Problem: Medical staff are in almost constant contact with the novel coronavirus disease and in some cases, with limited access to PPE. There are recommended procedures depending on the level of exposure to assist with risk management. However, these procedures rely primarily on self monitoring which is flawed when it comes to asymptomatic and pre-symptomatic cases.
Solution: A non-obtrusive, multisensory wearable mask, RespDetect, is pursued. RespDetect can comprehensively measure multiple bio signals to quantifiably indicate symptom onset. It can do this by recording coughing instances, respiration rate and humidity. It also includes a medical face mask.
RespDetect has two separate units, the head-worn unit, and the mask attachment. The head-worn unit resembles a bone conduction headset and houses a contact microphone pressed against the temple. The contact microphone is used to measure the coughing sounds and breathing-related sounds (including sneezing) through the principle of bone conduction. The central embedded computer Raspberry Pi Zero-W with I2C shim expander is also housed on the headband with the battery unit on the other side for weight balance. An optional face mask can be worn allowing direct measurement of humidity inside the mask.