L Test Subtask Segmentation for Lower-Limb Amputees Using a Random Forest Algorithm

Autor: Alexis L. McCreath Frangakis, Edward D. Lemaire, Helena Burger, Natalie Baddour

Publikováno v: Sensors, Vol 24, Iss 15, p 4953 (2024)

Functional mobility tests, such as the L test of functional mobility, are recommended to provide clinicians with information regarding the mobility progress of lower-limb amputees. Smartphone inertial sensors have been used to perform subtask segment

Externí odkaz: https://doaj.org/article/ed1f7e1146114ef7a15d2c0994b2bd94

Automated step detection with 6-minute walk test smartphone sensors signals for fall risk classification in lower limb amputees.

Autor: Pascale Juneau, Edward D Lemaire, Andrej Bavec, Helena Burger, Natalie Baddour

Publikováno v: PLOS Digital Health, Vol 1, Iss 8, p e0000088 (2022)

Predictive models for fall risk classification are valuable for early identification and intervention. However, lower limb amputees are often neglected in fall risk research despite having increased fall risk compared to age-matched able-bodied indiv

Externí odkaz: https://doaj.org/article/54965e55927f401ba0e46ed3b6539c13

Fall risk classification for people with lower extremity amputations using random forests and smartphone sensor features from a 6-minute walk test.

Autor: Kyle J F Daines, Natalie Baddour, Helena Burger, Andrej Bavec, Edward D Lemaire

Publikováno v: PLoS ONE, Vol 16, Iss 4, p e0247574 (2021)

Fall-risk classification is a challenging but necessary task to enable the recommendation of preventative programs for individuals identified at risk for falling. Existing research has primarily focused on older adults, with no predictive fall-risk m

Externí odkaz: https://doaj.org/article/0887f77a47bc49648864a5310fab6608

Comparison of Decision Tree and Long Short-Term Memory Approaches for Automated Foot Strike Detection in Lower Extremity Amputee Populations

Autor: Pascale Juneau, Natalie Baddour, Helena Burger, Andrej Bavec, Edward D. Lemaire

Publikováno v: Sensors, Vol 21, Iss 21, p 6974 (2021)

Foot strike detection is important when evaluating a person’s gait characteristics. Accelerometer and gyroscope signals from smartphones have been used to train artificial intelligence (AI) models for automated foot strike detection in able-bodied

Externí odkaz: https://doaj.org/article/8a5a901a3cba4a58b911f86b09e045ee

Information and communication technology used by people with lower limb loss in Slovenia

Autor: Mojca Debeljak, Gaj Vidmar, Zlatko Matjacic, Helena Burger

Publikováno v: International Journal of Rehabilitation Research. Internationale Zeitschrift Fur Rehabilitationsforschung. Revue Internationale De Recherches De Readaptation

World demography is changing as the population ages and there are more people with disabilities having problems to stay independently at home. Innovative technologies could help extend the independence of older people living at home. As part of a col

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::637c056d4d68d7cf108bf6a4ff9c4079
https://doi.org/10.1097/mrr.0000000000000405