• Amor, James, D., James, Christopher, J., 2018. Unobtrusive Wearable Technology for Health Monitoring. In Khosrow-Pour, Mehdi (ed.), Wearable Technologies: Concepts, Methodologies, Tools, and Applications, IGI Global, pp. 562-577
• James, Christopher, 2015. Unobtrusive smart environments for independent living and the role of mixed methods in elderly healthcare delivery : the USEFIL approach. In Handbook of Research on Innovations in the Diagnosis and Treatment of Dementia, IGI Global, pp. 290-305
• Ahanathapillai, Vijayalakshmi, Amor, J. D., Tadeusiak, M., James, Christopher J., 2014. Wrist-worn accelerometer to detect postural transitions and walking patterns. In Roa Romero, Laura M. (ed.), XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013 : MEDICON 2013, 25-28 September 2013, Seville, Spain, Springer International Publishing, pp. 1515-1518
• Milanesi, M., James, C. J., 2009. Exploratory Data Analysis Methods for Electromagnetic Brain Signals. Multimodal Approach to Brain Function Assessment. Landini, Luigi (ed.), Multimodal Approach to Human Brain Function Assessment, Pisa, Italy, University Of Pisa
• James, C. J., 2009. Proceedings of the 5th UK & Republic of Ireland postgraduate conference in biomedical engineering and medical physics, PGBIOMED09. Oxford, U.K, IEEE UKRI EMB Student Club
• James, C. J., 2002. Extracting information from multichannel versus single channel EEG data in epilepsy analysis. Hyder, A. K.; Shahbazian, E.; Waltz, E. (eds.), Multisensor fusion, Dordrecht, Kluwer Academic