Imperial College London

Dr Cybele Wong

Faculty of MedicineSchool of Public Health

Honorary Research Associate



+44 (0)20 7594 7456c-peng.wong




322Reynolds BuildingCharing Cross Campus





Publication Type

7 results found

Radha M, Groot KD, Rajani N, Wong CCP, Kobold N, Vos V, Fonseca P, Mastellos N, Wark PA, Velthoven N, Haakma R, Aarts RMet al., 2019, Estimating blood pressure trends and the nocturnal dip from photoplethysmography, Physiological Measurement, Vol: 40, ISSN: 0967-3334

Objective: Evaluate a method for the estimation of the nocturnal systolic blood pressure dip from 24-hour blood pressure trends using a wrist-worn Photoplethysmography (PPG) sensor and a deep neural network in free-living individuals, comparing the deep neural network to traditional machine learning and non-machine learning baselines.Approach: A wrist-worn PPG sensor was worn by 106 healthy individuals for 226 days during which 5111 reference values for blood pressure were obtained with a 24-hour ambulatory blood pressure monitor as ground truth and matched with the PPG sensor data. Features based on heart rate variability and pulse morphology were extracted from the PPG waveforms. Machine learning models (linear regression, random forests, dense neural networks and long- and short-term memory neural networks) were then trained and evaluated in their capability of tracking trends in systolic and diastolic blood pressure, as well as the estimation of the nocturnal systolic blood pressure dip.Main results Best performance was obtained with a deep long- and shortterm memory neural network with a Root Mean Squared Error (RMSE) of 3.12±2.20 ∆mmHg and a correlation of 0.69 (p = 3 ∗ 10−5) with the ground truth Systolic Blood Pressure (SBP) dip. This dip was derived from trend estimates of blood pressure which had an RMSE of 8.22±1.49 mmHg for systolic and 6.55±1.39 mmHg for diastolic blood pressure. The random forest model showed slightly lower average error magnitude for SBP trends (7.86±1.57 mmHg), however Bland-Altmann analysis revealed systematic problems in its predictions that were less present in the long- and short-term memory model.Significance The work provides first evidence for the unobtrusive estimation of the nocturnal blood pressure dip, a highly prognostic clinical parameter. It is also the first to evaluate unobtrusive blood pressure measurement in a large data set of unconstrained 24-hour measurements in free-living i

Journal article

Mastellos N, Tran T, Dharmayat K, Cecil E, Hsin-yi L, Wong C, Mkandawire W, Ngalande E, Wu JT-S, Hardy V, Chirambo BG, O'Donoghue JMet al., 2018, Training community healthcare workers on the use of information and communication technologies: a randomised controlled trial of traditional versus blended learning in Malawi, Africa, BMC Medical Education, Vol: 18, ISSN: 1472-6920

Background: Despite the increasing uptake of information and communication technologies (ICT) within healthcare services across developing countries, community healthcare workers (CHWs) have limited knowledge to fully utilise computerised clinical systems and mobile apps. The ‘Introduction to Information and Communication Technology and eHealth’ course was developed with the aim to provide CHWs in Malawi, Africa, with basic knowledge and computer skills to use digital solutions in healthcare delivery. The course was delivered using a traditional and a blended learning approach. Methods: Two questionnaires were developed and tested for face validity and reliability in a pilot course with 20 CHWs. Those were designed to measure CHWs’ knowledge of and attitudes towards the use of ICT, before and after each course, as well as their satisfaction with each learning approach. Following validation, a randomised controlled trial was conducted to assess the effectiveness of the two learning approaches. A total of 40 CHWs were recruited, stratified by position, gender and computer experience, and allocated to the traditional or blended learning group using block randomisation. Participants completed the baseline and follow-up questionnaires before and after each course to assess the impact of each learning approach on their knowledge, attitudes, and satisfaction. Per-item, pre-post and between-group, mean differences for each approach were calculated using paired and unpaired t-tests, respectively. Per-item, between-group, satisfaction scores were compared using unpaired t-tests.Results: Scores across all scales improved after attending the traditional and blended learning courses. Self-rated ICT knowledge was significantly improved in both groups with significant differences between groups in seven domains. However, actual ICT knowledge scores were similar across groups. There were no significant differences between groups in attitudinal gains. Satisfaction

