Respiratory and Drug Actuation (RDA) Suite

The Respiratory and Drug Actuation (RDA) Suite, developed by the University of Patras, Greece, is a comprehensive set of tools designed for audio processing, feature extraction, and classification procedures related to asthma medication adherence. The accompanying dataset, RDA, contains 370 audio recordings of respiratory and drug actuation sounds, captured under controlled acoustic conditions. These recordings, sourced from three subjects familiar with inhaler techniques, are used for benchmarking and further research in assessing inhalation techniques and medication adherence. The dataset is instrumental in developing and evaluating classification models based on machine learning and deep learning architectures, aiming to provide objective methods for assessing inhalation techniques during clinical consultations.

希腊帕特雷大学开发的呼吸与药物触发（Respiratory and Drug Actuation, RDA）套件，是一套专为哮喘用药依从性相关音频处理、特征提取及分类任务打造的综合性工具集合。配套的RDA数据集共包含370条呼吸与药物触发声音的音频录音，均采集于受控声学环境中。这些录音样本来自3名熟悉吸入器操作技法的受试者，可用于吸入技术与用药依从性评估领域的基准测试与后续研究工作。该数据集在开发与评估基于机器学习、深度学习架构的分类模型方面发挥着关键作用，旨在为临床问诊场景中的吸入技术评估提供客观方法。