Devices that monitor wheeze, snoring, coughing or crackles remotely can allow for faster treatment. For children, these devices have the potential to catch lung diseases/conditions early on in life.

Automated respiratory sound analysis using neural networks has emerged as a transformative approach in the non‐invasive diagnosis of pulmonary disorders. By integrating digital stethoscopes with ...

The predictive ability of cough sound algorithms shows promise in detecting acute respiratory diseases, study finds. A machine learning algorithm for detecting and classifying acute respiratory ...

Researchers developed a novel device that detects abnormal breathing sounds to predict whether an ICU patient is likely to suffer from respiratory complications after removal from a mechanical ...

Eating disorders in moms-to-be are linked to a heightened risk of asthma and wheezing in their children, irrespective of the type of disorder, presence of co-existing depression/anxiety, or the timing ...

Tyto Care has received a European approval for an artificial-intelligence-powered add-on to its digital stethoscope system, allowing the device to identify certain lung sounds such as wheezing and ...

Chicago-based Northwestern University and Shirley Ryan AbilityLab jointly developed a new wearable patch device that monitors COVID-19 patients’ coughing and respiratory activity. The wireless device ...

Researchers recently invented a smart mask, integrating an ultrathin nanocomposite sponge structure-based soundwave sensor, which is capable of detecting respiratory sounds of breathing, coughing and ...

Eating disorders in moms-to-be are linked to a heightened risk of asthma and wheezing in their children, irrespective of the type of disorder, presence of co-existing depression/anxiety, or the timing ...

A multi-channel recording device developed at TU Graz for pathological lung sounds and associated automatic lung sound analysis could support existing screening methods for early detection of, for ...