Signal Processing for Athletic Cardiovascular Monitoring with Wearable Sensors: Fully Automatic Detection of Training Phases from Heart Rate Data

Romagnoli, Sofia; Sbrollini, Agnese; Scalese, Alessio; Marcantoni, Ilaria; Morettini, Micaela; Burattini, Laura

doi:10.1109/bibm52615.2021.9669408

Cited by 5 publications

(9 citation statements)

References 17 publications

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“…Further, outlier values of HR series deviating by more than ±10% from the running median of HR series computed over 40 beats were replaced with the corresponding median value. Finally, an algorithm for automatic detection of training phases is applied to segment HR series in resting and exercise phases [3]. HR and HRV parameters are extracted and assessed from the HR series according to [1,[6][7][8].…”

Section: Discussionmentioning

confidence: 99%

“…Sample runs refer to SportDB database, specifically subject 2 of Jogging dataset [9]. Colours help the identification of training phases and acceleration (green band) and deceleration (light blue band) on the HR series plot [3]. Automatic analysis is based on feature definition provided in literature [1,[6][7][8], and thus cannot be changed by the user.…”

Section: Discussionmentioning

confidence: 99%

“…The use of wearable devices for continuous cardiovascular monitoring while playing sport is spreading [1][2][3]. Heart rate (HR, bpm) can be non-invasively and efficiently measured by wearable devices directly on field [4][5].…”

Section: Introductionmentioning

confidence: 99%

“…Measures of HR and HRV reflect the organism's reaction to psychophysical stress and metabolic-request changes [6]. Thus, HR and HRV are increasingly used to define performance indexes, assessing the response to physical exercise in terms of fatigue and fitness level, and prevention indexes assessing the risk for sport related sudden cardiac death (SrSCD) [1][2][3]6].…”

Section: Introductionmentioning

confidence: 99%

“…HR series can be analysed in time domain, frequency domain and with non-linear methods. The analysis of HR and HRV while training requires several information among which demographic data, anthropometric data and the training context [1,3]. Further highly trained athletes suffer exercise-related physiological adaptation which could lead to different normative values for interpretation of HR and HRV parameters compared to general population [7].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Sport?Sicuro! A Graphical User Interface for Continuous Cardiovascular Monitoring while Playing Sport Based on Heart Rate and Heart-Rate Variability

Romagnoli¹,

Sbrollini²,

Marcantoni³

et al. 2022

Computing in Cardiology Conference (CinC)

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Heart rate (HR) and heart-rate variability (HRV) are increasingly used to assess the body response to heavy physical effort and to define cardiovascular risk indices for sport related sudden cardiac death. The complexity of physiological phenomena affecting HR and HRV makes difficult the interpretation of measures provided by commercial wearable technologies for athletes and trainers. Availability of interactive applications for analysis of HR series can optimize continuous cardiovascular self-monitoring while training. This paper proposes Sport?Sicuro!, a graphical user interface that allows automatic computation of prevention and performance indexes from HR series for cardiovascular monitoring while practicing sport. This tool is an interactive instrument to support self-monitoring of athletes as well as the work of sport medicine clinicians. Sport?Sicuro! was developed under MATLAB®. Automatic analysis of HR series is based on some unchangeable features definitions provided in literature, and other arbitrary settings, the default values of which can be changed by the user. Eventually, Sport?Sicuro! provides a report file listing all the quantitative results of the HR analysis. Thus, Sport?Sicuro! represents a potentially useful graphical tool for automatic and objective analysis of HR series in sport.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Sport?Sicuro! A Graphical User Interface for Continuous Cardiovascular Monitoring while Playing Sport Based on Heart Rate and Heart-Rate Variability

Romagnoli¹,

Sbrollini²,

Marcantoni³

et al. 2022

Computing in Cardiology Conference (CinC)

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Symbolic Analysis of Heart-Rate Variability during Training and Competition in Short Distance Running

Romagnoli

Sbrollini

Morettini

et al. 2023

2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS)

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Wearable and Portable Devices for Acquisition of Cardiac Signals while Practicing Sport: A Scoping Review

Romagnoli

Ripanti

Morettini

et al. 2023

Sensors

Self Cite

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Wearable and portable devices capable of acquiring cardiac signals are at the frontier of the sport industry. They are becoming increasingly popular for monitoring physiological parameters while practicing sport, given the advances in miniaturized technologies, powerful data, and signal processing applications. Data and signals acquired by these devices are increasingly used to monitor athletes’ performances and thus to define risk indices for sport-related cardiac diseases, such as sudden cardiac death. This scoping review investigated commercial wearable and portable devices employed for cardiac signal monitoring during sport activity. A systematic search of the literature was conducted on PubMed, Scopus, and Web of Science. After study selection, a total of 35 studies were included in the review. The studies were categorized based on the application of wearable or portable devices in (1) validation studies, (2) clinical studies, and (3) development studies. The analysis revealed that standardized protocols for validating these technologies are necessary. Indeed, results obtained from the validation studies turned out to be heterogeneous and scarcely comparable, since the metrological characteristics reported were different. Moreover, the validation of several devices was carried out during different sport activities. Finally, results from clinical studies highlighted that wearable devices are crucial to improve athletes’ performance and to prevent adverse cardiovascular events.

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Signal Processing for Athletic Cardiovascular Monitoring with Wearable Sensors: Fully Automatic Detection of Training Phases from Heart Rate Data

Cited by 5 publications

References 17 publications

Sport?Sicuro! A Graphical User Interface for Continuous Cardiovascular Monitoring while Playing Sport Based on Heart Rate and Heart-Rate Variability

Sport?Sicuro! A Graphical User Interface for Continuous Cardiovascular Monitoring while Playing Sport Based on Heart Rate and Heart-Rate Variability

Symbolic Analysis of Heart-Rate Variability during Training and Competition in Short Distance Running

Wearable and Portable Devices for Acquisition of Cardiac Signals while Practicing Sport: A Scoping Review

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