About Child Seizure DetectionEpilepsy is a disorder where the electrical signals in the brain go wrong. This can affect the way you think, behave and feel and lead to other health problems in your life.Detecting seizures is crucial for managing this condition. Various methods have been developed and used over time, including EEG recordings and automatic seizure detection.We evaluated the feasibility of detecting nine clinical seizure types using machine learning (ML) and wearable data. This article presents our findings and outlines key challenges to overcome before implementing this technology in clinical practice.Achieving better than chance seizure detection is feasible, with ML and wearable data yielding an AUC-ROC of.648 to.995, comparable to a random guess for each type of seizure. However, future improvements may be required in terms of ML learning, clinical chronoepileptological variables, data balancing, pre- and postprocessing, fusion, and ensemble learning techniques.Parent experiences and perspectives on the value of seizure detectionTo understand parents' perspective on the experienced value of NightWatch, we conducted semi-structured in-depth interviews with parents of children who participated in the PROMISE trial and used the device for two months at home. These interviews were analyzed using inductive thematic analysis. Among the most important themes were parental protective behavior, fears and caregiver burden of care. Emfit NZ