Low impedance electrodes improve detection of high frequency oscillations in the intracranial EEG

OBJECTIVE

Epileptic fast ripple oscillations (FR, 250-500 Hz) indicate epileptogenic tissue with high specificity. However, their low amplitude makes detection demanding against noise. Since thermal noise is reduced by low impedance electrodes (LoZ), we investigate here whether this noise reduction is relevant in the FR frequency range.

METHODS

We analyzed intracranial electrocorticography during neurosurgery of 10 patients where a low impedance electrode was compared to a standard electrode (HiZ) with equal surface area during stimulation of the somatosensory evoked potential, which evokes a robust response in the FR frequency range. To estimate the noise level, we computed the difference between sweep 2n and sweep 2n + 1 for all sweeps.

RESULTS

The power spectral density of the noise spectrum improved for the LoZ over all frequencies. In the FR range, the median noise level improved from HiZ (0.153 µV) to LoZ (0.089 µV). For evoked FR, the detection rate improved (91% for HiZ vs. 100% for LoZ).

CONCLUSIONS

Low impedance electrodes for intracranial EEG reduce noise in the FR frequency range and may thereby improve FR detection.

SIGNIFICANCE

Improving the measurement chain may enhance the diagnostic value of FR as biomarkers for epileptogenic tissue.

Acoustic environments of intensive care units during the COVID-19 pandemic

This study aims to investigate the typical noise levels and noise sources in an intensive care unit (ICU) during the COVID-19 pandemic. Acoustic experiments were conducted over 24 hrs in patient wards and at nurse stations in four Chinese hospitals. From the measurements, noise levels and sources were analysed in terms of the A-weighted equivalent sound pressure levels (L _Aeq) and A-weighted maximum Fast time-weighted sound pressure levels (L _AFmax) over three different time periods during the day (i.e. day, evening and night). Overall, noise levels (L _Aeq) for 24 hrs in all hospitals exceeded the World Health Organisation's (WHO) guide levels, varying from 51.1 to 60.3 dBA. The highest maximum noise level reached 104.2 dBA. The single-bedded wards (side rooms) were quieter than multi-bedded wards, and night time noise levels were quieter than daytime and evening across all hospitals. It was observed that the most dominant noise sources were talking/voices, door-closing, footsteps, and general activities (e.g. noise from cleaning equipment and cutlery sound). Footsteps became an unexpected dominant noise source during the pandemic because of the staff's disposable shoe covers which made footsteps noisier. Patient alarms and coughing varied significantly between patients. Talking/voices produced the highest maximum median values of the sound exposure level (SEL) and the maximum noise level at all sites. Noise levels in all the patient rooms were more than the WHO guidelines. The pandemic control guidelines had little impact on the noise levels in the ICUs.

Influence of noise level and seniority in the workplace on the SAL, ELI and percentage of hearing loss indices in the diagnosis and prevention of hearing loss in the working population

INTRODUCTION

This research relates the most important work-related factors affecting the development of hearing loss to the main methods used as medical assessment criteria in the diagnosis of occupational deafness. These criteria are the Speech Average Loss Index (SAL), the Early Loss Index (ELI) and the Percentage of Hearing Loss, and are applied to data obtained from audiograms performed on workers in occupational medical examinations.

METHOD

Depending on the assessment method selected, these often return different results in grading an individual's hearing status and predicting how it will evolve. To address this problem, medical examinations (including audiograms) were carried out on a heterogeneous sample of 1,418 workers in Spain, from which demographic or personal data (gender, age, etc.), occupational data (noise level to which each individual is exposed, etc.) and other non-work-related factors (exposure to noise outside work, family history, etc.) were also gathered. Using Bayesian Networks, the conditional probability of an individual developing hearing loss was obtained taking into account all these factors and, specifically, noise level and length of service in the workplace. Sensitivity analyses were also carried out using the three scales (SAL, ELI and Percentage Hearing Loss Index), proving their suitability as tools the diagnosis and prediction of deafness. These networks were validated under the Receiver Operating Characteristic curve (ROC) criterion and in particular by the Area Under the Curve (AUC).

