Overview for discussion on Computing at Canterbury Christ Church University with Healthcare

1. OVERVIEW
COMPUTING
AND
HEALTHCARE
ACTIVITY AT
CANTERBURY
CHRIST
CHURCH
UNIVERSITY

2. EXAMPLE AREAS
RELATED TO
HEALTHCARE
ALREADY
RESEARCHED
WITH THE TEAM
• Emotion detection from facial
images including Adults on the
Austic Spectrum
• Robotics and Rehabilitation
(session today)
• Wearable Technologies to
measure emotional response.
• Modelling Acute Pain
• Artificial Intelligence Applied
to Somatosensory Evoked
Potentials
• Internet of Things in hospitals

3. EXAMPLE
AREAS FOR
FURTHER
DIRECTIONS
• Work done of pattern matching could be
applied medical data.
• Image classification via Machine Learning/AI
approach.
• Lameness in Sheep via Sensor Data Analysis (as
seen on the BBC One Show in 2017) – non-
invasive technology apply it to humans?
• Cybersecurity in Healthcare Systems
• AR/VR
• Team has experience in applying Databases, IoT,
Data Analysis, Artificial Intelligence, Signal
Processing working as part of inter-disciplinarily
teams

4. Dawood A, Turner S and Perepa P, "Natural-Spontaneous Affective-Cognitive Dataset for Adult Students With and Without Asperger
Syndrome," in IEEE Access, vol. 7, pp. 77990-77999, 2019, doi: 10.1109/ACCESS.2019.2921914.
Dawood A, Turner S and Perepa P, (2018) "Affective Computational Model to Extract Natural Affective States of Students With
Asperger Syndrome (AS) in Computer-Based Learning Environment," in IEEE Access, vol. 6, pp. 67026-67034, 2018, doi:
10.1109/ACCESS.2018.2879619
Anthony Casey, Hannan Azhar, Marek Grzes & Mohamed Sakel (2019) BCI controlled robotic arm as assistance to the rehabilitation
of neurologically disabled patients, Journal of Disability and Rehabilitation: Assistive Technology, Taylor and Francis, DOI:
10.1080/17483107.2019.1683239
Azhar, M. H. B., Casey, A. and Sakel, M. (2018) A Cost-effective BCI Assisted Technology Framework for Neurorehabilitation. In: The
The Seventh International Conference on Global Health Challenges, November 18-22 , 2018, Athens, Greece.
Azhar, M,A.H.B; Nelson, T.; Casey, A. (2018) Use of wearable technology to measure emotional responses amongst tennis players,
in book: Springer Innovations in Communications and Computing, Publisher: Springer, USA.
Sidoumou M. Turner S, P. Picton, P Bechkoum K and Benatchba K (2015), "Multitasking in emotion modelling: Attention
Control," 2015 International Conference on Affective Computing and Intelligent Interaction (ACII), Xi'an, China, 2015, pp. 308-314,
doi: 10.1109/ACII.2015.7344588
Guo, W., Khalid, N., Liu, Y., Li, M., Qi, M., Guo, W., Khalid, N., Liu, Y., Li, M. and Qi, M. 2015. A resource aware MapReduce based parallel
SVM for large scale image classification. Neural Processing Letters. 44 (1), pp. 161-184
Sahota, V., Maozhen, L. and Bayford, R. 2013. MPS: improving exact string matching through pattern character frequency. Journal of
of Data Processing. 3 (3), pp. 127-137
Hashemzadeh, P., Sahota, V., Callaghan, M., Dib, H., Tizzard, A., Svensson, L. and Bayford, R. 2010. Tracking conductivity variations in
the absence of accurate stat evolution models in electrical impedance tomography. in: 2010 4th International Conference on
Bioinformatics and Biomedical Engineering (iCBBE) : June 18-20, 2010 Chengdu, China IEEE. pp. 1-6
Li, M., Yu, B., Sahota, V. and Qi, M. 2009. Web services discovery with rough sets. International Journal of Web Services Research. 6
(1), pp. 69-86.
Prince K, Campbell, J,, Picton P, Turner S (2005). “A Computational Model of Acute Pain.” IJ of Simulation 6(9)
Turner, SJ, Picton, P & Campbell, JA 2003, 'Extraction of short-latency evoked potentials using a combination of wavelets and
evolutionary algorithms', Medical Engineering & Physics, vol. 25, no. 5, pp. 407-412. https://doi.org/10.1016/S1350-4533(03)00021-3

5. WHERE
NEXT?
• Contact: scott.turner@canterbury.ac.uk
•How can we
help you?