Victor Utti

Senior Lecturer
Faculty:
Faculty of Health, Medicine and Social Care
School:
School of Allied Health and Social Care
Location:
Chelmsford
Areas of Expertise:
Physiotherapy , Neurorehabilitation
Research Supervision:
Yes

Victor is a Senior Lecturer in Physiotherapy at ARU.

[email protected]

Linkedin

Background

Victor is a specialist neuro-rehab Physiotherapist. He has worked clinically and academically in the United Kingdom and Abroad. In the UK Victor started his academic teaching career as a Lecturer at the Colchester Institute where he taught neuro-physiotherapy and evidence-based research.

He later moved to the University of Essex and worked for many years as a lecturer. 

Currently, Victor’s research focuses on modern trends in rehabilitation, using evidence synthesis, service evaluation, and virtual rehabilitation. Improving disability, participation, and knowledge translation are central to his research interest.


Research interests
  • Systematic reviews with meta-analysis
  • Modern Trends in Rehabilitation
  • Clinical Neurorehabilitation
  • Virtual reality in Balance dysfunction
  • Use of wearable sensors in neurological rehabilitation
  • Upper limb rehabilitation using virtual reality

Victor is open to supervise PhD/Prof Doc/MD/students from a variety of backgrounds due to his interest in different research designs and methods. Victor’s primary research focus is modern trends in rehabilitation.

Areas of research supervision

Wearable sensors in the assessment and management of neurological patients

Teaching
  • Neurological Physiotherapy
  • Evidence based management
Qualifications
  • Doctorate (University of Essex)
  • Post-graduate Diploma Health and Care - Learning & Teaching (Anglia Ruskin University)
  • M.Sc. Health Planning & Management (UNIMAID)
  • M.Sc. Clinical Medical Rehabilitation (UNEC)
  • Bachelors of Physiotherapy (University of Ibadan)
Memberships, editorial boards
  • Health and Care Professions Council (United Kingdom)
  • Chartered Society of Physiotherapy (United Kingdom)
  • Fellow Higher Education Academy United Kingdom (FHEA)
  • Registered member Allied Health Professional Supplementary to Medicine (Bermuda)
  • Member Association of Chartered Physiotherapists in Neurology United Kingdom (ACPIN)
  • Member Acupuncture Association of Chartered Physiotherapist United Kingdom (AACP)
Selected recent publications

Boukhennoufa I, Z Altai, X Zhai, V Utti, KD McDonald-Maier, BXW Liew (2022) Predicting the Internal Knee Abduction Impulse During Walking Using Deep Learning. Frontiers in Bioengineering and Biotechnology 10

Boukhennoufa I, X Zhai, V Utti, J Jackson, KD McDonald-Maier (2022) Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review. Biomedical Signal Processing and Control 71, 103197

Boukhennoufa I, X Zhai, V Utti, J Jackson, KD McDonald-Maier (2022) Encoding Sensors’ Data into Images to Improve the Activity Recognition in Post Stroke Rehabilitation Assessment Pattern Recognition and Artificial Intelligence: Third International

END Ekechukwu, IC Nzeakuba, OO Dada, KO Nwankwo, P Olowoyo, Utti V (2022)Virtual reality, a neuroergonomic and neurorehabilitation tool for promoting neuroplasticity in stroke survivors: a systematic review with meta-analysis. Proceedings of the 21st Congress of the International Ergonomics Association

END Ekechukwu, N Okogba, KO Nwankwo, NI Ekechukwu, Utti V (2022) Are the Psychosocial and Physical Disabilities of Stroke Survivors Ageing Related? Proceedings of the 21st Congress of the International Ergonomics Association

Boukhennoufa I, X Zhai, KD McDonald-Maier, V Utti, J Jackson (2021) Improving the activity recognition using GMAF and transfer learning in post-stroke rehabilitation assessment. IEEE 19th World Symposium on Applied Machine Intelligence

Boukhennoufa I, X Zhai, V Utti, J Jackson, KD McDonald-Maier (2021) A comprehensive evaluation of state-of-the-art time-series deep learning models for activity-recognition in post-stroke rehabilitation assessment. 43rd Annual International Conference of the IEEE Engineering

END Ekechukwu, E Useh, OL Nna, NI Ekechukwu, ON Obi, EN Aguwa, Utti V (2021) Ergonomic assessment of work-related musculoskeletal disorder and its determinants among commercial minibus drivers and driver assistants (mini bus conductors) in Nigeria. PLOS One 16 (12), e0260211

END Ekechukwu, EN Aguwa, TA Okeke, IC Iroezindu, SU Onyia, Utti V (2020) Prevalence, correlates, and risk factors of musculoskeletal disorders among Nigerian physiotherapy and architecture undergraduates. Journal of the Nigeria Society of Physiotherapy 19 (1), 8-18

Jajere A and Utti V, Saidu I, Bassi P, Jaiyesimi A, Onuwe H, Rufa’I A, Maduagwu S (2012) Prevalence and Clinical Characteristics of Acute Flaccid Paralysis Associated with HIV Related Patients: The Experience in North-eastern Nigeria. Open Access Scientific Reports

I Adamu Saidu, V Adimabua Utti, A Olugbenga Jaiyesimi, A Ahmad Rufa’i, (2011) Prevalence of musculoskeletal injuries among factory workers in Kano Metropolis, Nigeria. International journal of occupational safety and ergonomics 17 (1), 99-102

Oyeyemi A, Utti V, Oyeyemi L, Onigbinde T (2007) Knowledge, attitude, and willingness of Nigerian physiotherapy students to provide care for patients living with acquired immunodeficiency syndrome. Physiotherapy Theory and Practice 23 (5), 281-290