Digital Health Data Repository


DHDR (Digital Health Data Repository) is a growing collection of sample datasets to support research in digital biomarkers and related areas of digital health. Whether you’re developing new methods, validating models, or exploring health-related signals, DHDR provides easy access to relevant data.
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We welcome contributions! If you have a dataset to share, consider uploading it to a public repository like PhysioNet or the UCI Machine Learning Repository. We’ll be happy to feature it in the DHDR.

Modalities

Clear
AdolescentsSchizophrenia
EEG
The subjects were adolescents who had been screened by psychiatrist and divided into two groups: healthy (n = 39) and with symptoms of schizophrenia (n = 45).
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Stanford Wearables
Basis
Basis
HR, accelerometer, steps, activity, skin temperature, calories, and SpO2 data from 7 wearables
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Welltory HRV COVID19 Dataset
Apple Watch
Garmin
Fitbit
Welltory launched an open research project aimed at identifying diagnostic patterns of coronavirus-inflicted disease detection, progression, and recovery. People with the virus are invited to participate in this study by tracking their symptoms, heart rate variability, and data from wearables such as Apple Watch, Garmin, or Fitbit with the Welltory app.
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UCLA-rPPG
rPPG
rPPG
A largest rPPG dataset of its kind (UCLA-rPPG) with a diverse presence of subject skin tones, in the hope that this could serve as a benchmark dataset for different skin tones in this area and ensure that advances of the technique can benefit all people for healthcare equity.
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WristPPGDuringExercise
Shimmer
ECG
This database contains wrist PPGs recorded during walking, running and bike riding. Simultaneous motion estimates and A reference chest ECG are included as well.
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PPG-DaLiA
PPG
ECG
This multimodal dataset features physiological and motion data, recorded from both a wrist- and a chest-worn device, of 15 subjects while performing a wide range of activities under close to real-life conditions.
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OxygenSaturationVariability
Respiratory band
Respiratory band
This database contains one-hour oxygen saturation measurements of 36 patients, used for the analysis of oxygen saturation variability. The sampling frequency (SF) used to be 1kHz, but through preprocessing, the SF of the saved data is 1Hz.
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BIDMC_SpO2
PPG
PPG
Two annotators manually annotated individual breaths in each recording using the impedance respiratory signal. The 53 recordings within the dataset, each of 8-minute duration.
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JCHR Diabetes
CGM
Diabetes-related datasets and their corresponding protocol from 2010 to 2020. (Recent additions include ReCGM, CITY, WISDM, SENCE, and JDRF.)
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Smartwatch Prediabetes
Empatica E4
CGM
CGM
Data from 16 study participants wearing research-grade wearable devices. Includes glucose concentration, accelerometry, blood volume pulse, electrodermal activity, heart rate, interbeat interval, and skin temperature measurements over 8-10 days.
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STAFF III Database
ECG
ECG recordings from 104 patients.
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MIT-BIH Noise Stress Test Database
ECG
12 half-hour ECG recordings & 3 half-hour recordings of noise typical in ambulatory ECG recordings.
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MIT-BIH Arrythmia Database
ECG
48 half-hour excerpts of two-channel ambulatory ECG recordings, obtained from 47 subjects.
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Long Term ST Database
ECG
86 lengthy ECG recordings of 80 human subjects, chosen to exhibit a variety of events of ST segment changes, including ischemic ST episodes, axis-related non-ischemic ST episodes, episodes of slow ST level drift, and episodes containing mixtures of these phenomena.
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European ST-T Database
ECG
The European ST-T Database is intended to be used for evaluation of algorithms for analysis of ST and T-wave changes. This database consists of 90 annotated excerpts of ambulatory ECG recordings from 79 subjects.
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ANSI/AAMI EC13 Test Waveforms
ECG
Synthetic and real waveform recordings that can be used for testing a variety of devices that monitor the electrocardiogram.
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MHEALTH
ECG
Shimmer
Shimmer
Body motion and vital signs recordings for ten volunteers while performing several physical activities. Includes acceleration, rate of turn and magnetic field orientation data as measured at various body positions, and 2-lead ECG measurements.
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STEP
ECG
Empatica E4
Apple Watch
Fitbit
Garmin
This dataset contains time-synced data from 6 wearable sensors and ECG over 4 activities with skin tone recorded.
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Covidentify
Fitbit
Garmin
Apple Watch
Data from the CovIdentify study launched by Duke's BIG IDEAs Lab in the Biomedical Engineering Department. From April 2nd, 2020 to May 25th, 2021, 2,887 participants connected their smartwatches to the CovIdentify platform, including 1,689 Garmin, 1,091 Fitbit, and 107 Apple smartwatches
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DREAMT
Empatica E4
PSG
A new dataset collected from 100 participants, which includes high-resolution signals from a smartwatch, expert sleep technician-annotated sleep stage labels, and clinical metadata related to sleep health and disorders.
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