Monitoring vital parameters such as blood oxygen saturation, pulse and temperature is crucial for assessing patients' health. This enables the early detection of potential diseases and helps to prevent serious health issues. Modern medical wearables are complex multi-sensor systems that are worn on the body. They must operate reliably and deliver accurate data. This multimodal sensor data can be analysed using machine learning algorithms to identify patterns that indicate specific diseases.