Abstract: Objective: To develop an auxiliary device to help low-risk full-term primiparas accurately identify the onset of labor and determine the optimal time for hospital admission, in order to prevent the adverse effects of early hospital admission. Methods: Using the Double Diamond design process model, interdisciplinary cooperation was employed to design and develop a wearable intelligent uterine contraction monitoring system. This included the selection and design of sensor devices, the construction of a uterine contraction model using artificial intelligence algorithms, and the deployment of algorithms and user interfaces displaying recommendations. Quantitative and qualitative methods were employed to evaluate the usability of the preliminary system after delivery. Results: The wearable intelligent uterine contraction monitoring system included hardware and mobile App components. A consistency test between the system recommendations and the gold standard showed that a Kappa value was 0.75, indicating a gap between the current accuracy and the clinical acceptability. Interviews with postpartum women who used the system indicated high perceived usefulness but suggested room for improvement in perceived ease of use. Conclusion: The preliminary wearable intelligent uterine contraction monitoring system is well-received by the target users and demonstrates a certain level of accuracy, requires further data collection to refine the algorithm model, as its accuracy not yet reached clinically acceptable levels. Additionally, technical optimizations are needed to enhance the product's ease of use.

Key words: labor; primipara; uterine contraction monitoring system; wearable terminal; artificial intelligence; Double Diamond design process model