Duarte DiasInstitute for Systems and Computer Engineering, Technology and Science (INESC TEC) | INESC TEC
Duarte Dias
Master of Engineering
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32
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Publications (32)
In recent years, safer and more reliable biometric methods have been developed. Apart from the need for enhanced security, the media and entertainment sectors have also been applying biometrics in the emerging market of user-adaptable objects/systems to make these systems more user-friendly. However, the complexity of some state-of-the-art biometri...
Wearable Health Devices (WHDs) are increasingly helping people to better monitor their health status both at an activity/fitness level for self-health tracking and at a medical level providing more data to clinicians with a potential for earlier diagnostic and guidance of treatment. The technology revolution in the miniaturization of electronic dev...
Background
Air Traffic Control (ATC) is a complex and demanding process, exposing Air Traffic Controllers (ATCs) to high stress. Recently, efforts have been made in ATC to maintain safety and efficiency in the face of increasing air traffic demands. Computer simulations have been a useful tool for ATC training, improving ATCs skills and consequentl...
The advantages of Virtual Reality (VR) over traditional training, together with the development of VR technology, have contributed to an increase in the body of literature on training professionals with VR. However, there is a gap in the literature concerning the comparison of training in a Virtual Environment (VE) with the same training in a Real...
Objective
Heart rate variability (HRV), an index of the autonomic cardiac activity, is decreased in patients with epilepsy, and a low HRV is associated with a higher risk of sudden death. Generalized tonic-clonic seizures are one of the most consistent risk factors for SUDEP, but the influence (and relative risk) of each type of seizure on cardiac...
Occupational stress is a complex process affecting health and performance. Air Traffic Control is a complex and demanding profession. The current study demonstrates the concept of using a biomonitoring wearable platform (BWP), that combines self-report measures with biomarkers, to track stress among Air Traffic Controllers. A wearable ECG device wa...
Objective
Patients with epilepsy, mainly drug-resistant, have reduced heart rate variability (HRV), linked to an increased risk of sudden death in various other diseases. In this context, it could play a role in SUDEP. Generalized convulsive seizures (GCS) are one of the most consensual risk factors for SUDEP. Our objective was to assess the influe...
Background
Seizures commonly affect the heart rate and its variability. The increased interest in this area of research is related to the possible connection with sudden unexpected death in epilepsy (SUDEP). Generalized tonic-clonic seizures (GTCS) are reported as the most consistent risk factor for SUDEP. However, the general risk of seizures (and...
Background
Heart Rate Variability (HRV) is an increasing area of interest in patients with epilepsy. The effects of epilepsy on the autonomic control of the heart are not completely understood and that autonomic dysfunction has been implicated in some cases of Sudden Unexpected Death in Epilepsy (SUDEP).
Objective
To study the influence of general...
Background
Stress at work has been broadly acknowledged as a worldwide problem and has been the focus of concern for many researchers. Firefighting, in particular, is frequently reported as a highly stressful occupation. In order to investigate firefighters’ occupational health in terms of stress events, perceptions, symptoms, and physiological rea...
Background
Stress is a complex process with an impact on health and performance. The use of wearable sensor-based monitoring systems offers interesting opportunities for advanced health care solutions for stress analysis. Considering the stressful nature of firefighting and its importance for the community’s safety, this study was conducted for fir...
Occupational stress has been broadly acknowledged as a global challenge and has been the focus of concern for many researchers. Stress affects workers health and performance. Hence, the current study aimed to: a) assess psychophysiological stress among different occupational groups and b) understand if there are differences between these groups usi...
Firefighting is a hazardous profession commonly exposed to high stress that can interfere with firefighter's health and performance. Nevertheless, on-duty stress levels quantitative evaluations are very rare in the literature. In order to investigate firefighters' occupational health in terms of stress perceptions, symptoms, and quantified physiolo...
Stress can impact multiple psychological and physiological human domains. In order to better understand the effect of stress on cognitive performance, and whether this effect is related to an autonomic response to stress, the Trier Social Stress Test (TSST) was used as a testing platform along with a 2-Choice Reaction Time Task. When considering th...
The evolution of wearable technology has provided an expansion in physiological monitoring allowing a greater comfort and proximity to the user in the medical field, personal monitorization and sports performance. Human actigraphy is a non-invasive method of monitoring various activities. This project presents the development of an automatic system...
Scheme explaining how the training and test sets were obtained.
N represents the number of combinations between the training and test sets (in this case 66).
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ECG waveform captured by the first version of the prototype after being filtered.
Location of fiducial points provided by the morphology detection method of the algorithm embedded in the microcontroller at 125 Hz.
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Description of training and test dataset generation procedure of the algorithm.
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Beat-ID embedded implementation in a $3 16-bit microcontroller—8KB RAM, 64KB program memory.
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Procedure sequence scheme regarding demonstration provided in video S1 Video, including Realterm window showing several identification labels sent via Bluetooth from the first version of the prototype.
(12EE—no identification; 12AA—subject A identified; 12BB—subject B identified).
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Algorithm training performance obtained with the five-fold cross-validation method.
(a) Mean accuracy training across the 66 training runs generated and corresponding standard error bars. (b) Variation (in terms of standard error values) of the averaged training accuracy across the 66 training runs generated. The training accuracy does not vary con...
Beat-ID component diagram regarding both hardware modules developed.
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Workflow diagram illustrating the ECG acquisition and analysis stages embedded in both prototypes.
ECG samples are continuously being acquired. When the maximum number of samples is reached (N = 350-370), the correspondent ECG segment is immediately analyzed while a new segment is being acquired. The embedded algorithm uses SVM classifier parameter...
Average number of heartbeats across all 66 combinations between the training and test sets for the duration of each training and testing run and for each class.
(PDF)
Beat-to-beat performance evaluation.
Scheme illustrating the beat-to-beat testing procedure for an example of a test set composed by five heartbeats. Considering each subject, for each one of the 66 combinations between the test and training sets for each training duration: t represents the data blocks chosen to be part of the test set; r represent...
Size evolution of ECG acquisition hardware modules developed, in comparison with a one Euro coin.
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