Hand-BCG & SCG signals dataset

General description This repository contains Ballistocardiogram signals collected from multiple users while they were holding a mobile phone in hand and Seismocardiogram signals collected with the phone placed on their chest. It consists of 3 different datasets made up of multiple recordings from a...

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Hauptverfasser: Jiokeng, Kevin, Jakllari, Gentian, Beylot, André-Luc
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creator Jiokeng, Kevin
Jakllari, Gentian
Beylot, André-Luc
description General description This repository contains Ballistocardiogram signals collected from multiple users while they were holding a mobile phone in hand and Seismocardiogram signals collected with the phone placed on their chest. It consists of 3 different datasets made up of multiple recordings from a total of 272 different users. The main characteristics of these datasets are given below. +---+---+---+---+---+---+---+---+---+ | | Loc. | # users | Age range | # sessions per user | session length | Phone | Acc. Fs | Gyr. Fs | +---+---+---+---+---+---+---+---+---+ | Dataset A | Hand | 112 | 20-60 | 10 | 30s | Samsung S8 | 100 Hz | 500 Hz | +---+---+---+---+---+---+---+---+---+ | Dataset B | Hand | 105 | 20-32 | 1 | 30s | Google Pixel | 50 Hz | 400 Hz | +---+---+---+---+---+---+---+---+---+ | Dataset C | Chest | 55 | 19-52 | 4 | 30s | Google Pixel | 50 Hz | 400 Hz | +---+---+---+---+---+---+---+---+---+ Content of each dataset Each dataset is made up of multiple files, with each file corresponding to a given measurement session. The name of a given file indicates some metadata about the measurement session itselft. It is assigned based on the following template: - - yrs- _ - - _ - - .csv The content of the file itself corresponds to the sensor readings collected during the measurement session. It is a collection of timestamped sensor values, reported in a comma-separated format. The first column represent the timestamp of the sensor event (in nanoseconds), the second one the type of the considered sensor and the 3 following ones the actual values along the different axis. Please refer to the official Android SensorEvent documentation for more details.
doi_str_mv 10.5281/zenodo.5187909
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It consists of 3 different datasets made up of multiple recordings from a total of 272 different users. The main characteristics of these datasets are given below. +---+---+---+---+---+---+---+---+---+ | | Loc. | # users | Age range | # sessions per user | session length | Phone | Acc. Fs | Gyr. Fs | +---+---+---+---+---+---+---+---+---+ | Dataset A | Hand | 112 | 20-60 | 10 | 30s | Samsung S8 | 100 Hz | 500 Hz | +---+---+---+---+---+---+---+---+---+ | Dataset B | Hand | 105 | 20-32 | 1 | 30s | Google Pixel | 50 Hz | 400 Hz | +---+---+---+---+---+---+---+---+---+ | Dataset C | Chest | 55 | 19-52 | 4 | 30s | Google Pixel | 50 Hz | 400 Hz | +---+---+---+---+---+---+---+---+---+ Content of each dataset Each dataset is made up of multiple files, with each file corresponding to a given measurement session. The name of a given file indicates some metadata about the measurement session itselft. 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It consists of 3 different datasets made up of multiple recordings from a total of 272 different users. The main characteristics of these datasets are given below. +---+---+---+---+---+---+---+---+---+ | | Loc. | # users | Age range | # sessions per user | session length | Phone | Acc. Fs | Gyr. Fs | +---+---+---+---+---+---+---+---+---+ | Dataset A | Hand | 112 | 20-60 | 10 | 30s | Samsung S8 | 100 Hz | 500 Hz | +---+---+---+---+---+---+---+---+---+ | Dataset B | Hand | 105 | 20-32 | 1 | 30s | Google Pixel | 50 Hz | 400 Hz | +---+---+---+---+---+---+---+---+---+ | Dataset C | Chest | 55 | 19-52 | 4 | 30s | Google Pixel | 50 Hz | 400 Hz | +---+---+---+---+---+---+---+---+---+ Content of each dataset Each dataset is made up of multiple files, with each file corresponding to a given measurement session. The name of a given file indicates some metadata about the measurement session itselft. 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identifier DOI: 10.5281/zenodo.5187909
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subjects Ballistocardiography (BCG)
Chest
Hand
Inertial Measurement Units (IMU)
Seismocardiography (SCG)
Smartphone
title Hand-BCG & SCG signals dataset
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