RESULTS

The results show that all three methods are deficient in so far as detecting preventive hearing problems related to noise in most workplaces.

CONCLUSIONS

The most restrictive methods for detecting possible cases of deafness are the SAL index and the Percentage Loss Index. The ELI index is the least restrictive of the three methods, but it is not able to discriminate the causes of hearing problems in an individual caused by exposure to noise, either by its intensity level or by the time of exposure to noise. Practical Applications: The use of the three methods in the field of occupational risk prevention is extremely limited and it seems reasonable to think that there is a need for the construction of new scales to correct or improve the existing ones.

PEAKIT: A Gaussian Process regression analysis tool for chemical exchange saturation transfer spectra

Chemical Exchange Saturation Transfer (CEST) is a powerful technique for metabolic imaging, capable of exploring concentrations in the μM to mM range. However, extracting quantitative information from Z-spectra can be challenging due to the non-CEST contributions present and the limited knowledge about the exchanging pools. The PEAKIT tool is proposed as an alternative approach to quantifying CEST peaks, which requires no prior assumptions about the frequency offset or the underlying shape of the baseline. Specifically, the tool takes as input an experimental Z-spectrum and proceeds to identify peak candidates. After a baseline estimation based on Gaussian Process regression, PEAKIT outputs the chemical shift offsets, the areas, the heights and the statistical significance of the detected peaks. The performance and limitations of the PEAKIT tool are discussed for in vitro and in vivo applications.

Universal Design for TBL®: Promoting Inclusion and Access for All Learners

Our institution introduced team-based learning (TBL^®) in 2015. Students shared concerns that the interactivity and loud volume of TBL might disadvantage students uncomfortable with group work, with auditory processing disorders, or who need testing accommodations. We share our efforts to ensure all students can benefit from TBL.

Comparison of land use regression and random forests models on estimating noise levels in five Canadian cities

Chronic exposure to environment noise is associated with sleep disturbance and cardiovascular diseases. Assessment of population exposed to environmental noise is limited by a lack of routine noise sampling and is critical for controlling exposure and mitigating adverse health effects. Land use regression (LUR) model is newly applied in estimating environmental exposures to noise. Machine-learning approaches offer opportunities to improve the noise estimations from LUR model. In this study, we employed random forests (RF) model to estimate environmental noise levels in five Canadian cities and compared noise estimations between RF and LUR models. A total of 729 measurements and 33 built environment-related variables were used to estimate spatial variation in environmental noise at the global (multi-city) and local (individual city) scales. Leave one out cross-validation suggested that noise estimates derived from the RF global model explained a greater proportion of variation (R²: RF = 0.58, LUR = 0.47) with lower root mean squared errors (RF = 4.44 dB(A), LUR = 4.99 dB(A)). The cross-validation also indicated the RF models had better general performance than the LUR models at the city scale. By applying the global models to estimate noise levels at the postal code level, we found noise levels were higher in Montreal and Longueuil than in other major Canadian cities.

Noise levels and sound pollution associated with various operative procedures and equipments in a pediatric dental environment-A clinical study

AIM

To analyse sound levels and sound pollution in a Pediatric Dental Clinic and to analyse whether the levels are significant to the extent of being a health hazard.

METHODS

Noise levels were measured in a Pediatric dental clinic in an institutional setting with a precision noise level meter ((HTC 1350). Recordings were taken at different times of the day, at the centre, chair-side, reception, play area and four corners of the department keeping the microphone at a distance of 6 in. from the operator's ear. The noise levels of various equipments i.e. suction, micromotor, airotor were measured with the equipments turned on and during cutting operations with the microphone placed at a distance of 6 in. from the sound source. The sound levels for the laboratory equipments were taken at a distance of 6 in. and 2 m.

