About this trial
Facial recognition is a non-invasive method for analysing facial characteristics and changes in facial expressions. There is evidence to suggest there may be a link between physiological health and facial expression patterns. Many medical conditions are associated with specific facial characteristics, with some related to inherited genetic conditions and others that have been acquired as a result of medical conditions such as stroke, nerve injuries and dementia. If successful, this technology could prove useful for studies evaluating the monitoring of acute or chronic illness. The proposed study will ask participants to do a maximal exercise test that will challenge the body, as a proof-of-principle, to see how this correlates with facial expressions. Depending on the study outcomes and future work, it could prove to be a useful tool and clinical application in healthcare for evaluating and tracking patient health and well-being. The investigators want to conduct a proof-of-principle study where physically stressed young and healthy participants (in the form of a maximal exercise test), whilst recording facial expressions, will be used to determine the relationship between physiological stress and changes in facial parameters.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Aged 18 to 35
Male or female
Capable of completing a maximal exercise test
Answer "NO" to all variables in the Physical Activity Readiness questionnaire (PAR-Q)
Disqualifiers
Musculoskeletal injury
Cardiovascular disease
Neurological disease, stroke, or other disease that may affect facial expressions
Trial population
Healthy participants from the general public, inlcuding students and staff from the university.
Trial design
Cohort
Cross-sectional
Treatments tested in this trial
Maximal Exercise Test
Other interventionHealthy participants will be situated on a cycle ergometer fitted with a 12-lead ECG or chest-strap heart rate monitor. Data from the questionnaire will be stored in a study site file in a locked cabinet in an office. Baseline readings will be obtained whilst on the bike for 3 minutes before the subject embarks on a 3-minute warm-up at 50 Watts (W). The workload (watts) on the bike is then increased to a workload that corresponds to a heart rate of 120 bpm (gentle exercise). The workload will then be increased by 25-50W every three minutes until volitional exhaustion. Between each stage, there will be a 30s rest period where the participant will be cycling with minimal resistance ("freewheeling") but will be otherwise stationary on the cycle ergometer. Still images of the face and facial video recordings will be taken during a 30s rest period between increases in exercise intensity. A finger-prick blood sample (glucose \& lactate) will be taken at the beginning and every 3 minutes.
Treatment groups
Trial outcomes
Primary outcomes
Change in distance between facial features
Change in inter-feature distance (e.g., between eyes, mouth corners) during different phases of exercise, captured using video and still images to detect facial regions and landmarks. Unit: millimetres (mm).
Change in size and shape of facial features
Change in facial feature dimensions (e.g., width and height of eyes, mouth) and geometric shape indices during different phases of exercise. Additionally, captured using video and still images to detect facial regions and landmarks. Units: millimetres² or shape index (unitless).
Change in facial blood flow patterns
Regional blood flow variation across facial regions during exercise, captured through thermal imaging. Unit: perfusion units or arbitrary units (a.u.)
Change in facial temperature
Alterations in surface temperature across facial regions during exercise, measured with thermal imaging. Units: degrees Celsius (°C)
Secondary outcomes
Change in heart rate
Heart rate is recorded at rest, during exercise, and during recovery. Units: Beats per minute (bpm)
Change in heart rate variability (HRV)
Analysis of time and frequency domain HRV indices during different exercise stages. Units: Milliseconds (ms)
Change in blood glucose
Blood glucose levels are recorded at rest, during exercise, and recovery. Unit: millimoles per litre (mmol/L)
Change in Blood Lactate
Blood lactate recorded at rest, during exercise, and recovery. Units: millimoles per litre (mmol/L)
Sponsors and contacts
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Lancaster University
Lead sponsor
University of Central Lancashire
Collaborator
East Lancashire Hospitals NHS Trust
Collaborator
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