Performance Results of the CoughCheck™ Algorithm
Explore the performance of automated cough detection in real-world respiratory recordings. CoughCheck™ is Strados Labs’ machine learning algorithm for automated cough detection and counting. Trained on more than 233,000 validated cough events, CoughCheck enables efficient, objective cough measurement across large datasets and extended monitoring periods. Download the whitepaper to explore the performance of the latest […]
Cough Intensity: A Novel Measure of Cough Burden
This whitepaper explores an important but historically under-measured dimension of cough burden: cough intensity. While cough frequency is the traditional metric used to objectively measure cough burden, it is limited in its ability to capture only how often a patient coughs and not the qualitative dimensions of those coughs such as how burdensome or forceful […]
Data Processing Architectures for Cough Monitoring: The Case for Cloud Processing
This whitepaper highlights an important yet often overlooked aspect of cough monitoring: the data processing architecture that supports how cough events are detected and reported in clinical trials. As pharmaceutical sponsors increasingly include cough as a digital endpoint in clinical trials, the choice between edge processing (analysis on-device in real-time, typically by machine learning) and […]