Apsega, A.; Petrauskas, L.; Alekna, V.; Daunoraviciene, K.; Sevcenko, V.; Mastaviciute, A.; Vitkus, D.; Tamulaitiene, M.; Griskevicius, J.
Wearable Sensors Technology as a Tool for Discriminating Frailty Levels During Instrumented Gait Analysis. Appl. Sci. 2020, 10, 8451.
https://doi.org/10.3390/app10238451
AMA Style
Apsega A, Petrauskas L, Alekna V, Daunoraviciene K, Sevcenko V, Mastaviciute A, Vitkus D, Tamulaitiene M, Griskevicius J.
Wearable Sensors Technology as a Tool for Discriminating Frailty Levels During Instrumented Gait Analysis. Applied Sciences. 2020; 10(23):8451.
https://doi.org/10.3390/app10238451
Chicago/Turabian Style
Apsega, Andrius, Liudvikas Petrauskas, Vidmantas Alekna, Kristina Daunoraviciene, Viktorija Sevcenko, Asta Mastaviciute, Dovydas Vitkus, Marija Tamulaitiene, and Julius Griskevicius.
2020. "Wearable Sensors Technology as a Tool for Discriminating Frailty Levels During Instrumented Gait Analysis" Applied Sciences 10, no. 23: 8451.
https://doi.org/10.3390/app10238451
APA Style
Apsega, A., Petrauskas, L., Alekna, V., Daunoraviciene, K., Sevcenko, V., Mastaviciute, A., Vitkus, D., Tamulaitiene, M., & Griskevicius, J.
(2020). Wearable Sensors Technology as a Tool for Discriminating Frailty Levels During Instrumented Gait Analysis. Applied Sciences, 10(23), 8451.
https://doi.org/10.3390/app10238451