Based on the heart rate measurement method using time-lapse image of human cheek, this paper proposes a novel measurement algorithm based on Artificial Intelligence. The algorithm combining with fuzzy logic theory acquires the heart beat point by using the defined fuzzy membership function of each sampled point. As a result, it calculates the heart rate by counting the heart beat points in a certain time period. Experiment shows said algorithm satisfies in operability, accuracy and robustness, which leads to constant practical value.
Algorithms ; Artificial Intelligence ; Heart Rate ; physiology ; Humans

Objective:To establish rules for medical order review in parenteral nutrition, assist pharmacists in the efficient real-time pre-review of parenteral nutrition medical orders, and promote the standardized use of parenteral nutrition.Methods:Professional clinical nutrition pharmacists, prescription reviewing pharmacists, clinicians, and nutritionists jointly contributed to the formulation of custom prescription review rules for parenteral nutrition. Utilizing the prescription review system of our hospital, pharmacists reviewed and intervened parenteral nutrition medical orders in real time.Result:After the implementation of review rules, all of the medical orders for parenteral nutrition have been pre-reviewed in our hospital, and the related indicators that are out of normal range and the cases of single bottle infusion show significant reduction in frequency.Conclusion:The formulation and implementation of specific prescription review rules for parenteral nutrition can effectively assist pharmacists in real-time review of parenteral nutrition medical orders, and can solve the problems of inappropriate medical orders and single-bottle infusion.