HLS-CMDS: Heart and Lung Sounds Dataset Recorded from a Clinical Manikin using Digital Stethoscope

** Accepted in IEEE Data Descriptions Journal **
This dataset contains 535 recordings of heart and lung sounds captured using a digital stethoscope from a clinical manikin, including both individual and mixed recordings of heart and lung sounds; It includes 50 heart sounds, 50 lung sounds, and 145 mixed sounds. For each mixed sound, the corresponding source heart sound (145 recordings) and source lung sound (145 recordings) were also recorded. It includes recordings from different anatomical chest locations, with normal and abnormal sounds. Each recording has been filtered to highlight specific sound types, making it valuable for artificial intelligence (AI) research and applications in automated cardiopulmonary disease detection, sound classification, and deep learning algorithms related to audio signal processing. If you use this dataset in your research, please cite the following paper:

Y. Torabi, S. Shirani and J. P. Reilly, "Descriptor: Heart and Lung Sounds Dataset Recorded from a Clinical Manikin using Digital Stethoscope (HLS-CMDS)," in IEEE Data Descriptions, https://doi.org/10.1109/IEEEDATA.2025.3566012 .

Data Type: Audio files (.wav), Comma Separated Values (.CSV)

Each category is accompanied by a corresponding CSV file that provides metadata for the respective audio files. The CSV files (HS.csv, LS.csv, and Mix.csv) contain metadata about the corresponding audio files, including the file name, gender, heart and lung sound type, and the anatomical location where we recorded the sound.

Sound Types: Normal Heart, Late Diastolic Murmur, Mid Systolic Murmur, Late Systolic Murmur, Atrial Fibrillation, Fourth Heart Sound, Early Systolic Murmur, Third Heart Sound, Tachycardia, Atrioventricular Block, Normal Lung, Wheezing, Fine Crackles, Rhonchi, Pleural Rub, and Coarse Crackles.

Auscultation Landmarks: Right Upper Sternal Border, Left Upper Sternal Border, Lower Left Sternal Border, Right Costal Margin, Left Costal Margin, Apex, Right Upper Anterior, Left Upper Anterior, Right Mid Anterior, Left Mid Anterior, Right Lower Anterior, and Left Lower Anterior.

Applications: AI-based cardiopulmonary disease detection, unsupervised sound separation techniques, and deep learning for audio signal processing.

**已被《IEEE数据描述期刊》（IEEE Data Descriptions Journal）收录**
本数据集包含535条心音与肺音录音，均通过数字听诊器从临床模拟人体（clinical manikin）采集，涵盖单一声源与混合声源的心音、肺音录音；其中包含50条心音录音、50条肺音录音及145条混合录音。针对每一条混合录音，同步采集了对应的原始心音（145条）与原始肺音（145条）录音。
本数据集的录音覆盖胸部不同解剖位置，包含正常与异常音。每条录音均经过滤波处理以突出特定声音类型，可用于人工智能（AI）在自动化心肺疾病检测、声音分类以及音频信号处理相关深度学习算法等领域的研究与应用。
若您在研究中使用本数据集，请引用以下论文：
Y. Torabi、S. Shirani与J. P. Reilly，"描述文件：基于数字听诊器从临床模拟人体采集的心音与肺音数据集（HLS-CMDS）"，发表于《IEEE数据描述》（IEEE Data Descriptions），DOI：10.1109/IEEEDATA.2025.3566012。
数据类型：音频文件（.wav）、逗号分隔值文件（.CSV）
每个类别均配有对应的CSV文件，用于提供对应音频文件的元数据。HS.csv、LS.csv与Mix.csv这三个CSV文件包含对应音频文件的元数据，包括文件名、受试者性别、心音/肺音类型以及录音的解剖位置。
声音类型：正常心音（Normal Heart）、舒张晚期杂音（Late Diastolic Murmur）、收缩中期杂音（Mid Systolic Murmur）、收缩晚期杂音（Late Systolic Murmur）、心房颤动（Atrial Fibrillation）、第四心音（Fourth Heart Sound）、收缩早期杂音（Early Systolic Murmur）、第三心音（Third Heart Sound）、心动过速（Tachycardia）、房室传导阻滞（Atrioventricular Block）、正常肺音（Normal Lung）、哮鸣音（Wheezing）、细湿啰音（Fine Crackles）、鼾音（Rhonchi）、胸膜摩擦音（Pleural Rub）以及粗湿啰音（Coarse Crackles）。
听诊标记位点：胸骨右缘上区（Right Upper Sternal Border）、胸骨左缘上区（Left Upper Sternal Border）、胸骨左缘下区（Lower Left Sternal Border）、右肋缘（Right Costal Margin）、左肋缘（Left Costal Margin）、心尖区（Apex）、右上前区（Right Upper Anterior）、左上前区（Left Upper Anterior）、右中前区（Right Mid Anterior）、左中前区（Left Mid Anterior）、右前下区（Right Lower Anterior）以及左前下区（Left Lower Anterior）。
应用场景：基于AI的心肺疾病检测、无监督声音分离技术以及音频信号处理相关深度学习算法。