Balance confidence classification in people with a lower limb amputation using six minute walk test smartphone sensor signals

被引:0
作者
Juneau, Pascale [1 ,2 ]
Baddour, Natalie [2 ]
Burger, Helena [3 ,4 ]
Lemaire, Edward D. [1 ,5 ]
机构
[1] Ottawa Hosp Res Inst, Ottawa, ON, Canada
[2] Univ Ottawa, Dept Mech Engn, Ottawa, ON, Canada
[3] Univ Ljubljana, Univ Rehabil Inst, Ljubljana, Slovenia
[4] Univ Ljubljana, Fac Med, Ljubljana, Slovenia
[5] Univ Ottawa, Fac Med, Ottawa, ON, Canada
来源
PLOS DIGITAL HEALTH | 2024年 / 3卷 / 08期
基金
加拿大自然科学与工程研究理事会;
关键词
QUALITY-OF-LIFE; INDIVIDUALS; FEAR; RELIABILITY; SCALE;
D O I
10.1371/journal.pdig.0000570
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
The activities-specific balance confidence scale (ABC) assesses balance confidence during common activities. While low balance confidence can result in activity avoidance, excess confidence can increase fall risk. People with lower limb amputations can present with inconsistent gait, adversely affecting their balance confidence. Previous research demonstrated that clinical outcomes in this population (e.g., stride parameters, fall risk) can be determined from smartphone signals collected during walk tests, but this has not been evaluated for balance confidence. Fifty-eight (58) individuals with lower limb amputation completed a six-minute walk test (6MWT) while a smartphone at the posterior pelvis was used for signal collection. Participant ABC scores were categorized as low confidence or high confidence. A random forest classified ABC groups using features from each step, calculated from smartphone signals. The random forest correctly classified the confidence level of 47 of 58 participants (accuracy 81.0%, sensitivity 63.2%, specificity 89.7%). This research demonstrated that smartphone signal data can classify people with lower limb amputations into balance confidence groups after completing a 6MWT. Integration of this model into the TOHRC Walk Test app would provide balance confidence classification, in addition to previously demonstrated clinical outcomes, after completing a single assessment and could inform individualized rehabilitation programs to improve confidence and prevent activity avoidance.
引用
收藏
页数:11
相关论文
共 26 条
  • [1] Predictors of quality of life among individuals who have a lower limb amputation
    Asano, Miho
    Rushton, Paula
    Miller, William C.
    Deathe, Barry A.
    [J]. PROSTHETICS AND ORTHOTICS INTERNATIONAL, 2008, 32 (02) : 231 - 243
  • [2] Measurement properties of the Activities-specific Balance Confidence Scale among individuals with stroke
    Botner, EM
    Miller, WC
    Eng, JJ
    [J]. DISABILITY AND REHABILITATION, 2005, 27 (04) : 156 - 163
  • [3] Novel algorithm for a smartphone-based 6-minute walk test application: algorithm, application development, and evaluation
    Capela, Nicole A.
    Lemaire, Edward D.
    Baddour, Natalie
    [J]. JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2015, 12
  • [4] Choi C., 2016, Strategic Directions for the Almaty-Bishkek Corridor Initiative
  • [5] Reliability and Internal Consistency of the Activities-Specific Balance Confidence Scale
    Cleary, Kimberly
    Skornyakov, Elena
    [J]. PHYSICAL & OCCUPATIONAL THERAPY IN GERIATRICS, 2014, 32 (01) : 58 - 67
  • [6] Filtering Biomechanical Signals in Movement Analysis
    Crenna, Francesco
    Rossi, Giovanni Battista
    Berardengo, Marta
    [J]. SENSORS, 2021, 21 (13)
  • [7] Musculoskeletal and Biomechanical Adaptations Post-Amputation
    Finco, M. G.
    [J]. FASEB JOURNAL, 2022, 36
  • [8] Covariates of fear of falling and associated activity curtailment
    Howland, J
    Lachman, ME
    Peterson, EW
    Cote, J
    Kasten, L
    Jette, A
    [J]. GERONTOLOGIST, 1998, 38 (05) : 549 - 555
  • [9] Juneau P, 2022, PLOS DIGIT HEALTH, V1, DOI 10.1371/journal.pdig.0000088
  • [10] Comparison of Decision Tree and Long Short-Term Memory Approaches for Automated Foot Strike Detection in Lower Extremity Amputee Populations
    Juneau, Pascale
    Baddour, Natalie
    Burger, Helena
    Bavec, Andrej
    Lemaire, Edward D.
    [J]. SENSORS, 2021, 21 (21)