RR interval signal quality of a heart rate monitor and an ECG Holter at rest and during exercise

2019 ◽  
Vol 119 (7) ◽  
pp. 1525-1532 ◽  
Author(s):  
Rahel Gilgen-Ammann ◽  
Theresa Schweizer ◽  
Thomas Wyss
2020 ◽  
Vol 13 (4) ◽  
pp. 31-43
Author(s):  
Seiko Goto ◽  
Yuki Morota ◽  
Congcong Liu ◽  
Minkai Sun ◽  
Bertram Emil Shi ◽  
...  

Aim: To explore people’s visual attention and psychological and physiological responses to viewing a Japanese garden (an asymmetrically designed garden) and an herb garden (a symmetrically designed garden). Background: There are few studies of eye movements when observing different style gardens, and how they are connected to the interpretation of the space, and physiological and psychological responses. Method: Thirty subjects were recruited and their physiological and psychological responses to viewing the garden types were assessed using a heart-rate monitor and questionnaire. Eye movements while viewing projected slide images of the gardens were tracking using an eye-tracking monitor. Results: A significant decrease in heart rate was observed when subjects were viewing the Japanese garden as opposed to viewing the herb garden. Mood was significantly improved in both gardens, but eye-gaze patterns differed. The Japanese garden elicited far more comments about expectations for the coming season; unlike the herb garden, it also induced memories of viewing other landscapes. Conclusion: The physiological and psychological responses to viewing gardens differs based on the quality of landscape design and the prior experience of viewers.


Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3156
Author(s):  
Mimma Nardelli ◽  
Nicola Vanello ◽  
Guenda Galperti ◽  
Alberto Greco ◽  
Enzo Pasquale Scilingo

The non-invasiveness of photoplethysmographic (PPG) acquisition systems, together with their cost-effectiveness and easiness of connection with IoT technologies, is opening up to the possibility of their widespread use. For this reason, the study of the reliability of PPG and pulse rate variability (PRV) signal quality has become of great scientific, technological, and commercial interest. In this field, sensor location has been demonstrated to play a crucial role. The goal of this study was to investigate PPG and PRV signal quality acquired from two body locations: finger and wrist. We simultaneously acquired the PPG and electrocardiographic (ECG) signals from sixteen healthy subjects (aged 28.5 ± 3.5, seven females) who followed an experimental protocol of affective stimulation through visual stimuli. Statistical tests demonstrated that PPG signals acquired from the wrist and the finger presented different signal quality indexes (kurtosis and Shannon entropy), with higher values for the wrist-PPG. Then we propose to apply the cross-mapping (CM) approach as a new method to quantify the PRV signal quality. We found that the performance achieved using the two sites was significantly different in all the experimental sessions (p < 0.01), and the PRV dynamics acquired from the finger were the most similar to heart rate variability (HRV) dynamics.


2021 ◽  
Vol 2 ◽  
Author(s):  
Katherine Le ◽  
Amir Servati ◽  
Saeid Soltanian ◽  
Peyman Servati ◽  
Frank Ko

Electronic textile (e-textile) systems applied to biological signal monitoring are of great interest to the healthcare industry, given the potential to provide continuous and long-term monitoring of healthy individuals and patients. Most developments in e-textiles have focused on novel materials and systems without systematic considerations into how the hierarchical structure of fibrous assemblies may influence performance and compatibility of the materials during use. This study examines mechanisms underlying the stability and quality of textile-based electrocardiogram (ECG) electrodes used in a smart bra. Signal quality of the biometric data obtained affects feedback and user experience and may be influenced by characteristics and properties of the material. Under stationary and dynamic conditions, analysis of the raw ECG signal and heart rate, with respect to textile-electrode material properties have been performed. Currently, there is no standardized procedure to compare the ECG signal between electrode materials. In this study, several methods have been applied to compare differences between silver-based textile electrodes and silver/silver-chloride gel electrodes. The comparison methods serve to complement visual observations of the ECG signal acquired, as possible quantitative means to differentiate electrode materials and their performance. From the results obtained, signal quality, and heart rate (HR) detection were found to improve with increased skin contact, and textile structures with lower stretch and surface resistance, especially under dynamic/movement test conditions. It was found that the performance of the textile electrode materials compared exceeded ECG signal quality thresholds previously established for acceptable signal quality, specifically for the kurtosis (K &gt; 5), and Pearson correlation coefficients (r ≥ 0.66) taken from average ECG waveforms calculated.


