Through-dressing Wound Monitoring Based on The mmWave Sensor

Wound assessment is crucial for monitoring healing, but traditional methods require removing gauze, which can disrupt healing and increase infection risk. We introduce WavelyVision, an over-gauze wound assessment system based on the mmWave sensor. It detects skin moisture---a key wound condition indicator---by analyzing how mmWave signals change with moisture levels. To improve accuracy, WavelyVision uses a denoised imaging algorithm to reduce motion noise and separate skin signals from environmental interference. A physical model further enhances moisture estimation. Experiments show WavelyVision achieves high accuracy, with a moisture error of about 0.5% and an SSIM of about 0.9. These results demonstrate its potential for non-invasive wound monitoring.