The accuracy of a simple, low-cost GPS data logger/receiver to study outdoor human walking in view of health and clinical studies

Bénédicte Noury-Desvaux, Pierre Abraham, Guillaume Mahé, Thomas Sauvaget, Georges Leftheriotis, Alexis Le Faucheur, Bénédicte Noury-Desvaux, Pierre Abraham, Guillaume Mahé, Thomas Sauvaget, Georges Leftheriotis, Alexis Le Faucheur

Abstract

Introduction: Accurate and objective measurements of physical activity and lower-extremity function are important in health and disease monitoring, particularly given the current epidemic of chronic diseases and their related functional impairment.

Purpose: The aim of the present study was to determine the accuracy of a handy (lightweight, small, only one stop/start button) and low-cost (∼$75 with its external antenna) Global Positioning System (GPS) data logger/receiver (the DG100) as a tool to study outdoor human walking in perspective of health and clinical research studies. Methods. Healthy subjects performed two experiments that consisted of different prescribed outdoor walking protocols. Experiment 1. We studied the accuracy of the DG100 for detecting bouts of walking and resting. Experiment 2. We studied the accuracy of the DG100 for estimating distances and speeds of walking.

Results: Experiment 1. The performance in the detection of bouts, expressed as the percentage of walking and resting bouts that were correctly detected, was 92.4% [95% Confidence Interval: 90.6-94.3]. Experiment 2. The coefficients of variation [95% Confidence Interval] for the accuracy of estimating the distances and speeds of walking were low: 3.1% [2.9-3.3] and 2.8% [2.6-3.1], respectively.

Conclusion: The DG100 produces acceptable accuracy both in detecting bouts of walking and resting and in estimating distances and speeds of walking during the detected walking bouts. However, before we can confirm that the DG100 can be used to study walking with respect to health and clinical studies, the inter- and intra-DG100 variability should be studied.

Trial registration: ClinicalTrials.gov NCT00485147.

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1. A typical example of GPS…
Figure 1. A typical example of GPS processed speed data obtained from a prescribed outdoor walking protocol, both for the DG100 and the GPS60.
The entire PWP is not represented on the graph to simplify the figure. The period represented on the graph lasts ∼24 min (from minute 34.2 to minute 58.3).
Figure 2. Graphical representation for both the…
Figure 2. Graphical representation for both the DG100 and the GPS60, of the error percentage for time difference between actual and detected bouts according to actual bout time.
Note: concentrations of point near 0% for the DG100 give the impression that there were fewer points, particularly for bouts less than 0.5 min. This was not the case. For instance, there were 65 and 70 bouts of 0.17 min (10 s) for the GPS60 and the DG100, respectivel.

