Engineering materials, Journal Year: 2025, Volume and Issue: unknown, P. 169 - 188
Published: Jan. 1, 2025
Language: Английский
EJC Paediatric Oncology, Journal Year: 2025, Volume and Issue: unknown, P. 100220 - 100220
Published: Feb. 1, 2025
Language: Английский
Citations
0
Biosensors, Journal Year: 2025, Volume and Issue: 15(4), P. 208 - 208
Published: March 24, 2025
The rate of oxygen consumption, which is measured as the volume consumed per mass minute (VO2) mL/kg/min, a critical metric for evaluating cardiovascular health, metabolic status, and respiratory function. Specifically, VO2 powerful prognostic predictor survival in patients with heart failure (HF) because it provides an indirect assessment patient’s ability to increase cardiac output (CO). In addition, measurements, particularly max, are significant they provide reliable indicator your fitness aerobic endurance. However, traditional requires bulky, breath-by-breath gas analysis systems, limiting frequent continuous monitoring specialized settings. This study presents novel wrist-worn multiwavelength photoplethysmography (PPG) device machine learning algorithm designed estimate continuously. Unlike conventional wearables that rely on static formulas max estimation, our leverages data from PPG wearable uses Beer–Lambert Law inputs five wavelengths (670 nm, 770 810 850 950 nm), incorporating isosbestic point at nm differentiate oxy- deoxy-hemoglobin. A validation was conducted eight subjects using modified Bruce protocol, comparing PPG-based estimates gold-standard Parvo Medics system. results demonstrated mean absolute error 1.66 mL/kg/min R2 0.94. By providing precise, individualized direct tissue oxygenation data, this solution offers clinical practical advantages over methods, making accurate readily available beyond environments.
Language: Английский
Citations
0
Journal of Science Advanced Materials and Devices, Journal Year: 2025, Volume and Issue: unknown, P. 100889 - 100889
Published: April 1, 2025
Language: Английский
Citations
0
Published: April 24, 2025
Language: Английский
Citations
0
Advances in medical technologies and clinical practice book series, Journal Year: 2023, Volume and Issue: unknown, P. 24 - 92
Published: Nov. 10, 2023
In recent years, the concept of metaverse has garnered substantial attention as an emerging digital realm that combines virtual reality, augmented and various interactive technologies to create immersive interconnected spaces. As traditional fitness routines sports activities transform due technological advancements, gyms have emerged innovative solutions engage individuals in physical within metaverse. Dive into dynamic with this chapter on sports. The metaverse's business models, user experience design, scaling strategies are explored, its applications healthcare, therapy, training. curtain falls, authors delve fan engagement, community building, future trends. landscape awaits your exploration these pages. Join researchers navigating boundless possibilities sports, unraveling their impact society, industry, beyond.
Language: Английский
Citations
10
Life, Journal Year: 2024, Volume and Issue: 14(9), P. 1105 - 1105
Published: Sept. 2, 2024
This study evaluated the relationship of non-invasive arterial stiffness parameters with an individual 10-year risk fatal and non-fatal atherosclerotic cardiovascular disease (ASCVD) events in cohort post-coronavirus 2019 (COVID-19). The group included 203 convalescents aged 60.0 (55.0–63.0) 115 (56.7%) women. ASCVD was assessed as low to moderate very high based on medical history (for 62 participants pre-existing ASCVD/diabetes/chronic kidney entire cohort) or calculated percentages using Systemic Coronary Risk Evaluation 2 (SCORE2) algorithm age, sex, smoking status, systolic blood pressure (BP), non-high-density lipoprotein cholesterol 141 healthy participants). index (SI) reflection (RI) measured by photoplethysmography, well pulse (PP), difference between diastolic BP, were markers stiffness. Stiffness increased significantly increase cohort. In 30 (14.8%) patients low- moderate-risk group, median SI 8.07 m/s (7.10–8.73), RI 51.40% (39.40–65.60), PP 45.50 mmHg (40.00–57.00); 111 (54.7%) high-risk 8.70 (7.40–10.03), 57.20% (43.65–68.40), 54.00 (46.00–60.75); (30.5%) very-high-risk 9.27 (7.57–10.44), 59.00% (50.40–72.40), 60.00 (51.00–67.00). participants, ≤ 9.0 (sensitivity 92.31%, area under curve [AUC] 0.686, p < 0.001) receiver operating characteristics most sensitive variable for discriminating risk, > 56.0 74.36%, AUC 0.736, used risk. multivariate logistic regression, younger female 50 mmHg, m/s, triglycerides 150 mg/dL had best SCORE2 turn, older currently smoking, 68.6%, BP ≥ 90 related conclusion, is post-COVID-19 can be helpful a single marker everyday practice. Cut-off points determined may help make decisions about implementing lifestyle changes pharmacological treatment factors
