| 1. |
- Baboukani, Payam Shahsavari, et al.
(author)
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EEG Phase Synchrony Reflects SNR Levels During Continuous Speech-in-Noise Tasks
- 2021
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In: 2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC). - : IEEE. - 9781728111797 ; , s. 531-534
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Conference paper (peer-reviewed)abstract
- Comprehension of speech in noise is a challenge for hearing-impaired (HI) individuals. Electroencephalography (EEG) provides a tool to investigate the effect of different levels of signal-to-noise ratio (SNR) of the speech. Most studies with EEG have focused on spectral power in well-defined frequency bands such as alpha band. In this study, we investigate how local functional connectivity, i.e. functional connectivity within a localized region of the brain, is affected by two levels of SNR. Twenty-two HI participants performed a continuous speech in noise task at two different SNRs (+3 dB and +8 dB). The local connectivity within eight regions of interest was computed by using a multivariate phase synchrony measure on EEG data. The results showed that phase synchrony increased in the parietal and frontal area as a response to increasing SNR. We contend that local connectivity measures can be used to discriminate between speech-evoked EEG responses at different SNRs.
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| 2. |
- Euler, Luisa, et al.
(author)
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Textile Electrodes : Influence of Electrode Construction and Pressure on Stimulation Performance in Neuromuscular Electrical Stimulation (NMES)
- 2021
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In: Engineering in Medicine & Biology Society (EMBC), 2021 43rd Annual International Conference of the IEEE. - : IEEE. - 9781728111797 ; 2021, s. 1305-1308
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Conference paper (peer-reviewed)abstract
- The major reason for preventable hospital death isvenous thromboembolism (VTE). Non-pharmacologicaltreatment options include electrical stimulation or compressiontherapy to improve blood flow in the extremities. Textileelectrodes offer potential to replace bulky devices commonlyused in this field, thereby improving the user compliance. In thiswork, the performance of dry and wet knitted electrodes incombination with pressure application to the electrode wasevaluated in neuromuscular electrical stimulation (NMES). Amotor point stimulation on the calf was performed on ninehealthy subjects to induce a plantarflexion and the requiredstimulation intensity as well as the perceived pain were assessed.The performance of the different electrode constructions wascompared and the influence of the pressure application wasanalysed. The results show that wet textile electrodes (0.9 %saline solution) perform significantly better than dry electrodes.However, opportunities were found for improving theperformance of dry textile electrodes by using an uneven surfacetopography in combination with an intermediate to highpressure application to the electrode (> 20 mmHg), e.g. by usinga compression stocking. Moreover, the smaller of the two testedelectrode areas (16 cm2; 32 cm2) appears to be favourable interms of stimulation comfort and efficiency.
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| 3. |
- Klint, Elisabeth, et al.
(author)
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FluoRa - a System for Combined Fluorescence and Microcirculation Measurements in Brain Tumor Surgery
- 2021
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In: 2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC). - : IEEE. - 9781728111797 ; , s. 1512-1515
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Conference paper (peer-reviewed)abstract
- In brain tumor surgery it is difficult to distinguish the marginal zone with the naked eye. Fluorescence techniques can help identifying tumor tissue in the zone during resection and biopsy procedures. In this paper a novel system for combined real-time measurements of PpIX-fluorescence, microcirculation and tissue grey-whiteness is presented and experimentally evaluated. The system consists of a fluorescence hardware with a sensitive CCD spectrometer for PpIX peak detection, a laser Doppler system, optical probes, and a LabView software. System evaluation was done on static fluorescing material, human skin, and brain tumor tissue. The static material indicates reproducibility, the skin measurements exemplify simultaneous fluorescence and microcirculation measurement in real-time, and the tumor tissue showed PpIX peaks. These decreased over time, as expected, due to photo bleaching. In addition, the system was prepared for clinical use and thus laser- and electrical safety issues were considered. In summary, a system for multiparameter measurements during neurosurgery was successfully evaluated in an experimental environment. As a next step the system will be applied in clinical brain tumor biopsies and resections.
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| 4. |
- Rastegar, Solmaz, et al.
(author)
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Continuous Blood Pressure Estimation From Non-Invasive Measurements Using Support Vector Regression
- 2021
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In: 2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC). - : IEEE. - 9781728111797 ; , s. 1487-1490
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Conference paper (peer-reviewed)abstract
- Blood pressure (BP) is one of the most crucial vital signs of the human body that can be assessed as a critical risk factor for severe health conditions such as cardiovascular diseases (CVD) and hypertension. An accurate, continuous, and cuff-less BP monitoring technique could help clinicians improve the prevention, detection, and diagnosis of hypertension and manage related treatment plans. Notably, the complex and dynamic nature of the cardiovascular system necessitates that any BP monitoring system could benefit from an intelligent technology that can extract and analyze compelling BP features. In this study, a support vector regression (SVR) model was developed to estimate systolic blood pressure (SBP) and diastolic blood pressure (DBP) continuously. We selected a set of features commonly used in previous studies to train the proposed SVR model. A total of 120 patients with available ECG, PPG, DBP and SBP data were chosen from the Medical Information Mart for Intensive Care (MIMIC III) dataset to validate the proposed model. The results showed that the average root mean square error (RMSE) of 2.37 mmHg and 4.18 mmHg were achieved for SBP and DBP, respectively.
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| 5. |
- Tedesco, Salvatore, et al.
(author)
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Investigation of the analysis of wearable data for cancer-specific mortality prediction in older adults
- 2021
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In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. - : IEEE. - 9781728111797 ; , s. 1848-1851
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Conference paper (peer-reviewed)abstract
- Cancer is an aggressive disease which imparts a tremendous socio-economic burden on the international community. Early detection is an important aspect in improving survival rates for cancer sufferers; however, very few studies have investigated the possibility of predicting which people have the highest risk to develop this disease, even years before the traditional symptoms first occur. In this paper, a dataset from a longitudinal study which was collected among 2291 70-year olds in Sweden has been analyzed to investigate the possibility for predicting 2-7 year cancer-specific mortality. A tailored ensemble model has been developed to tackle this highly imbalanced dataset. The performance with different feature subsets has been investigated to evaluate the impact that heterogeneous data sources may have on the overall model. While a full-features model shows an Area Under the ROC Curve (AUC-ROC) of 0.882, a feature subset which only includes demographics, self-report health and lifestyle data, and wearable dataset collected in free-living environments presents similar performance (AUC-ROC: 0.857). This analysis confirms the importance of wearable technology for providing unbiased health markers and suggests its possible use in the accurate prediction of 2-7 year cancer-related mortality in older adults.
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