EMPD: An Event-based Multimodal Physiological Dataset for Remote Pulse Wave Detection (Part 9 of 9)

Note: Due to file size limits and international network stability, this dataset is divided into 9 independent parts. (Note on filename: The physical archive files are named EPMD_Part_xx, which corresponds to this EMPD dataset). Remote photoplethysmography (rPPG) based on traditional frame-based cameras often struggles with motion artifacts and limited temporal resolution. To address these limitations, we introduce EMPD (Event-based Multimodal Physiological Dataset), the first benchmark dataset specifically designed for non-contact physiological sensing via event cameras. The dataset leverages a laser-assisted acquisition system where a high-coherence laser modulates subtle skin vibrations from the radial artery into significant signals detectable by a neuromorphic sensor. The hardware platform integrates a high-resolution event camera to capture micro-motions and intensity transients, an industrial RGB camera to provide traditional rPPG benchmarks, and a clinical-grade pulse oximeter to record ground truth PPG waveforms. EMPD contains 193 valid multimodal recordings (68 seconds each) collected from 83 subjects, covering a wide heart rate range (40–110 BPM) under both resting and post-exercise conditions. By providing precisely synchronized multimodal data with microsecond-level temporal precision, EMPD serves as a crucial resource for developing robust algorithms in the field of neuromorphic physiological monitoring. Detailed Hardware Specifications: Wrist Event Streams: Captured using a high-speed event camera (Prophesee EVK4) focusing on the radial artery region, with a spatial resolution of 1280 × 720 and a timestamp precision of 1 µs. A low-power continuous-wave laser pointer (660 nm) is used as an active illumination source. Facial RGB Videos: Recorded using an industrial-grade RGB camera (FLIR BFS-U3-31S4C-C) at an original resolution of 2048 × 1536 and 30 Hz (downsampled and compressed to 640 × 480). Ground-Truth PPG: High-fidelity contact-based PPG waveforms and heart rate recorded synchronously at 60Hz using a clinically validated finger-clip pulse oximeter (CONTEC CMS50E). Metadata & Labels: The global metadata file is available in Part 1. It includes Label (0: Resting, 1: Post-exercise), Gender (0: Male, 1: Female), and Participant IDs.注意：受限于文件大小限制与国际网络稳定性，本数据集被拆分为9个独立部分。（文件名说明：实体归档文件命名为EPMD_Part_xx，对应本EMPD数据集）。 基于传统帧式相机的远程光电容积描记术（remote photoplethysmography, rPPG）常受运动伪影与有限时间分辨率的困扰。为解决这些局限，我们提出EMPD（Event-based Multimodal Physiological Dataset，基于事件的多模态生理数据集）——首个专为事件相机非接触式生理感知打造的基准数据集。 本数据集采用激光辅助采集系统，通过高相干激光将桡动脉处细微的皮肤振动调制为神经形态传感器可检测的显著信号。硬件平台集成了用于捕捉微运动与强度瞬变的高分辨率事件相机、用于提供传统rPPG基准的工业级RGB相机，以及用于记录真值PPG波形的临床级脉搏血氧仪。EMPD包含来自83名受试者的193段有效多模态记录（每段时长68秒），涵盖静息与运动后两种状态下40–110 BPM的心率范围。凭借微秒级时间精度的精准同步多模态数据，EMPD将成为神经形态生理监测领域开发鲁棒性算法的关键资源。 详细硬件规格： 腕部事件流：采用高速事件相机（Prophesee EVK4）采集，聚焦桡动脉区域，空间分辨率为1280 × 720，时间戳精度达1 µs；使用低功率连续波激光笔（660 nm）作为主动照明光源。 面部RGB视频：采用工业级RGB相机（FLIR BFS-U3-31S4C-C）录制，原始分辨率为2048 × 1536，帧率30 Hz（已下采样并压缩至640 × 480）。 真值PPG：采用经临床验证的指夹式脉搏血氧仪（CONTEC CMS50E），以60 Hz频率同步录制高保真接触式PPG波形与心率，作为真值数据。 元数据与标签：全局元数据文件收录于第1部分，包含标签（0：静息状态，1：运动后状态）、性别（0：男性，1：女性）以及受试者编号。