that for the two pedometers. Apart from developing much smaller, robust and integrated hardware, we describe ideas on how to develop algorithms that allow extraction of a “baseline step pattern” in analogy to baseline ECG to define and detect clinically relevant deviations.
References
[1] Albrecht H, Wötzel C, Erasmus LP, Kleinpeter M, König N, Pöllmann W. Day-to-day variability of maximum walking distance in MS patients can mislead to relevant changes in the expanded disability status scale (EDSS): average walking speed is a more constant parameter. Mult Scler2001; 7: 105–109.10.1177/135245850100700206Search in Google Scholar
[2] Böckenhoff A, Knapp G, Löllgen H. Meta-Analyse von Studien zur Primärprävention der Gesamtmortalität durch Physische Aktivität: Ergebnisse. In: Abstracts Evaluation, Bochum 2006: Abstract 93.Search in Google Scholar
[3] Buss ME, Pearson OR, Van Deursen R, Wiles CM. Quantified measurement of activity provides insight into motor function and recovery in neurological disease. J Neurol Neurosurg Psychiatry2004; 75: 884–888.10.1136/jnnp.2003.020180Search in Google Scholar
[4] Bussmann JBJ, Veltink PH, Koelma F, Van Lummel RC, Stam HJ. Ambulatory monitoring of mobility-related activities: the initial phase of the development of an activity monitor. Eur J Phys Med Rehabil1995; 5: 2–7.Search in Google Scholar
[5] Daumer M, Neiß A. A new adaptive algorithm to detect shifts, drifts and outliers in biomedical time series. In: Kunert J, Trenkler G, editors. Mathematical statistics with applications in biometry. Köln: Josef Eul Verlag 2001: 265–275.Search in Google Scholar
[6] Goodkin DE. EDSS reliability. Neurology1991; 41: 332.10.1212/WNL.41.2_Part_1.332Search in Google Scholar
[7] Grillner S. Neural networks for vertebrate locomotion. Sci Am1996; 274: 64–69.10.1038/scientificamerican0196-64Search in Google Scholar
[8] Hegewald G. Ganganalytische Bestimmung und Bewertung der Druckverteilung unterm Fuß und von Gelenkwinkelverläufen – eine Methode für Diagnose und Therapie im medizinischen Alltag und für die Qualitätssicherung in der rehabilitationstechnischen Versorgung. Dissertation. Humboldt University Berlin 2000.Search in Google Scholar
[9] Ioannidis JPA. Why most published research findings are false. PLoS Med2005; 2: e124.10.1371/journal.pmed.0020124Search in Google Scholar
[10] Jovanov E, Milenkovic A, Otto C, de Groen P. A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation. J NeuroEng Rehab2005; 2: 6.10.1186/1743-0003-2-6Search in Google Scholar
[11] Kesselring J, Beer S. Symptomatic therapy and neurorehabilitation in multiple sclerosis. Lancet Neurol2005; 4: 643–652.10.1016/S1474-4422(05)70193-9Search in Google Scholar
[12] Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology1983; 33: 1444–1452.10.1212/WNL.33.11.1444Search in Google Scholar PubMed
[13] Mayagoitia RE, Lötters JC, Veltink PH. Standing stability evaluation using a triaxial accelerometer. In: Proceedings of the 18th IEEE Conference of the Engineering in Medicine and Biology Society, Vol. 2. Piscataway, NJ: IEEE Press 1996: 573–574.Search in Google Scholar
[14] Motl RW, McAuley E, Snook EM, Scott JA. Accuracy of two electronic pedometers for measuring steps taken under controlled conditions among ambulatory individuals with multiple sclerosis. Mult Scler2005; 11: 343–345.10.1191/1352458505ms1161oaSearch in Google Scholar PubMed
[15] Perry J. Gait analysis – normal and pathological function. Thorofare, NJ: Slack Inc. 1992: Ch. 1 and 2.Search in Google Scholar
[16] Randell C, Muller H. The well mannered wearable computer. Pers Ubiq Comput2002; 6: 31–36.10.1007/s007790200003Search in Google Scholar
[17] Slycke PJ. Applications of inertial sensors in sports: the Runners Watch. In: PATO Course on Biomedical Measurement and Control Techniques. Utrecht: 2000.Search in Google Scholar
[18] Srinivasan M, Ruina A. Computer optimization of a minimal biped model discovers walking and running. Nature2006; 439: 72–75.10.1038/nature04113Search in Google Scholar PubMed
©2007 by Walter de Gruyter Berlin New York
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