bsaenz/dreamt

---
pretty_name: "DREAMT: Dataset for Real-time sleep stage Estimation using Multisensor wearable Technology"
tags:
- timeseries
- health
- sleep-staging
- wearables
- physionet
- medical
license: "other"
task_categories:
- other
---

## Dataset Description

**DREAMT** (Dataset for Real-time sleep stage EstimAtion using Multisensor wearable Technology) is a dataset designed to facilitate the development and evaluation of machine learning models for sleep stage estimation using data from multisensor wearable devices.

- **Version:** 2.1.0
- **Repository:** [PhysioNet: DREAMT v2.1.0](https://physionet.org/content/dreamt/2.1.0/)

## Access Policy & Licensing

Due to the sensitive nature of health data, this dataset is restricted and cannot be downloaded directly without authorization.

* **Access Policy:** Only registered PhysioNet users who sign the specified Data Use Agreement (DUA) can access the data files.
* **License:** PhysioNet Restricted Health Data License 1.5.0
* **Data Use Agreement:** PhysioNet Restricted Health Data Use Agreement 1.5.0

Before accessing the data, please visit the [dataset page on PhysioNet](https://physionet.org/content/dreamt/2.1.0/) and follow the instructions to sign the DUA.

## Citation Information

If you use this dataset in your research, you **must** include the following citations.

**1. Cite the dataset resource:**
> Wang, K., Yang, J., Shetty, A., & Dunn, J. (2025). DREAMT: Dataset for Real-time sleep stage EstimAtion using Multisensor wearable Technology (version 2.1.0). PhysioNet. RRID:SCR_007345. https://doi.org/10.13026/7r9r-7r24

**2. Cite the original publication:**
> Will Ke Wang, Jiamu Yang, Leeor Hershkovich, Hayoung Jeong, Bill Chen, Karnika Singh, Ali R Roghanizad, Md Mobashir Hasan Shandhi, Andrew R Spector, Jessilyn Dunn. (2024). Proceedings of the fifth Conference on Health, Inference, and Learning, PMLR 248:380-396.

**3. Include the standard citation for PhysioNet:**
> Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220. RRID:SCR_007345.

数据集名称：DREAMT：基于多传感器可穿戴技术的实时睡眠阶段估计数据集
标签：
- 时间序列
- 医疗健康
- 睡眠分期
- 可穿戴设备
- PhysioNet（生理信号数据库）
- 医学
许可协议：其他
任务类别：其他

## 数据集描述
**DREAMT**（基于多传感器可穿戴技术的实时睡眠阶段估计数据集，Dataset for Real-time sleep stage Estimation using Multisensor wearable Technology）是一款专为支撑基于多传感器可穿戴设备数据的睡眠阶段估计机器学习模型的开发与评估而构建的数据集。
- **版本：** 2.1.0
- **数据集仓库：** [PhysioNet: DREAMT v2.1.0](https://physionet.org/content/dreamt/2.1.0/)

## 访问政策与许可协议
由于健康数据的敏感性，本数据集受访问限制，未经授权无法直接下载。
* **访问政策：** 仅已注册PhysioNet用户并签署指定数据使用协议（Data Use Agreement，DUA）后方可访问数据集文件。
* **许可协议：** PhysioNet受限健康数据许可协议1.5.0
* **数据使用协议：** PhysioNet受限健康数据使用协议1.5.0
在访问数据集前，请访问[PhysioNet平台上的数据集页面](https://physionet.org/content/dreamt/2.1.0/)并按照指示签署数据使用协议。

## 引用信息
若您在研究中使用本数据集，**必须**引用以下文献。
**1. 数据集资源引用：**
> Wang, K., Yang, J., Shetty, A., & Dunn, J. (2025). DREAMT: Dataset for Real-time sleep stage EstimAtion using Multisensor wearable Technology (version 2.1.0). PhysioNet. RRID:SCR_007345. https://doi.org/10.13026/7r9r-7r24
**2. 原始研究文献引用：**
> Will Ke Wang, Jiamu Yang, Leeor Hershkovich, Hayoung Jeong, Bill Chen, Karnika Singh, Ali R Roghanizad, Md Mobashir Hasan Shandhi, Andrew R Spector, Jessilyn Dunn. (2024). Proceedings of the fifth Conference on Health, Inference, and Learning, PMLR 248:380-396.
**3. PhysioNet官方标准引用：**
> Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220. RRID:SCR_007345.