A System for Real-Time Feedback to Improve Gait and Posture in Parkinson's Disease

被引:17
|
作者
Jellish, Jeremy [1 ,2 ]
Abbas, James J. [1 ,3 ]
Ingalls, Todd M. [4 ]
Mahant, Padma [5 ]
Samanta, Johan [5 ]
Ospina, Maria Cristina [5 ]
Krishnamurthi, Narayanan [6 ]
机构
[1] Arizona State Univ, Ctr Adapt Neural Syst, Tempe, AZ 85287 USA
[2] Arizona State Univ, Coll Nursing & Hlth Innovat, Tempe, AZ 85287 USA
[3] Arizona State Univ, Sch Biol & Hlth Syst Engn, Tempe, AZ 85287 USA
[4] Arizona State Univ, Sch Arts Media & Engn, Tempe, AZ 85287 USA
[5] Banner Good Samaritan Reg Med Ctr, Movement Disorders Clin, Phoenix, AZ 85004 USA
[6] Arizona State Univ, Coll Nursing & Hlth Innovat, Phoenix, AZ 85004 USA
关键词
Cues; gait; Parkinson's disease (PD); posture; real-time feedback (RTFB); STRIDE LENGTH REGULATION; TREADMILL WALKING; PHYSICAL-THERAPY; AUDITORY CUES; BILATERAL COORDINATION; FALLS; VARIABILITY; PEOPLE; PARAMETERS; TASK;
D O I
10.1109/JBHI.2015.2472560
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For people with Parkinson's disease (PD), gait and postural impairments can significantly affect their ability to perform activities of daily living. Presentation of appropriate cues has been shown to improve gait in PD. Based on this, a treadmill-based system and experimental paradigm were developed to determine if people with PD can utilize real-time feedback (RTFB) of step length or back angle (uprightness) to improve gait and posture. Eleven subjects (mean age 67 +/- 8 years) with mild-to-moderate PD (Hoehn and Yahr stage I-III) were evaluated regarding their ability to successfully utilize RTFB of back angle or step length during quiet standing and treadmill walking tasks during a single session in their medication-on state. Changes in back angle and step length due to feedback were compared using Friedman nonparametric tests with Wilcoxon Signed-Rank tests for post-hoc comparisons. Improvements in uprightness were observed as an increase in back angle during quiet standing (p = 0.005) and during treadmill walking (p = 0.005) with back angle feedback when compared to corresponding tasks without feedback. Improvements in gait were also observed as an increase in step length (p = 0.005) during step length feedback compared to tasks without feedback. These results indicate that people with mild-to-moderate PD can utilize RTFB to improve upright posture and gait. Future work will investigate the long-term effects of this RTFB paradigm and the development of systems for clinical or home-based use.
引用
收藏
页码:1809 / 1819
页数:11
相关论文
共 50 条
  • [1] REAL-TIME FEEDBACK DERIVED FROM WEARABLE SENSORS TO IMPROVE GAIT IN PARKINSON'S DISEASE
    Bartels, Brandon M.
    Moreno, Arianna
    Quezada, Maria Jose
    Sivertson, Haley
    Abbas, James
    Krishnamurthi, Narayanan
    TECHNOLOGY AND INNOVATION, 2018, 20 (1-2) : 37 - 46
  • [2] Real-time Streaming of Gait Assessment for Parkinson's Disease
    Flagg, Cristopher
    Frieder, Ophir
    MacAvaney, Sean
    Motamedi, Gholam
    WSDM '21: PROCEEDINGS OF THE 14TH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING, 2021, : 1081 - 1084
  • [3] Real-time Gait Monitoring for Parkinson Disease
    Tay, A.
    Yen, S. C.
    Li, J. Z.
    Lee, W. W.
    Yogaprakash, K.
    Chung, C.
    Liew, S.
    David, B.
    Au, W. L.
    2013 10TH IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA), 2013, : 1796 - 1801
  • [4] A Real-Time Detection Algorithm for Freezing of Gait in Parkinson's Disease
    Chang, Yi-Fan
    Ding, Jian-Jiun
    Hu, Hao
    Yang, Wen-Chieh
    Lin, Kwan-Hwa
    Wu, Po-Hung
    2014 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2014, : 1312 - 1315
  • [5] Real-time feedback to improve gait in children with cerebral palsy
    van Gelder, Linda
    Booth, Adam T. C.
    van de Port, Ingrid
    Buizer, Annemieke I.
    Harlaar, Jaap
    van der Krogt, Marjolein M.
    GAIT & POSTURE, 2017, 52 : 76 - 82
  • [6] Real-time auditory feedback for improving gait and walking in people with Parkinson's disease: a pilot and feasibility trial
    Mayo, Nancy E.
    Mate, Kedar K. V.
    Fellows, Lesley K.
    Morais, Jose A.
    Sharp, Madeleine
    Lafontaine, Anne-Louise
    Hill, Edward Ted
    Dawes, Helen
    Sharkh, Ahmed-Abou
    PILOT AND FEASIBILITY STUDIES, 2024, 10 (01)
  • [7] Using real-time visual feedback to improve posture at computer workstations
    Sigurdsson, Sigurdur O.
    Austin, John
    JOURNAL OF APPLIED BEHAVIOR ANALYSIS, 2008, 41 (03) : 365 - 375
  • [8] Measuring Gait Quality in Parkinson's Disease through Real-Time Gait Phase Recognition
    Mileti, Ilaria
    Germanotta, Marco
    Di Sipio, Enrica
    Imbimbo, Isabella
    Pacilli, Alessandra
    Erra, Carmen
    Petracca, Martina
    Rossi, Stefano
    Del Prete, Zaccaria
    Bentivoglio, Anna Rita
    Padua, Luca
    Palermo, Eduardo
    SENSORS, 2018, 18 (03):
  • [9] A Real-Time Auditory Feedback System for Retraining Gait
    Maulucci, Ruth A.
    Eckhouse, Richard H.
    2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2011, : 5199 - 5202
  • [10] Cueing Paradigms to Improve Gait and Posture in Parkinson's Disease: A Narrative Review
    Muthukrishnan, Niveditha
    Abbas, James J.
    Shill, Holly A.
    Krishnamurthi, Narayanan
    SENSORS, 2019, 19 (24)