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Trends in Workplace Wearable Technologies and Connected‐Worker Solutions for Next‐Generation Occupational Safety, Health, and Productivity
2021
Advanced Intelligent Systems
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Predictive analytics provide contextual information about occupational safety risks, resource allocation, equipment failure, and predictive maintenance. ...
Here, the recent trends in commercial workplace technologies to monitor and manage occupational risks, injuries, accidents, and diseases are reviewed. ...
[117] The IMEC chip, powered by an ARM Cortex M4 processor, has biomedical sensor readouts for measuring the heart rate using ECG, breathing rate using bioimpedance, and blood oxygen saturation through ...
doi:10.1002/aisy.202100099
fatcat:ptbiiiaip5dfpbiorbhhpzesx4
Track C
2014
Biomedical Engineering
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The scheme is capable to cope with inappropriately initialized parameter values. In experiments it is validated for two scenarios simulating inappropriate parameter values. ...
As the determination of suitable and individualized parameter values for myoelectric-controlled human-machine interfaces is time-consuming, this work presents an incremental parameter adaptation scheme ...
[5] presents very interesting optic 24/7 in-ear Heart Rate monitoring system (IN-MONIT). It allows continuous monitoring of heart and respiration function. ...
doi:10.1515/bmt-2014-5002
pmid:25385887
fatcat:duiajlu3i5gdffz5o4extkvyjm
Brain Age Prediction/Classification through Recurrent Deep Learning with Electroencephalogram Recordings of Seizure Subjects
2022
Sensors
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The achieved results demonstrate that the use of raw patient-sourced brain wave information leads to higher performance metrics than methods utilizing other brain wave-preprocessing methods and outperforms ...
Utilizing recordings of patients' brain waves obtained from the Temple University abnormal electroencephalogram (EEG) corpus, deep leaning long short-term memory neural networks are utilized to classify and predict ...
EKG-related recordings present in the dataset are also removed as they are used to monitor heart-related data, which is not the focus of this test. ...
doi:10.3390/s22218112
pmid:36365809
pmcid:PMC9655329
fatcat:p7tocqueajdzvchak6qhxwqyye
Multimodal System to Detect Driver Fatigue Using EEG, Gyroscope and Image Processing
2020
IEEE Access
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In order to overcome the above limitation we propose a neural network based hybrid multimodal system that detects driver fatigue using electroencephalography(EEG) data, gyroscope data and image processing ...
We used an OpenBCI Cyton board which is a 32 Bit 8 channel device that is capable of measuring and recording electrical activity produced by the EEG, EMG and EKG. ...
Multimodal fatigue measures like surface electromyography(sEMG), EEG, seat interface pressure, blood pressure, heart rate and oxygen saturation level were used to evaluate driver fatigue using different ...
doi:10.1109/access.2020.3009226
fatcat:ucxkxekemzckndov2ujer2tvwi
Multi-medial stress assessment
2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)
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The underlying system is based on the analysis of facial expressions, voice analysis and the analysis of physiological signals such as heart rate and blood pressure. ...
In this paper the stress assessment is used to monitor vigilance levels of car drivers with a focus on voice analysis. Keywords: Multimodal interaction, stress assessment, micro sleeps. ...
The objective of the project is to discuss systems capable of monitoring vigilance levels, predicting the probability of a micro-sleep emergence and warning, as well as training the operators to become ...
doi:10.1109/icsmc.2004.1400933
dblp:conf/smc/RothkrantzVD04
fatcat:s6dltmbugjd7zmdir74dh2pvvu
Track TOC: Table of Contents // Inhaltsverzeichnis
2015
Biomedical Engineering
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rate variability in KORA S4 healthy subjects Heart rate monitoring in ultra-high-field MRI using frequency information obtained from video signals of the human skin compared to electrocardiography and ...
application Detection and Identification of Human Metabolites using Ion Mobility Spectrometry Monitoring of Hemodialysis Shunt Reflow Integrity Monitoring of Infusion Systems Continuous pulse rate monitoring ...
doi:10.1515/bmt-2015-toc
fatcat:o2rfbpr5svd25hdkvawtva4dky
Efficient Eye Blink Detection Method for the Disabled
2021
Zenodo
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Some revamp Augmentative and Alternative Communication (AAC) devices have been developed that uses signals from the patient and changes them into data that can be imparted. ...
