Glucdict - Wearable Sensors and CGM

The Glucdict dataset consists on three types of data which arrive from three different sources:\<br>(1) blood glucose measurements from a Continuous Glucose Monitoring device.\<br>(2) a smartwatch device and its sensors’ measurements, which include heart rate, step detector and some motion sensors.\<br>(3) user activities, such as eating or drinking, which the user documents manually using a dedicated app installed on their smartphone.The dataset included 12 participants along 10 days. They were asked to wear the ”Mobvoi TicWatch Pro 2020” smartwatch on their right hand, the DEXCOM G6 CGM device, and their android smartphone.\<br>In addition, the activity types and duration were manually recorded by the participants each time they ate or drank using the ”GlucoDataSaver” app. The described experiment was approved by Human Subjects Research Committee of Ben-Gurion University.The recruitment period for this study spanned from October 26, 165 2021, to February 7, 2022. Each participant signed a consent document for the experiment which described the course of the experiment and its purpose.The participants were mostly students – 9 of 12, with age range between 22 and 63. The weight range was between 53 and 87 kg. The height range in centimeters was between 162 and 185. The gender distribution was 5 females and 7 males. One of the participants was a T1D.The dataset structured in the following way:<b>Sensor IDs mapping:</b>ACCELEROMETER = 1STEP_COUNTER = 19GYROSCOPE = 4MAGNETIC_FIELD = 2GRAVITY = 9LINEAR_ACCELERATION = 10ROTATION_VECTOR = 11EARTH_ACC = 99HEART_RATE = 21STEP_DETECTOR = 18<b>There is a folder for each user (User1, ..., User12):</b>Each user has 3 folders:<b>Glucose</b>: contains a csv file with 5 columns - index, timestamp, glucose value(mg/dL), transmitter and transmitter ID. Each row represents a glucose measurement (every 5 minutes).<b>Phone</b>: contains two folders - Activities and Sensors.Activities: contains csv files with manually recorded activities - mostly eat and drink and their timestamps.Sensors: contains csv files with the sensors data - each row consists a sensor ID, timestamp and values.<b>Watch</b>: contains csv files with the sensors data - same format as the phone's sensors.