Journal article

Greenfield R, Busink E, Wong CP, Riboli-Sasco E, Greenfield G, Majeed A, Car J, Wark PAet al., 2016, Truck drivers' perceptions on wearable devices and health promotion: a qualitative study., BMC Public Health, Vol: 16, ISSN: 1471-2458

BACKGROUND: Professional truck drivers, as other shift workers, have been identified as a high-risk group for various health conditions including cardiovascular disease, obesity, diabetes, sleep apnoea and stress. Mobile health technologies can potentially improve the health and wellbeing of people with a sedentary lifestyle such as truck drivers. Yet, only a few studies on health promotion interventions related to mobile health technologies for truck drivers have been conducted. We aimed to explore professional truck drivers' views on health promotion delivered via mobile health technologies such as wearable devices. METHODS: We conducted a phenomenological qualitative study, consisting of four semi-structured focus groups with 34 full-time professional truck drivers in the UK. The focus groups were audio-taped, transcribed verbatim and analysed using thematic content analysis. We discussed drivers' perceptions of their health, lifestyle and work environment, and their past experience and expectations from mobile health technologies. RESULTS: The participants viewed their lifestyle as unhealthy and were aware of possible consequences. They expressed the need and wish to change their lifestyle, yet perceived it as an inherent, unavoidable outcome of their occupation. Current health improvement initiatives were not always aligned with their working conditions. The participants were generally willing to use mobile health technologies such as wearable devices, as a preventive measure to avoid prospect morbidity, particularly cardiovascular diseases. They were ambivalent about privacy and the risk of their employer's monitoring their clinical data. CONCLUSIONS: Wearable devices may offer new possibilities for improving the health and wellbeing of truck drivers. Drivers were aware of their unhealthy lifestyle. They were interested in changing their lifestyle and health. Drivers raised concerns regarding being continuously monitored by their employer. Health improvement i

Journal article

Ruggeri B, Nymberg C, Vuoksimaa E, Lourdusamy A, Wong CP, Carvalho FM, Jia T, Cattrell A, Macare C, Banaschewski T, Barker GJ, Bokde ALW, Bromberg U, Büchel C, Conrod PJ, Fauth-Bühler M, Flor H, Frouin V, Gallinat J, Garavan H, Gowland P, Heinz A, Ittermann B, Martinot J-L, Nees F, Pausova Z, Paus T, Rietschel M, Robbins T, Smolka MN, Spanagel R, Bakalkin G, Mill J, Sommer WH, Rose RJ, Yan J, Aliev F, Dick D, Kaprio J, Desrivières S, Schumann Get al., 2015, Association of Protein PhosphatasePPM1GWith Alcohol Use Disorder and Brain Activity During Behavioral Control in a Genome-Wide Methylation Analysis, American Journal of Psychiatry, Vol: 172, Pages: 543-552, ISSN: 0002-953X

Journal article

Anderson-Schmidt H, Beltcheva O, Brandon MD, Byrne EM, Diehl EJ, Duncan L, Gonzalez SD, Hannon E, Kantojärvi K, Karagiannidis I, Kos MZ, Kotyuk E, Laufer BI, Mantha K, McGregor NW, Meier S, Nieratschker V, Spiers H, Squassina A, Thakur GA, Tiwari Y, Viswanath B, Way MJ, Wong CCP, O'Shea A, DeLisi LEet al., 2013, Selected rapporteur summaries from the XX world congress of psychiatric genetics, Hamburg, Germany, october 14-18, 2012, American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, Vol: 162, Pages: 96-121, ISSN: 1552-4841

Journal article

Wong CCP, Schumann G, 2012, Integration of the circadian and stress systems: influence of neuropeptides and implications for alcohol consumption, Journal of Neural Transmission, Vol: 119, Pages: 1111-1120, ISSN: 0300-9564

Journal article

Desrivieres S, Lourdusamy A, Mueller C, Ducci F, Wong CP, Kaakinen M, Pouta A, Hartikainen A-L, Isohanni M, Charoen P, Peltonen L, Freimer N, Elliott P, Jarvelin M-R, Schumann Get al., 2011, Glucocorticoid receptor (NR3C1) gene polymorphisms and onset of alcohol abuse in adolescents, ADDICTION BIOLOGY, Vol: 16, Pages: 510-513, ISSN: 1355-6215

Journal article

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