Hypertension is a major risk factor for cardiovascular disease, but over half of affected adults are unaware of their condition. Wearable technology has the potential to detect signals of hypertension, although the sensors are typically not good enough for the direct measurement of blood pressure and readings need to be calibrated against traditional cuff blood pressure measurements.
Recent research has suggested that deep learning could help, but previous assessments have not used gold-standard blood pressure monitoring methods as reference points and have not compared measurements with established hypertension screening methods.