Data Analytics for Health and Connected Care

Connecting Data Analytics to Healthcare Knowledge in an IoT environment

DAHCC Protego

In order to build a connected care application, we need to get a good view of the daily activities and lifestyle of the person being monitored at home. Therefore, one of the aims of the PROTEGO project was to collect activity/lifestyle data based on the available sensor data in an ambient house, e.g. sensors for location, movement, light, temperature, the use of certain devices, etc. together with sensors on the monitored people themselves, e.g. wearables or sensors on a smartphone. In addition, sensors are also provided to measure the participants' condition, e.g. blood pressure or weight. The data collection is performed in the IDLab Homelab. In total: 31 "day in life" participants and 12 "night" participants enrolled in this PROTEGO study. More information on all used equipment, mobile applications and Homelab sensors can be found here

KG data

All Homelab data samples and performed activities were semantically mapped onto the DAHCC ontology. The Knowledge Graph, for each of the 43 participants, can be found here:

DAHCC KG - 0.65G

user data user data user data
participant_1 kg.nt.gzip participant_15 kg.nt.gzip participant_29 kg.nt.gzip
participant_2 kg.nt.gzip participant_16 kg.nt.gzip participant_30 kg.nt.gzip
participant_3 kg.nt.gzip participant_17 kg.nt.gzip participant_31 kg.nt.gzip
participant_4 kg.nt.gzip participant_18 kg.nt.gzip participant_1_night kg.nt.gzip
participant_5 kg.nt.gzip participant_19 kg.nt.gzip participant_2_night kg.nt.gzip
participant_6 kg.nt.gzip participant_20 kg.nt.gzip participant_3_night kg.nt.gzip
participant_7 kg.nt.gzip participant_21 kg.nt.gzip participant_4_night kg.nt.gzip
participant_8 kg.nt.gzip participant_22 kg.nt.gzip participant_5_night kg.nt.gzip
participant_9 kg.nt.gzip participant_23 kg.nt.gzip participant_6_night kg.nt.gzip
participant_10 kg.nt.gzip participant_24 kg.nt.gzip participant_7_night kg.nt.gzip
participant_11 kg.nt.gzip participant_25 kg.nt.gzip participant_8_night kg.nt.gzip
participant_12 kg.nt.gzip participant_26 kg.nt.gzip participant_9_night kg.nt.gzip
participant_13 kg.nt.gzip participant_27 kg.nt.gzip participant_10_night kg.nt.gzip
participant_14 kg.nt.gzip participant_28 kg.nt.gzip participant_11_night kg.nt.gzip
participant_16 kg.nt.gzip participant_28 kg.nt.gzip participant_12_night kg.nt.gzip

Raw Dataset

Full Protego Day Dataset - 22G

user data labels user data labels
participant_1 data.feather labels.csv participant_17 data.feather labels.csv
participant_2 data.feather labels.csv participant_18 data.feather labels.csv
participant_3 data.feather labels.csv participant_19 data.feather labels.csv
participant_4 data.feather labels.csv participant_20 data.feather labels.csv
participant_5 data.feather labels.csv participant_21 data.feather labels.csv
participant_6 data.feather labels.csv participant_22 data.feather labels.csv
participant_7 data.feather labels.csv participant_23 data.feather labels.csv
participant_8 data.feather labels.csv participant_24 data.feather labels.csv
participant_9 data.feather labels.csv participant_25 data.feather labels.csv
participant_10 data.feather labels.csv participant_26 data.feather labels.csv
participant_11 data.feather labels.csv participant_27 data.feather labels.csv
participant_12 data.feather labels.csv participant_28 data.feather labels.csv
participant_13 data.feather labels.csv participant_29 data.feather labels.csv
participant_14 data.feather labels.csv participant_30 data.feather labels.csv
participant_15 data.feather labels.csv participant_31 data.feather labels.csv
participant_16 data.feather labels.csv

Full Protego Night Dataset - 6.5G

user data labels user data labels
participant_night_1 data.feather labels.csv participant_night_7 data.feather labels.csv
participant_night_2 data.feather labels.csv participant_night_8 data.feather labels.csv
participant_night_3 data.feather labels.csv participant_night_9 data.feather labels.csv
participant_night_4 data.feather labels.csv participant_night_10 data.feather labels.csv
participant_night_5 data.feather labels.csv participant_night_11 data.feather labels.csv
participant_night_6 data.feather labels.csv participant_night_12 data.feather labels.csv