References

    1. Bouchard C, Blair SN, Haskell WL. Physical activity and health; In: Bouchard C, Blair SN, Haskell WL, editors. Champaign (Ill.): Human Kinetics; 2007. 409
    1. Hakim AA, Petrovitch H, Burchfiel CM, Ross GW, Rodriguez BL, et al. Effects of walking on mortality among nonsmoking retired men. N Engl J Med. 1998;338:94–99.
    1. Lee IM, Rexrode KM, Cook NR, Manson JE, Buring JE. Physical activity and coronary heart disease in women: is “no pain, no gain” passe? Jama. 2001;285:1447–1454.
    1. Manson JE, Greenland P, LaCroix AZ, Stefanick ML, Mouton CP, et al. Walking compared with vigorous exercise for the prevention of cardiovascular events in women. N Engl J Med. 2002;347:716–725.
    1. Manson JE, Hu FB, Rich-Edwards JW, Colditz GA, Stampfer MJ, et al. A prospective study of walking as compared with vigorous exercise in the prevention of coronary heart disease in women. N Engl J Med. 1999;341:650–658.
    1. Guralnik JM, Ferrucci L, Simonsick EM, Salive ME, Wallace RB. Lower-extremity function in persons over the age of 70 years as a predictor of subsequent disability. N Engl J Med. 1995;332:556–561.
    1. Dobkin BH. Clinical practice. Rehabilitation after stroke. N Engl J Med. 2005;352:1677–1684.
    1. McDermott MM, Greenland P, Liu K, Guralnik JM, Criqui MH, et al. Leg symptoms in peripheral arterial disease: associated clinical characteristics and functional impairment. Jama. 2001;286:1599–1606.
    1. Ringbaek T, Martinez G, Brondum E, Thogersen J, Morgan M, et al. Shuttle walking test as predictor of survival in chronic obstructive pulmonary disease patients enrolled in a rehabilitation program. J Cardiopulm Rehabil Prev. 30:409–414.
    1. Maddison R, Ni Mhurchu C. Global positioning system: a new opportunity in physical activity measurement. Int J Behav Nutr Phys Act. 2009;6:73.
    1. Le Faucheur A, Abraham P, Jaquinandi V, Bouye P, Saumet JL, et al. Measurement of walking distance and speed in patients with peripheral arterial disease: a novel method using a global positioning system. Circulation. 2008;117:897–904.
    1. Le Faucheur A, Noury-Desvaux B, Mahe G, Sauvaget T, Saumet JL, et al. Variability and short-term determinants of walking capacity in patients with intermittent claudication. J Vasc Surg. 2010;51:886–892.
    1. Creange A, Serre I, Levasseur M, Audry D, Nineb A, et al. Walking capacities in multiple sclerosis measured by global positioning system odometer. Mult Scler. 2007;13:220–223.
    1. Yair B, Noam S, Meir L, Gail A, Amit B, et al. Assessing the Outcomes of Spine Surgery Using Global Positioning Systems. 2010. Spine (Phila Pa 1976) Dec 11: [Epub ahead of print]
    1. Le Faucheur A, Abraham P, Jaquinandi V, Bouye P, Saumet JL, et al. Study of human outdoor walking with a low-cost GPS and simple spreadsheet analysis. Med Sci Sports Exerc. 2007;39:1570–1578.
    1. Townshend AD, Worringham CJ, Stewart IB. Assessment of speed and position during human locomotion using nondifferential GPS. Med Sci Sports Exerc. 2008;40:124–132.
    1. Terrier P, Schutz Y. How useful is satellite positioning system (GPS) to track gait parameters? A review. J Neuroengineering Rehabil. 2005;2:28.
    1. Terrier P, Ladetto Q, Merminod B, Schutz Y. High-precision satellite positioning system as a new tool to study the biomechanics of human locomotion. J Biomech. 2000;33:1717–1722.
    1. Hopkins WG. Measures of reliability in sports medicine and science. Sports Med. 2000;30:1–15.
    1. Hopkins WG. Reliability from consecutive pairs of trials (Excel spreadsheet). 2000. A new view of statistics. : Internet Society for Sport Science.
    1. Hopkins WG. Analysis of validity by linear regression (Excel spreadsheet). 2000. A new view of statistics. : Internet Society for Sport Science.
    1. Bland M. Oxford: Oxford University Press; 2000. An introduction to medical statistics; publications Om, editor.405
    1. Troped PJ, Oliveira MS, Matthews CE, Cromley EK, Melly SJ, et al. Prediction of activity mode with global positioning system and accelerometer data. Med Sci Sports Exerc. 2008;40:972–978.
    1. Schutz Y, Chambaz A. Could a satellite-based navigation system (GPS) be used to assess the physical activity of individuals on earth? Eur J Clin Nutr. 1997;51:338–339.
    1. Schutz Y, Herren R. Assessment of speed of human locomotion using a differential satellite global positioning system. Med Sci Sports Exerc. 2000;32:642–646.
    1. Duncan MJ, Mummery WK, Dascombe BJ. Utility of global positioning system to measure active transport in urban areas. Med Sci Sports Exerc. 2007;39:1851–1857.
    1. Petersen C, Pyne D, Portus M, Dawson B. Validity and reliability of GPS units to monitor cricket-specific movement patterns. Int J Sports Physiol Perform. 2009;4:381–393.
    1. Jennings D, Cormack S, Coutts AJ, Boyd L, Aughey RJ. The Validity and Reliability of GPS Units for Measuring Distance in Team Sport Specific Running Patterns. Int J Sports Physiol Perform. 2010;5:328–341.
    1. Gray AJ, Jenkins D, Andrews MH, Taaffe DR, Glover ML. Validity and reliability of GPS for measuring distance travelled in field-based team sports. J Sports Sci. 2010:1–7.
    1. Dobkin BH, Xu X, Batalin M, Thomas S, Kaiser W. Reliability and Validity of Bilateral Ankle Accelerometer Algorithms for Activity Recognition and Walking Speed After Stroke. Stroke 2011
    1. European GNSS Agency. Application developpers. European GNSS Agency; 2009. User guide for EGNOS.
    1. Witte TH, Wilson AM. Accuracy of WAAS-enabled GPS for the determination of position and speed over ground. J Biomech. 2005;38:1717–1722.
    1. Witte TH, Wilson AM. Accuracy of non-differential GPS for the determination of speed over ground. J Biomech. 2004;37:1891–1898.

Source: PubMed

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