CTU_CHB intra-partum CTG daatbase
The dataset provides annotations for the 552 cardiotocographic (CTG) recordings. Each CTG recording is composed by two simultaneously acquired signals: i) the fetal heart rate (FHR) and ii) the maternal tocogram (representing uterine activity). Annotations consist in the detection of starting and ending points of specific CTG events on both FHR signal and maternal tocogram.
COVID-19 in Italy: Dataset of the Italian Civil Protection Department.
The database has been designed and created by the Italian Civil Protection Department, which currently manages it. The database consists of six folders called ‘aree’ (containing charts of geographical areas interested by containment measures), ‘dati-andamento-nazionale’ (containing data relating to the national trend of SARS-CoV-2 spread), ‘dati-json’ (containing data that summarize the national, provincial and regional trends of SARS-CoV-2 spread), ‘dati-province’ (containing data relating to the provincial trend of SARS-CoV-2 spread), ‘dati-regioni’ (containing data relating to the regional trend of SARS-CoV-2 spread) and ‘schede-riepilogative’ (containing summary sheets relating to the provincial and regional trends of SARS-CoV-2 spread).
BTD-NWBB: Balance Test Data from Nintendo Wii Balance Board.
Data provided with the database are relative to kinetic measures from standing posture trials in eye open and eye closed conditions of 15 healthy subjects, acquired from a dynamometric force plate and a Nintendo Wii Balance Board (NBB). Raw data from the force plate include three ground reaction force components, center of pressure trajectories and torque around the vertical axis. Raw data from the NBB consist of vertical component of the ground reaction force measured by each of the four device sensors.
Postural data from Stargardt’s syndrome patients
The database is a collection of postural data acquired from 10 patients affected by the rare Stargardt’s syndrome, all having the ABCA4 gene mutation, and from 10 control healthy subjects. Each subject performed a total of 15 postural tests, 5 postural tests for 3 different conditions (‘C’: eyes-closed; ‘O’: eyes-open, still target fixation; ‘M’: eyes-open, moving target tracking).
Sport Database: Cardiorespiratory data acquired through wearable sensors while practicing sports
Sport Database is a collection of 126 cardiorespiratory data, acquired through wearable sensors from 81 subjects while practicing 10 different sports. Each cardiorespiratory dataset consists of demographic info (gender, age, weight, height, smoking habit, alcohol consumption and weekly training rate), cardiorespiratory signals (electrocardiogram, heart-rate series, RR-interval series and breathing-rate series) and training notes.
Simultaneously acquired data from contactless and wearable devices for direct and indirect heart-rate measurement.
The dataset provides a set of data acquired on a total of 20 healthy and is composed by: i) videos of the subject’s face acquired by a RGB-D (Red, Green, Blue and Depth) camera (Microsoft Kinect v2), ii) electrocardiographic (ECG) recordings acquired by a clinical Holter ECG recorder (Global Instrumentation’s M12R Holter), which is a wearable device; and iii) heart-rate measurements acquired from a commercial smartwatch (Moto 360 smartwatch by Motorola), which is also a wearable device. ECG
A dataset for the development and optimization of fall detection algorithms based on wearable sensors.
The dataset gives data recorded by 8 subjects while simulating 13 types of falls and 5 types of Activities of Daily Living (ADL), each repeated 3 times. In details, data includes 4 simulated falls forward (falling on knees ending up lying, ending in lateral position, ending up lying, ending up lying with recovery), 4 backward (falling sitting ending up lying, ending in lateral position, ending up lying, ending up lying with recovery), 2 lateral right (ending up lying, ending up lying with recovery), 2 lateral left (ending up lying, ending up lying with recovery), and 1 syncope.