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All Outputs (7)

Effectiveness of a six-week high-intensity interval training programme on cardiometabolic markers in sedentary males (2014)
Presentation / Conference Contribution
Gleadall-Siddall, D., Burke, R., Gritt, J., O'Carroll, G., Bray, J., Ingle, L., & Garrett, A. Effectiveness of a six-week high-intensity interval training programme on cardiometabolic markers in sedentary males. Presented at BASES Conference 2014

High-intensity interval training (HIT) has been proposed as an effective, time efficient strategy to elicit similar cardiometabolic health benefits as traditional moderate-intensity endurance training. This is an important consideration as "lack of t... Read More about Effectiveness of a six-week high-intensity interval training programme on cardiometabolic markers in sedentary males.

Clinical trials update from the European Society of Cardiology Heart Failure meeting and the American College of Cardiology: Darbepoetin alfa study, ECHOS, and ASCOT-BPLA
Presentation / Conference Contribution
Cleland, J. G., Coletta, A. P., Clark, A. L., Velavan, P., & Ingle, L. Clinical trials update from the European Society of Cardiology Heart Failure meeting and the American College of Cardiology: Darbepoetin alfa study, ECHOS, and ASCOT-BPLA

This article provides information and a commentary on landmark trials presented at the European Society of Cardiology Heart Failure meeting held in June 2005, relevant to the pathophysiology, prevention and treatment of heart failure. All reports sho... Read More about Clinical trials update from the European Society of Cardiology Heart Failure meeting and the American College of Cardiology: Darbepoetin alfa study, ECHOS, and ASCOT-BPLA.

Assessing machine learning algorithms for self-management of asthma
Presentation / Conference Contribution
Kocsis, O., Arvanitis, G., Lalos, A., Moustakas, K., Sont, J. K., Honkoop, P. J., Chung, K. F., Bonini, M., Usmani, O. S., Fowler, S., & Simpson, A. (2017, June). Assessing machine learning algorithms for self-management of asthma. Presented at The 6th IEEE International Conference on E-Health and Bioengineering - EHB 2017, Sinaia, Romania

© 2017 IEEE. Control and monitoring of asthma progress is highly important for patient's quality of life and healthcare management. Emerging tools for self-management of various chronic diseases have the potential to support personalized patient guid... Read More about Assessing machine learning algorithms for self-management of asthma.

High-intensity interval training in patients with intermittent claudication
Presentation / Conference Contribution
Pymer, S., Harwood, A. E., Prosser, J., Waddell, A., Rhavindhran, B., McGregor, G., Ibeggazene, S., Huang, C., Twiddy, M., Nicholls, A. R., Ingle, L., Carroll, S., He, H., Long, J., Rooms, M., & Chetter, I. C. High-intensity interval training in patients with intermittent claudication. Presented at 2022 Vascular Society of Great Britain and Ireland Annual Scientific Meeting, Brighton, UK

Objective: Provision, uptake, adherence, and completion rates for supervised exercise programs (SEP) for intermittent claudication (IC) are low. A shorter, more time-efficient, 6-week, high-intensity interval training (HIIT) program may be an effecti... Read More about High-intensity interval training in patients with intermittent claudication.