Sport Database: Cardiorespiratory data acquired through wearable sensors while practicing sports

Abstract

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. Demographic info was collected by survey. Cardiorespiratory signals were acquired through the chest strap BioHarness 3.0 by Zephyr. Eventually, training notes including the sport-dependent training protocol, were manually annotated. Sport Database may be useful to support: 1) the investigation of cardiorespiratory system adaptations to different types of physical exercise; 2) the development of automatic algorithms finalized to real-time health monitoring of athletes and preventive identification of subjects at increased risk of sport-related sudden cardiac death; and, 3) clinical testing of the BioHarness 3.0 by Zephyr. Further acquisitions could involve other sports, other cardiovascular signals and/or parameters, data from different biological systems, and other acquisition devices.

Initial Investigation of Athletes’ Electrocardiograms Acquired by Wearable Sensors during the Pre-exercise Phase

“…However, the value of this study relies on the fact that it demonstrated the need for reference values by highlighting differences between ECG features obtained when performing the 12-lead ECG test and those obtained from preexercise ECG. Suggested preliminary values were obtained by analyzing ECG recordings of 51 healthy athletes, all belonging to the Sport Database [15] and the Cycling Database of the Cardiovascular Bioengineering Lab of the Università Politecnica delle Marche (Ancona, Italy). Overall, these databases include 138 ECG tracings from 93 athletes.…”

“…Experimental data for this study were taken from the freely available Sport Database [15], including 126 cardiorespiratory datasets from 81 athletes (53 males and 28 females), and from the Cycling Database of the Cardiovascular Bioengineering Lab of the Università Politecnica delle Marche (Ancona, Italy), including 12 cardiorespiratory datasets from 12 athletes (10 males and 2 females). Both databases contain ECG recordings (one lead ECG; sampling frequency 250 Hz) acquired in Caucasian athletes and recorded through the wearable chest strap BioHarness 3.0 by Zephyr (www.zephyranywhere.com).…”

“…The device detects and transmits singlelead ECG signals to be received by Bluetooth / USB qualified ECG instruments. The acquisition protocol was the same for the two databases; according to it, each acquisition included a 5-min long pre-exercise phase, a training phase of varying length, and a 5-min recovery phase [15]. The acquisition protocol was not always strictly respected by the athletes so that pre-exercise ECG is not available for all of them.…”

Feasibility Assessment of Wearable Respiratory Monitors for Ambulatory Inhalation Topography

“…As a result of these new multi-parameter WRMs, the potential use cases have expanded to include many application domains. Researchers have used these multi-parameter WRM systems in military applications [ 3 ] to track operational performance and stress levels in soldiers, in fitness and sports [ 4 ], and in homecare of diseased or elderly patients [ 5 ]. In these applications, the metrics used are typically HR, HRV, and respiratory rate (RR).…”

Feasibility Assessment of Wearable Respiratory Monitors for Ambulatory Inhalation Topography

“…As a result of these new multi-parameter WRMs, the potential use cases have expanded to include many application domains. Researchers have used these multi-parameter WRM systems in military applications [3] to track operational performance and stress levels in soldiers, in fitness and sports [4], and in homecare of diseased or elderly patients [5]. In these applications, the metrics used are typically HR, HRV, and respiratory rate (RR).…”