Wearable electroencephalography (EEG) and electrocardiography (ECG) devices may offer a non-invasive, user-friendly, and cost-effective approach for assessing well-being (WB) in real-world settings. However, challenges remain in dealing with signal artifacts (such as environmental noise and movements) and identifying robust biomarkers. We evaluated the feasibility of using portable hardware to identify potential EEG and heart-rate variability (HRV) correlates of WB. We collected simultaneous ultrashort (2-min) EEG and ECG data from 60 individuals in real-world settings using a wrist ECG electrode connected to a 4-channel wearable EEG headset. These data were processed, assessed for signal quality, and analyzed using the open-source EEGLAB BrainBeats plugin to extract several theory-driven metrics as potential correlates of WB. Namely, the individual alpha frequency (IAF), frontal and posterior alpha asymmetry, and signal entropy for EEG. SDNN, the low/high frequency (LF/HF) ratio, the Poincaré SD1/SD2 ratio, and signal entropy for HRV. We assessed potential associations between these features and the main WB dimensions (hedonic, eudaimonic, global, physical, and social) implementing a pairwise correlation approach, robust Spearman's correlations, and corrections for multiple comparisons. Only eight files showed poor signal quality and were excluded from the analysis. Eudaimonic (psychological) WB was positively correlated with SDNN and the LF/HF ratio. EEG posterior alpha asymmetry was positively correlated with Physical WB (i.e., sleep and pain levels). No relationships were found with the other metrics, or between EEG and HRV metrics. These physiological metrics enable a quick, objective assessment of well-being in real-world settings using scalable, user-friendly tools.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/bs.pbr.2024.04.004 | DOI Listing |
Cancer Med
February 2025
Department of Medical Oncology, IRCCS Ospedale San Raffaele, Milan, Italy.
Introduction: Pancreatic cancer arising in the context of BRCA predisposition may benefit from poly(ADP-ribose) polymerase inhibitors. We analyzed real-world data on the impact of olaparib on survival in metastatic pancreatic cancer patients harboring germline BRCA mutations in Italy, where olaparib is not reimbursed for this indication.
Methods: Clinico/pathological data of pancreatic cancer patients with documented BRCA1-2 germline pathogenic variants who had received first-line chemotherapy for metastatic disease were collected from 23 Italian oncology departments and the impact of olaparib exposure on overall survival (OS) was analyzed.
Nutrients
January 2025
Statistical Consulting Centre, National Institute for Applied Statistics Research Australia, School of Mathematics and Applied Statistics, University of Wollongong, Wollongong, NSW 2522, Australia.
: Obesity remains a global health challenge. Many commercial online weight loss programs are available, and they have advantages in terms of scalability and access. Few of these programs have been evaluated for effectiveness in a real-world context.
View Article and Find Full Text PDFNutrients
January 2025
Department of Biological, Geological and Environmental Sciences, University of Bologna, Via Selmi 3, 40126 Bologna, Italy.
Objective: The objective of this study was to evaluate the efficacy of a very-low-absorbable geraniol formulation, administered as a food supplement, in patients with irritable bowel syndrome (IBS) in a real-world setting in Italy.
Methods: This open-label study was conducted in Italy on patients diagnosed with IBS and treated for 4 weeks with 240 mg/day of Palmarosa essential oil, absorbed on 960 mg of ginger root powder to obtain a very-low-absorbable geraniol formulation. Baseline characteristics, including demographic and symptoms were recorded using the IBS Severity Scoring System (IBS-SSS).
Pharmaceuticals (Basel)
January 2025
Division of Endocrinology, Metabolism, and Rheumatology, Department of Internal Medicine, Asahikawa Medical University, Asahikawa 078-8510, Hokkaido, Japan.
Background/objectives: Metabolic dysfunction-associated steatotic liver disease (MASLD) is an important common comorbidity in subjects with type 2 diabetes, and liver fibrosis is a factor directly related to its prognosis. Glucagon-like peptide-1 receptor agonists are useful treatment options for MASLD; however, the efficacy of oral semaglutide in treating liver steatosis/fibrosis has not been fully elucidated.
Methods: A secondary analysis of a multicenter, retrospective, observational study investigating the efficacy and safety of oral semaglutide in Japanese subjects with type 2 diabetes in a real-world clinical setting (the Sapporo-Oral SEMA study) was conducted.
Sensors (Basel)
January 2025
Department of Electrical and Computer Engineering, Concordia University, Montreal, QC H3G 1M8, Canada.
Deep learning (DL)-based Human Activity Recognition (HAR) using wearable inertial measurement unit (IMU) sensors can revolutionize continuous health monitoring and early disease prediction. However, most DL HAR models are untested in their robustness to real-world variability, as they are trained on limited lab-controlled data. In this study, we isolated and analyzed the effects of the subject, device, position, and orientation variabilities on DL HAR models using the HARVAR and REALDISP datasets.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!