Multiple signals such as facial expressions, heart rate, brain activity, electrodermal activity, body movements, and experience sampling can be collected in real-time and integrated using machine learning to monitor the experience of an individual during a medical treatment. It is hypothesized that no single signal can provide a comprehensive understanding of the individual's state during treatment.