2014 ◽  
Vol 53 (04) ◽  
pp. 308-313 ◽  
Author(s):  
J. M. Kortelainen ◽  
J. Pärkkä ◽  
M. Tenhunen ◽  
S. L. Himanen ◽  
A. M. Bianchi ◽  
...  

SummaryIntroduction: This article is part of the Focus Theme of Methods of Information in Medicine on “Biosignal Interpretation: Advanced Methods for Studying Cardiovascular and Respiratory Systems”.Objectives: The aim of this study is to assess the reliability of the estimated Nocturnal Heart Rate (HR), recorded through a bed sensor, compared with the one obtained from standard electrocardiography (ECG).Methods: Twenty-eight sleep deprived patients were recorded for one night each through matrix of piezoelectric sensors, integrated into the mattress, through polysomnography (PSG) simultaneously. The two recording methods have been compared in terms of signal quality and differences in heart beat detection.Results: On average, coverage of 92.7% of the total sleep time was obtained for the bed sensor, testifying the good quality of the recordings. The average beat-to-beat error of the inter-beat intervals was 1.06%. These results suggest a good overall signal quality, however, considering fast heart rates (HR > 100 bpm), performances were worse: in fact, the sensitivity in the heart beat detection was 28.4% while the false positive rate was 3.8% which means that a large amount of fast beats were not detected.Conclusions: The accuracy of the measurements made using the bed sensor has less than 10% of failure rate especially in periods with HR lower than 70 bpm. For fast heart beats the uncertainty increases. This can be explained by the change in morphology of the bed sensor signal in correspondence of a higher HR.


2018 ◽  
Author(s):  
Onur Dur ◽  
Colleen Rhoades ◽  
Sally Man Suen Ng ◽  
Ragwa Elsayed ◽  
Reinier van Mourik ◽  
...  

BACKGROUND Wearable and connected health devices along with the recent advances in mobile and cloud computing provide a continuous, convenient-to-patient and scalable way to collect personal health data remotely. The Wavelet Health Platform and the Wavelet Wristband have been developed to capture multiple physiological signals and to derive biometrics from these signals including resting heart rate, heart rate variability, and respiration rate. OBJECTIVE This study aims to evaluate the accuracy of the biometrics estimates and signal quality of the wristband. METHODS Measurements collected from 35 subjects using the Wavelet Wristband were compared with simultaneously recorded electrocardiogram and spirometry measurements. RESULTS The heart rate, heart rate variability (SDNN) and respiration rate estimates matched within 0.6 ± 0.9 bpm, 7 ± 10 ms and 1 ± 1 brpm mean absolute deviation of the reference measurements, respectively. The quality of the raw plethysmography signal collected by the wristband, as determined by the harmonic-to-noise ratio, was comparable to that obtained from measurements from a finger-clip plethysmography device. CONCLUSIONS The accuracy of the biometrics estimates and high signal quality indicate that the Wristband PPG device is suitable for performing pulse wave analysis and measuring vital signs.


2018 ◽  
Vol 1 (80) ◽  
Author(s):  
Audrius Gocentas ◽  
Anatoli Landõr ◽  
Aleksandras Kriščiūnas

Research background and hypothesis. Replete schedule of competitions and intense training are features of contemporary team sports. Athletes, especially the most involved ones, may not have enough time to recover. As a consequence, aggregated fatigue can manifest in some undesirable form and affect athlete’s performance and health.Research aim. The aim of this study was to evaluate the changes in heart rate recovery (HRR) and investigate possible relations with sport-specifi c measures of effi cacy in professional basketball players during competition season.Research methods. Eight male high-level basketball players (mean ± SD, body mass, 97.3 ± 11.33 kg; height 2.02 ± 0.067 m, and age 23 ± 3.12 years) were investigated. The same basketball specifi c exercise was replicated several times from September till April during the practice sessions in order to assess the personal trends of HRR. Heart rate monitoring was performed using POLAR TEAM SYSTEM. Investigated athletes were ranked retrospectively according to the total amount of minutes played and the coeffi cients of effi cacy. Research results. There were signifi cant differences in the trends of HRR between the investigated players. The most effective players showed decreasing trends of HRR in all cases of ranking.Discussion and conclusions. Research fi ndings have shown that the quality of heart rate recovery differs between basketball players of the same team and could be associated with sport-specifi c effi cacy and competition playing time.Keywords: adaptation, autonomic control, monitoring training.


Author(s):  
Stefanie Rüdiger ◽  
Tim Stuckenschneider ◽  
Vera Abeln ◽  
Christopher D. Askew ◽  
Petra Wollseiffen ◽  
...  

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