TY - JOUR
T1 - Combining Accelerometer and GPS Features to Evaluate Community Mobility in Knee Ankle Foot Orthoses (KAFO) Users
AU - Lonini, Luca
AU - Shawen, Nicholas
AU - Hoppe-Ludwig, Shenan
AU - Deems-Dluhy, Susan
AU - Mummidisetty, Chaithanya K.
AU - Eisenberg, Yochai
AU - Jayaraman, Arun
N1 - Funding Information:
Manuscript received August 5, 2020; revised December 28, 2020, March 18, 2021, and June 9, 2021; accepted June 12, 2021. Date of publication July 12, 2021; date of current version July 26, 2021. This work was supported by Ottobock. The work of Nicholas Shawen was supported by the NIH Training Grant through the Medical Scientist Training Program at Northwestern University under Grant T32GM008152. (Luca Lonini and Nicholas Shawen contributed equally to this work.) (Corresponding author: Arun Jayaraman.) This work involved human subjects in its research. Approval of all ethical and experimental procedures and protocols was granted by the Institutional Review Board of Northwestern University.
Publisher Copyright:
© 2001-2011 IEEE.
PY - 2021
Y1 - 2021
N2 - Orthotic and assistive devices such as knee ankle foot orthoses (KAFO), come in a variety of forms and fits, with several levels of available features that could help users perform daily activities more naturally. However, objective data on the actual use of these devices outside of the research lab is usually not obtained. Such data could enhance traditional lab-based outcome measures and inform clinical decision-making when prescribing new orthotic and assistive technology. Here, we link data from a GPS unit and an accelerometer mounted on the orthotic device to quantify its usage in the community and examine the correlations with clinical metrics. We collected data from 14 individuals over a period of 2 months as they used their personal KAFO first, and then a novel research KAFO; for each device we quantified number of steps, cadence, time spent at community locations and time wearing the KAFO at those locations. Sensor-derived metrics showed that mobility patterns differed widely between participants (mean steps: 591.3, SD =704.2). The novel KAFO generally enabled participants to walk faster during clinical tests ( Δ 6 Minute-Walk-Test=71.5m, p=0.006). However, some participants wore the novel device less often despite improved performance on these clinical measures, leading to poor correlation between changes in clinical outcome measures and changes in community mobility ( Δ 6 Minute-Walk-Test - Δ Community Steps: r=0.09, p=0.76). Our results suggest that some traditional clinical outcome measures may not be associated with the actual wear time of an assistive device in the community, and obtaining personalized data from real-world use through wearable technology is valuable.
AB - Orthotic and assistive devices such as knee ankle foot orthoses (KAFO), come in a variety of forms and fits, with several levels of available features that could help users perform daily activities more naturally. However, objective data on the actual use of these devices outside of the research lab is usually not obtained. Such data could enhance traditional lab-based outcome measures and inform clinical decision-making when prescribing new orthotic and assistive technology. Here, we link data from a GPS unit and an accelerometer mounted on the orthotic device to quantify its usage in the community and examine the correlations with clinical metrics. We collected data from 14 individuals over a period of 2 months as they used their personal KAFO first, and then a novel research KAFO; for each device we quantified number of steps, cadence, time spent at community locations and time wearing the KAFO at those locations. Sensor-derived metrics showed that mobility patterns differed widely between participants (mean steps: 591.3, SD =704.2). The novel KAFO generally enabled participants to walk faster during clinical tests ( Δ 6 Minute-Walk-Test=71.5m, p=0.006). However, some participants wore the novel device less often despite improved performance on these clinical measures, leading to poor correlation between changes in clinical outcome measures and changes in community mobility ( Δ 6 Minute-Walk-Test - Δ Community Steps: r=0.09, p=0.76). Our results suggest that some traditional clinical outcome measures may not be associated with the actual wear time of an assistive device in the community, and obtaining personalized data from real-world use through wearable technology is valuable.
KW - GPS
KW - Wearable sensor
KW - accelerometer
KW - assistive device
KW - orthosis
KW - rehabilitation
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U2 - 10.1109/TNSRE.2021.3096434
DO - 10.1109/TNSRE.2021.3096434
M3 - Article
C2 - 34252030
AN - SCOPUS:85110826838
SN - 1534-4320
VL - 29
SP - 1386
EP - 1393
JO - IEEE Transactions on Neural Systems and Rehabilitation Engineering
JF - IEEE Transactions on Neural Systems and Rehabilitation Engineering
M1 - 9481137
ER -