This invention discloses a control method and
control system for non-invasive incontinence
risk assessment based on multi-dimensional
sensor fusion, relating to the fields of medical and
nursing intelligent monitoring technology. The method uses the user's deep stillness state as the activation
signal for acquiring biochemical parameter electrical signals for incontinence
risk assessment. Specifically, when the user is determined to be in a deep stillness state, the third sensor unit is activated by combining the temperature and
humidity parameters detected by the second sensor unit, and the biochemical parameter electrical signals are acquired. Compensation
processing is performed based on the temperature parameters detected by the second sensor unit. The implementation of the third sensor unit activation mechanism can significantly reduce
system energy consumption and effectively ensure contact between the detection electrodes and the liquid and
body surface, thereby reducing
signal noise. Combined with the temperature compensation mechanism, accurate detection of
urine biochemical indicators is achieved. Furthermore, when used for incontinence
risk assessment in sick infants, disabled individuals, and those experiencing
dehydration or infection, the method can effectively improve the reliability of risk assessment.