Predicting chronic stress among healthy females using daily-life physiological and lifestyle features from wearable sensors
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This dataset containts the recordings of 129 participants that wore the Fitbit Charge 3 for seven consecutive days. Each row represent 1 minute. In this dataset you will find information regarding participants' heart rate (BPM), sleep status, steps and other features. The file "Dict.xlsx" contains description of the different columns in the dataset. The full description of the dataset and of the pre-processing steps can be found in Magal et.al (2022) paper: "Predicting chronic stress among healthy females using daily-life physiological and lifestyle features from wearable sensors". For more information please contact Dr. Roee Admon radmon@psy.haifa.ac.il
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Zenodo创建时间：
2022-07-21
