Chronic obstructive pulmonary disease (COPD) is a long-term medical condition. Its clinical course may be interspersed by periods where there is a sharp increase in the severity of the disease (exacerbations). If exacerbations can be identified earlier through self-monitoring and timely treatment administered, then deterioration from COPD can be slowed and
hospital admissions reduced.


The RESpeck is a small wireless device worn as part of an adhesive patch on the chest that allows nurses to monitor breathing patterns and physical activity levels remotely. It provides a significant advance in the ability to assess and monitor changes in respiratory patterns and physical activity levels, both of which can mark the onset of exacerbation.

In collaboration with Moray Community Health and Social Care Partnership (CHSCP) and Maryhill Medical Practice in Elgin, the RESpeck device has been trialled in the community to continuously monitor COPD patients at home. This trial has demonstrated that RESpeck data from the patient’s home can be transmitted online to a secure server. The data is then analysed and reports of hourly trends are posted on a password-protected website for inspection by the patient’s primary care professionals.


An important goal of RESpeck is to develop clinical algorithms to combine symptom and physiological data in a predictive model for exacerbations and to gather prospective breathing pattern and activity data to inform these algorithms. This body of knowledge will be used to devise prediction models that can recognise trends in the RESpeck data to flag exacerbation with a high degree of probability.

An important consideration is to ensure the data is meaningful and
accessible to both patients and clinical users and both patient feedback and back-end interfaces will be developed in collaboration with NHS24 and Homepod developers Medvivo, as well as through detailed consultation with users.

In future, RESpeck could be used to develop a system to support homebased pulmonary rehabilitation.

This project is within the factory stage of our innovation model and is currently in the initial stages of a DHI funded project with NHS Ayrshire & Arran and NHS24.