Finding studies
Finding studies
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Lead
Senti Tech Ltd
This clinical investigation seeks to establish whether or not the Senti-Wear device system with the Senti-AI subsystem is effective for autonomously monitoring people with long-term respiratory illness with COPD. The aim of this autonomous monitoring is to generate flags for review (FLARES) if the system detects a worsening (deterioration) in lung sounds which might indicate a worsening respiratory illness. If effective, this device system will enable people with long-term respiratory illnesses to receive earlier intervention in disease flare-ups, ensuring these patients are on the right medication at the right time, avoiding hospital admissions, and staying well at home. 200 patients with COPD will be recruited. The design of this study is comparative. All 200 participants will undertake patient-sought care as usual, where patients seek medical aid once starting to feel more unwell. Over a six-month period, we will collect data on what care is sought and when this changes treatment. Participants will also use the Senti-Wear device to capture their breath and heart sounds twice a day over this six-month period. Participants, clinicians, and the research team will be blinded to the device output FLARES until the end of the data collection period. At the end of the data collection period, we will compare this with Senti-AI FLARES, to determine whether acting on FLARES would have led to early intervention in disease flareups. The study activities will take place in the participants' own homes. The study will recruit around Manchester and Liverpool, UK. The study is being funded by Senti-Tech limited, the manufacturer of the Senti-Wear with Senti-AI device system.
Age
18–any
Sex
ALL
Healthy volunteers
Not accepted
