The use of wearable technologies to examine the effect of training on bone health
Lead Research Organisation:
Loughborough University
Department Name: Sch of Sport Exercise & Health Sciences
Abstract
This project will examine the use of wearable technologies to determine the impact rating and metabolic cost of military / physical training activities. The systems will need to give live feedback to the training team to allow for bespoke alterations to the training regimes, reduction of musculoskeletal injury and to attract maximum interest. A range of technologies will be tested and/or potential new solutions developed. The relationship between impact ratings and injury risk will be determined using prospective studies over a 12 week military training programme. Research direction will be reviewed in the context of study results and findings in research literature, in frequent dialogue with military colleagues.
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| EP/N509516/1 | 01/10/2016 | 30/09/2021 | |||
| 1814563 | Studentship | EP/N509516/1 | 01/10/2016 | 30/09/2020 | Elliott Fullerton |
| Description | Through the research funded on this grant. I and the research team have identified appropriate technologies to accurately measure military recruits during initial training. Furthermore, we have developed a series of measures that we think will be predictive of injury in training. These measures have required the generation of novel models using machine learning to predict outcomes. |
| Exploitation Route | In the future. If successful, we will have built a self-adapting machine learning model that can predict the onset of injury in military recruits. If applied to future cohorts then this could not only reduce the number of injuries in training but also reduce the large financial burden that it currently has on the defence sector. It is likely these sort of findings can also be transferred to other areas in sport as well. |
| Sectors | Aerospace, Defence and Marine,Healthcare,Leisure Activities, including Sports, Recreation and Tourism |
| Title | A novel neural network that can predict Ground Reaction Force |
| Description | This neural network is now capable of taking accelerometer data taken from the shin to accurately predict the magnitude of ground reaction force created. This now allows for insight into GRF outside of a laboratory controlled environment. |
| Type Of Material | Physiological assessment or outcome measure |
| Year Produced | 2018 |
| Provided To Others? | Yes |
| Impact | This tool is now available to be used in prospective studies to measure loading impact which in turn could help towards the prevention of injuries. |
| Title | Machine Learning classifier that can determine activity |
| Description | This novel classifier makes use of Machine learning to classify what activity a participant is doing based on acceleration take from the shin. |
| Type Of Material | Model of mechanisms or symptoms - human |
| Year Produced | 2018 |
| Provided To Others? | No |
| Impact | This now allows for a further in-depth look into participants behaviour in free living. Rather than just moderate to vigorous activity. |
| Title | Systematic review assessment tool |
| Description | In our Systematic review we have developed a novel tool to assess the quality of papers. We tested the validity and reliability of this test with different raters. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2018 |
| Provided To Others? | No |
| Impact | This tool gives a fair assessment of paper quality in the research teams opinion. |
| Description | BASES Conference 2019 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Postgraduate students |
| Results and Impact | This Activity involved the presentation of findings at the BASES conference based in Harrogate in 2018. A wide range of researchers involved in Sports science across the world were involved in the conference. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://doi.org/10.1080/02640414.2018.1521633 |
| Description | Presentation at the Midlands Academy of Medical Sciences Research Festival 2018. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Postgraduate students |
| Results and Impact | This activity involved the presentation of findings at a research festival. Findings were displayed in a poster format which allowed the opportunity to talk informally to many researchers from various fields. |
| Year(s) Of Engagement Activity | 2018 |
| Description | University Visit |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Study participants or study members |
| Results and Impact | Over the course of the PhD there have been a number of visits from influential researchers, business people and practitioners from various fields such as military or universities. Over this time I have had the opportunity to present my work and findings to these individuals who have given good feedback but have also used my own ideas within their own work is well. |
| Year(s) Of Engagement Activity | 2017,2018,2019 |