Detection of the effect of exercise on APG signals

Joseph, J. W.; Jonkman, Mirjam; Azam, Sami; Boer, Friso De; Hill, Damien; Shanmugam, Bharanidharan

doi:10.1109/iccci.2018.8441251

Cited by 2 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another study by Wong and Zhang (2004) found that 4 min of treadmill exercise reduced pulse transit time (PTT)-foot but no change was observed for PTT-peak. In another study, Joseph et al (2018) found that the c-d-e component of the second derivative became smoother after acute aerobic exercise. So far, limited studies have been conducted to investigate the effects of chronic aerobic exercise on PPG.…”

Section: Introductionmentioning

confidence: 91%

The effects of pedometer-based exercise on central and peripheral vascular functions among young sedentary men with CVD risk factors

et al. 2023

View full text Add to dashboard Cite

Introduction: Cardiovascular diseases (CVDs) remain the main cause of morbidity and mortality in Malaysia and worldwide. This is mainly due to an increase in the prevalence of CVD risk factors such as hypertension, dyslipidemia, smoking, and obesity. Increased physical activity has been recommended as a modality to improve CVD risk. Pulse wave velocity (PWVCF), augmentation index (AI), and finger photoplethysmography fitness (PPGF) index have been introduced to assess the vascular functions related to CVD risk factors. The effects of long-term exercise on PPGF index are not established.Materials and Methods: A total of 70 young men who were sedentary with two or more cardiovascular risk factors were recruited. Subjects were randomly assigned to a control group (CG) (n = 34; no change in walking) and pedometer group (PG) (n = 36; minimum target: 8,000 steps/day). PWVCF and AI were measured via the Vicorder system. The PPGF index was obtained via the finger photoplethysmography method. All parameters were measured at baseline and after 6 and 12 weeks.Results: After intervention, the PG had significant increased step count from 4,996 ± 805 to 10,128 ± 511 steps/day (p < 0.001). The PG showed significant improvement in anthropometric variables, lipid, PWVCF, AI, and PPGF index (time and group effect p < 0.001). No changes were observed in CG.Conclusion: This signifies that pedometer-based walking program is beneficial in improving markers of vascular functions among young working sedentary men with CVD risk factors. Pedometer-based exercise should be encouraged to improve cardiovascular health.

show abstract

Section: Introductionmentioning

confidence: 91%

The effects of pedometer-based exercise on central and peripheral vascular functions among young sedentary men with CVD risk factors

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Królak et al studied the reliability of PRV extraction from prerecorded PPG data at rest and achieved a high approximation to ECG-derived HRV indicators [12]. PRV indicators from PPG and APG signals during rest and exercise have been extensively explored in controlled scenarios, with time-domain PRV indicators being accurately detectable at rest, while their accuracy during exercise varies across different studies [13][14][15][16][17]. Although comparison algorithms have been proposed to enhance the accuracy of time-domain PRV indicators, they have not been tested in real-time PPG signal extraction [10].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Evaluation of Time-Domain Pulse Rate Variability Parameters in Different Postures and Breathing Patterns Using Wireless Photoplethysmography Sensor: Towards Remote Healthcare in Low-Resource Communities

Pineda-Alpizar

Arriola-Valverde

Vado-Chacón

et al. 2023

Sensors

View full text Add to dashboard Cite

Photoplethysmography (PPG) signals have been widely used in evaluating cardiovascular biomarkers, however, there is a lack of in-depth understanding of the remote usage of this technology and its viability for underdeveloped countries. This study aims to quantitatively evaluate the performance of a low-cost wireless PPG device in detecting ultra-short-term time-domain pulse rate variability (PRV) parameters in different postures and breathing patterns. A total of 30 healthy subjects were recruited. ECG and PPG signals were simultaneously recorded in 3 min using miniaturized wearable sensors. Four heart rate variability (HRV) and PRV parameters were extracted from ECG and PPG signals, respectively, and compared using analysis of variance (ANOVA) or Scheirer–Ray–Hare test with post hoc analysis. In addition, the data loss was calculated as the percentage of missing sampling points. Posture did not present statistical differences across the PRV parameters but a statistical difference between indicators was found. Strong variation was found for the RMSSD indicator in the standing posture. The sitting position in both breathing patterns demonstrated the lowest data loss (1.0 ± 0.6 and 1.0 ± 0.7) and the lowest percentage of different factors for all indicators. The usage of commercial PPG and BLE devices can allow the reliable extraction of the PPG signal and PRV indicators in real time.

show abstract

Detection of the effect of exercise on APG signals

Cited by 2 publications

References 16 publications

The effects of pedometer-based exercise on central and peripheral vascular functions among young sedentary men with CVD risk factors

The effects of pedometer-based exercise on central and peripheral vascular functions among young sedentary men with CVD risk factors

Real-Time Evaluation of Time-Domain Pulse Rate Variability Parameters in Different Postures and Breathing Patterns Using Wireless Photoplethysmography Sensor: Towards Remote Healthcare in Low-Resource Communities

Contact Info

Product

Resources

About