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SHAPE Research Seminar Series

Machine Learning in Human Locomotion & Student well-being: Cardiovascular, metabolic and mental health

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Seminars

As part of the School of Science and Technology SHAPE Research Centre Seminar Series, Maria Bisele & Philip Hennis, Nottingham Trent University presents: Machine Learning in Human Locomotion & Student well-being: Cardiovascular, metabolic and mental health.

  • From: Wednesday 19 February 2020, 1 pm
  • To: Wednesday 19 February 2020, 2 pm
  • Location: ERD 171, Erasmus Darwin, Nottingham Trent University, Clifton Campus, Clifton Lane, Nottingham, NG11 8NS
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Event details

As part of the School of Science and Technology SHAPE Research Centre Seminar Series, Maria Bisele & Philip Hennis, Nottingham Trent University presents: Machine Learning in Human Locomotion & Student well-being: Cardiovascular, metabolic and mental health.

Abstract for Maria
Human locomotion, or gait, is often quantified and described using the somewhat subjective analysis of normalised graphical profiles and/or extraction of discrete parameters (Chau 2001). However, multivariate statistical methods such as principle component analysis (PCA) and machine learning algorithms such as discriminant function analysis (DFA) have the potential to overcome these issues. Together, PCA and DFA provide a simple and robust method which provides objectivity and consistency during gait assessments in both research and clinical settings. Furthermore, patient-specific gait characteristics can be identified which could be used to develop tailored treatment and thus increase quality of life. The talk will demonstrate how these methods could be implemented with a specific focus on lower-limb amputee gait.

Abstract for Philip
University Students represent a substantial proportion of the population with over 2.3 million students registered at Higher Education institutes in the UK in 2016-2017. The majority of these students are in early adulthood, which is a critical time for establishing self-care habits which will ultimately influence health outcomes later in adulthood. Studies suggest that at this important stage of life the health-related behaviours of many students are poor, with studies reporting high numbers eating a problematic diet, having sub-optimal physical activity (Aceijas et al, 2017) and partaking in binge drinking (Dodd et al. 2010). Perhaps unsurprisingly, given the sub-optimal health behaviours described above, many students also report suffering from a number of mental and physical illnesses. This talk will present preliminary data from the Student health Survey, a study that seeks to establish the prevalence and incidence of mental and physical ill health in NTU students.

This seminar is hosted by Dr Cleveland Barnett

All welcome

For any enquiries please contact Craig Sale

Location details

Room/Building:

ERD 171, Erasmus Darwin

Address:

Nottingham Trent University
Clifton Campus
Clifton Lane
Nottingham
NG11 8NS

Past event

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