Language: Английский
Citations
3
Current Problems in Cardiology, Journal Year: 2025, Volume and Issue: unknown, P. 103000 - 103000
Published: Feb. 1, 2025
Language: Английский
Citations
0
Psychophysiology, Journal Year: 2025, Volume and Issue: 62(2)
Published: Feb. 1, 2025
ABSTRACT Heart rate (HR) and heart variability (HRV) are two key measures with significant relevance in psychophysiological studies, their measurement has become more convenient due to advances wearable technology. However, photoplethysmography (PPG)‐based wearables pose critical validity concerns. In this study, we validated four PPG wearables: three consumer‐grade devices (Kyto2935, Schone Rhythm 24, HeartMath Inner Balance Bluetooth) one research‐grade device (Empatica EmbracePlus, successor the widely‐used but discontinued Empatica E4). All were worn simultaneously by 40 healthy participants who underwent conditions commonly used laboratory research (seated rest, arithmetic task, recovery, slow‐paced breathing, a neuropsychological posture manipulation standing up) encountered ambulatory‐like settings (slow walking stationary biking), compared against criterion electrocardiography device, Vrije Universiteit Ambulatory Monitoring System (VU‐AMS). We determined signal quality, linear strength through regression analysis, bias Bland–Altman error mean arctangent absolute percentage for each condition device. found that did not outperform conditions. It also showed low agreement ECG general, captured HR accurately than HRV. Finally, deviated from baseline involved slight high movement, negatively impacted between criterion. conclude devices, even those advertised designed purposes, may concerns HRV other similar resting states.
Language: Английский
Citations
0
Biosensors, Journal Year: 2025, Volume and Issue: 15(2), P. 117 - 117
Published: Feb. 17, 2025
This paper explores the progressive era of sleep monitoring, focusing on wearable and remote devices contributing to advances in concept home polysomnography. We begin by exploring basic physiology sleep, establishing a theoretical basis for understanding stages associated changes physiological variables. The review then moves an analysis specific cutting-edge technologies, with emphasis their practical applications, user comfort, accuracy. Attention is also given ability these predict neurological disorders, particularly Alzheimer's Parkinson's disease. highlights integration hardware innovations, targeted parameters, partially advanced algorithms, illustrating how elements converge provide reliable health information. By bridging gap between clinical diagnosis real-world applicability, this aims elucidate role modern monitoring tools improving personalised healthcare proactive disease management.
Language: Английский
Citations
0
Sensors, Journal Year: 2025, Volume and Issue: 25(6), P. 1771 - 1771
Published: March 12, 2025
The home is an ideal setting for long-term sleep monitoring. This review explores a range of home-based monitoring technologies, including smartphone apps, smartwatches, and smart mattresses, to assess their accuracy, usability, limitations, how well they integrate with existing healthcare systems. evaluates 21 16 nine mattresses through systematic data collection from academic literature, manufacturer specifications, independent studies. Devices were assessed based on sleep-tracking capabilities, physiological collection, movement detection, environmental sensing, AI-driven analytics, integration potential. Wearables provide the best balance affordability, making them most suitable general users athletes. Smartphone apps are cost-effective but offer lower more appropriate casual tracking rather than clinical applications. Smart while providing passive comfortable tracking, costlier have limited validation. offers essential insights selecting technology. Future developments should focus multi-sensor fusion, AI transparency, energy efficiency, improved validation enhance reliability applicability. As these technologies evolve, has potential bridge gap between consumer-grade diagnostics, personalized health accessible actionable.
Language: Английский
Citations
0