TY - JOUR
T1 - Listenmee® and Listenmee® smartphone application
T2 - Synchronizing walking to rhythmic auditory cues to improve gait in Parkinson's disease
AU - Lopez, William Omar Contreras
AU - Higuera, Carlos Andres Escalante
AU - Fonoff, Erich Talamoni
AU - de Oliveira Souza, Carolina
AU - Albicker, Ulrich
AU - Martinez, Jairo Alberto Espinoza
N1 - Publisher Copyright:
© 2014 Elsevier B.V.
PY - 2014/10/1
Y1 - 2014/10/1
N2 - Evidence supports the use of rhythmic external auditory signals to improve gait in PD patients (Arias & Cudeiro, 2008; Kenyon & Thaut, 2000; McIntosh, Rice & Thaut, 1994; McIntosh et al., 1997; Morris, Iansek, & Matyas, 1994; Thaut, McIntosh, & Rice, 1997; Suteerawattananon, Morris, Etnyre, Jankovic, & Protas, 2004; Willems, Nieuwboer, Chavert, & Desloovere, 2006). However, few prototypes are available for daily use, and to our knowledge, none utilize a smartphone application allowing individualized sounds and cadence. Therefore, we analyzed the effects on gait of Listenmee®, an intelligent glasses system with a portable auditory device, and present its smartphone application, the Listenmee app®, offering over 100 different sounds and an adjustable metronome to individualize the cueing rate as well as its smartwatch with accelerometer to detect magnitude and direction of the proper acceleration, track calorie count, sleep patterns, steps count and daily distances. The present study included patients with idiopathic PD presented gait disturbances including freezing. Auditory rhythmic cues were delivered through Listenmee®. Performance was analyzed in a motion and gait analysis laboratory. The results revealed significant improvements in gait performance over three major dependent variables: walking speed in 38.1%, cadence in 28.1% and stride length in 44.5%. Our findings suggest that auditory cueing through Listenmee® may significantly enhance gait performance. Further studies are needed to elucidate the potential role and maximize the benefits of these portable devices.
AB - Evidence supports the use of rhythmic external auditory signals to improve gait in PD patients (Arias & Cudeiro, 2008; Kenyon & Thaut, 2000; McIntosh, Rice & Thaut, 1994; McIntosh et al., 1997; Morris, Iansek, & Matyas, 1994; Thaut, McIntosh, & Rice, 1997; Suteerawattananon, Morris, Etnyre, Jankovic, & Protas, 2004; Willems, Nieuwboer, Chavert, & Desloovere, 2006). However, few prototypes are available for daily use, and to our knowledge, none utilize a smartphone application allowing individualized sounds and cadence. Therefore, we analyzed the effects on gait of Listenmee®, an intelligent glasses system with a portable auditory device, and present its smartphone application, the Listenmee app®, offering over 100 different sounds and an adjustable metronome to individualize the cueing rate as well as its smartwatch with accelerometer to detect magnitude and direction of the proper acceleration, track calorie count, sleep patterns, steps count and daily distances. The present study included patients with idiopathic PD presented gait disturbances including freezing. Auditory rhythmic cues were delivered through Listenmee®. Performance was analyzed in a motion and gait analysis laboratory. The results revealed significant improvements in gait performance over three major dependent variables: walking speed in 38.1%, cadence in 28.1% and stride length in 44.5%. Our findings suggest that auditory cueing through Listenmee® may significantly enhance gait performance. Further studies are needed to elucidate the potential role and maximize the benefits of these portable devices.
KW - Auditory cue
KW - Gait
KW - Idiopathic Parkinson's disease
KW - Intelligent glasses system
KW - Rhythmic auditory stimulation
KW - Smartphone app
KW - Smartwatch with accelerometer
UR - http://www.scopus.com/inward/record.url?scp=84907393789&partnerID=8YFLogxK
U2 - 10.1016/j.humov.2014.08.001
DO - 10.1016/j.humov.2014.08.001
M3 - Artículo Científico
C2 - 25215623
AN - SCOPUS:84907393789
SN - 0167-9457
VL - 37
SP - 147
EP - 156
JO - Human Movement Science
JF - Human Movement Science
ER -