e4 physiological signal measurement (Empatica Inc)
90
Structured Review
Empatica Inc
e4 physiological signal measurement
E4 Physiological Signal Measurement, supplied by Empatica Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/e4+physiological/hr+physiological+data+empatica+e4/pmc11684349-163-34-34
Average 90 stars, based on 1 article reviews
E4 Physiological Signal Measurement, supplied by Empatica Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/e4+physiological/hr+physiological+data+empatica+e4/pmc11684349-163-34-34
Average 90 stars, based on 1 article reviews
e4 physiological signal measurement - by Bioz Stars,
2026-11
90/100 stars
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other:Article Title: Balancing Between Privacy and Utility for Affect Recognition Using Multitask Learning in Differential Privacy–Added Federated Learning Settings: Quantitative Study Article Snippet: In the WESAD dataset, each participant recorded physiological signals such as blood volume pulse, electrocardiogram (ECG), EDA, electromyogram, respiration, body temperature, and 3-axis acceleration measured from the chest and wrist using Plux RespiBAN and Article Title: A PPG Signal Dataset Collected in Semi-Naturalistic Settings Using Galaxy Watch Article Snippet: To address this gap, this study presents GalaxyPPG, a dataset collected from 24 participants that includes wrist-worn PPG signals from a Galaxy Watch 5 and an Article Title: EEG and Physiological Signals Dataset from Participants during Traditional and Partially Immersive Learning Experiences in Humanities Article Snippet: • Data format: – Physiological data from OpenBCI and Article Title: MSPTDfast: An Efficient Photoplethysmography Beat Detection Algorithm Article Snippet: The data consisted of wrist PPG signals acquired using an Article Title: Integrating Biofeedback and Artificial Intelligence into eXtended Reality Training Scenarios: A Systematic Literature Review Article Snippet: Also, Wilson et al. (2021) observed that many applications can get “good-enough” results using only the sensors from the Derivative Assay:Article Title: Fusing Wearable Biosensors with Artificial Intelligence for Mental Health Monitoring: A Systematic Review Article Snippet: (Rykov et al., 2021) [ ] Predicting workforce depression , 267 , ❖ Fitbit Charge 2 Steps, HR, sleep metrics, circadian rhythm metrics (e.g., inter-daily stability and autocorrelation) , ❖ Binary classification ● Dropouts meet Multiple Additive Regression Trees ● 80% accuracy, 82% sensitivity, and 78% specificity , IW , ● Labels: depressive symptom severity assessed using the 9-item PHQ-9 ● 2 labels/participant (PHQ-9 scores at baseline and after 14 days) ● Monitoring: 14 days , ● Workforce-specific cohort limits generalizability ● Findings apply mainly to balanced demographic subgroups; broader testing needed ● Self-reported depression assessments may introduce response bias. .. (Sato et al., 2023) [ ] Enhanced MDD screening using SQIs to filter motion artifacts , 69 , Activity Assay:Article Title: Fusing Wearable Biosensors with Artificial Intelligence for Mental Health Monitoring: A Systematic Review Article Snippet: (Rykov et al., 2021) [ ] Predicting workforce depression , 267 , ❖ Fitbit Charge 2 Steps, HR, sleep metrics, circadian rhythm metrics (e.g., inter-daily stability and autocorrelation) , ❖ Binary classification ● Dropouts meet Multiple Additive Regression Trees ● 80% accuracy, 82% sensitivity, and 78% specificity , IW , ● Labels: depressive symptom severity assessed using the 9-item PHQ-9 ● 2 labels/participant (PHQ-9 scores at baseline and after 14 days) ● Monitoring: 14 days , ● Workforce-specific cohort limits generalizability ● Findings apply mainly to balanced demographic subgroups; broader testing needed ● Self-reported depression assessments may introduce response bias. .. (Sato et al., 2023) [ ] Enhanced MDD screening using SQIs to filter motion artifacts , 69 , |