There are a couple of clinical issues that can incite an individual getting weakened or having Motor Speech issues that hinder Speech or voice creation. ...
example rates. [6] However different sorts of biometric sensor information may at a later stage incorporate heart rate estimations or a one-dimensional estimation of skin conductance at a low example ...
doi:10.5281/zenodo.4420099
fatcat:5hxt2r6ib5c45m2upw22ivt3ni
Effects of Sleep Schedules on Commercial Motor Vehicle Driver Performance
2000
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Chapter 4 presents the methodology used in the field study, and the detailed results of that study. Chapter 5 provides an overview and synthesis of results, conclusions, and recommendations. ...
Findings from the latter (SDR) study were used to optimize the parameters of the Walter Reed Sleep Performance Model (SPM}-a mathematical algorithm to predict performance based on prior sleep and circadian ...
Heart Rate Heart rate (HR) in beats per minute (BPM) was analyzed using a three-way mixed Analysis of Variance (ANOVA) with sleep group (3, 5, 7, Results of these analyses are summarized in Appendix ...
doi:10.21949/1503015
fatcat:eyruvhnwpnhqnj3n755ltqhohy
Effects of Sleep Schedules on Commercial Motor Vehicle Driver Performance
2000
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Background: A Critical Review of Sleep/Alertness Models-Input Factors, Prediction Output, and Limitations 3-1 B. The Walter Reed Sleep Performance Model (SPM) 3-5 C. ...
Heart Rate Heart rate (HR) in beats per minute (BPM) was analyzed using a three-way mixed Analysis of Variance (ANOVA) with sleep group (3, 5, 7, or 9 hours/night), day (1 1 days; Bi-R3), and time of day ...
At the beginning of the study, electrodes are pasted on your scalp, face, and chest for recording brain waves (EEG), eye movements (EOG), muscle tension (EMG), and heart rate (EKG). ...
doi:10.21949/1502833
fatcat:u5htdfwrirbxpgag6u5mjym2h4
A Driver Fatigue Monitoring and Haptic Jacket-based Warning System
2012
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With the onset of fatigue, body temperature, heart rate, blood pressure, respiration rate and adrenalin production are lowered. ...
applied to predict drowsiness. ...
doi:10.20381/ruor-5675
fatcat:g2a6fiakh5gfzou2bfw3pvklli
Low Power Context Aware Hierarchical System Design
[article]
2021
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In a PSG session, we collected a variety of other physiological data on a subject such as EEG, EKG, respiration rate, blood oxygen level, and EMG for muscle groups on the leg. ...
Since perpetuu is an online system, it uses a heuristic to make energy predictions for the next hour. ...
doi:10.13016/m2ftb2-fkxe
fatcat:37ww2xerpzbmfaflib7ymihpq4
Interstate Commerce Commision, Report of the Accident Investigation Occuring on the CONSOLIDATED RAIL CORPORATION, THOMPSONVILLE, PA
1988
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The conductor was not given an EKG or pulmonary function test A toxicological screen for illicit drugs was negative An audiometer test indicated a hearing deficiency ranging from 15 db at 500 Hz to 80 ...
The dispatcher also has a "local" CRT monitor at his desk, which he can use to call up any of the individual interlocking displays At the time of the accident, the CP Port and CP Thompson interlockings ...
, possession or sale while on duty of a drug, narcotic or other controlled substance that affects alertness, coordination, reaction, response or safety is prohibited An employee may be required to take ...
doi:10.21949/1510268
fatcat:7dbmx22t4nayxkr4ckdsjx3vwq