RESULTS

The highest mean sound levels were recorded at the reception, play area and chair-side area with least mean sound levels recorded at 9:00am which increased at 11:30am & 2:00pm and reduced again at 3:30pm The maximum sounds were produced by the lathe trimmer, airotor and scaler.

CONCLUSION

Noise levels in a pediatric clinic approach the level of risk of hearing loss [85 db(A)]. This would have a serious effect on both providers and patients and a concerted effort would be required to control the noise levels and thus avoid the potential health hazards that it poses.

Biomimetic optimization research on wind noise reduction of an asymmetric cross-section bar

BACKGROUND

In this paper, we used the principle of biomimetics to design two-dimensional and three-dimensional bar sections, and used computational fluid dynamics software to numerically simulate and analyse the aerodynamic noise, to reduce drag and noise.

METHODS

We used the principle of biomimetics to design the cross-section of a bar. An owl wing shape was used for the initial design of the section geometry; then the feathered form of an owl wing, the v-shaped micro-grooves of a shark's skin, the tubercles of a humpback whale's flipper, and the stripy surface of a scallop's shell were used to inspire surface features, added to the initial section and three-dimensional shape.

RESULTS

Through computational aeroacoustic simulations, we obtained the aerodynamic characteristics and the noise levels of the models. These biomimetic models dramatically decreased noise levels.

A novel method to reduce noise in electroretinography using skin electrodes: a study of noise level, inter-session variability, and reproducibility

To determine the feasibility of recording reproducible electroretinograms (ERGs) with skin electrodes using a new ERG system. Seventeen healthy volunteers were studied. The dark-adapted, bright-flash ERGs were recorded with a new ERG recording system (LE-4000, Tomey, Nagoya, Japan) in which the stimulus alternated between the eyes every 15 s, and each eye was stimulated eight times. The active skin electrode was placed on the lower eyelids of both eyes. The voltage changes of the non-stimulated eye were subtracted from that of the stimulated eye to try to increase the signal-to-noise ratio for eight stimulus cycles. The noise levels were measured from 12 subjects with and without the subtraction steps. ERGs were also recorded on five different days from five subjects, and the coefficient of variation (CV) and the intra-class correlation coefficients (ICCs) were calculated. The noise level without the subtraction step was 18.4 ± 8.4 μV, and it was significantly reduced to 13.8 ± 4.0 μV with the subtraction step (P = 0.001). Reproducible ERGs were obtained from each subject, and the average CV for the five subjects was 6.1 % for the a-wave amplitude, 7.7 % for the b-wave amplitude, and 7.7 % for the sum of the oscillatory potential (OP) amplitude. The ICC was 0.76 for the a-wave amplitude, 0.68 for the b-wave amplitude, and 0.72 for the sum of the OPs amplitude. These findings indicate that our new ERG recording methods shows noise reduction and good reproducibility with low inter-session variability even with skin electrodes.

Level changes of traffic noise in kerman city, southeast iran

BACKGROUND

The purpose of this research was to determine the traffic noise level and changes in the Kerman City, southeast Iran in recent years.

METHODS

This cross-sectional study was carried out in 2008 to investigate the existing noise situation in Kerman. Sound levels (L(Max), L(Min), L(eq), L(99), L(90), L(50) and L(10)) were determined throughout 13 stations using sound level measurement system (model, CEL-440). Number of passing vehicles was also assessed at the sampled stations.

RESULTS

Sound level in all sampled stations was higher than Iran and World Health Organization guidelines. Comparison of L(eq) in different hours using statistical tests showed significant difference between different hours with 95 % confidence coefficient (P=0.01). Comparison of L(eq) throughout the week also showed that there was a significant difference (P=0.001) between Friday and workday. The comparison of L(eq) with the number of passing vehicles using Pearson correlation statistical test showed significant difference between the number of heavy vehicles passed and the level of L(eq) (P=0.001). It also showed that number of heavy vehicles caused the most noise levels.

CONCLUSION

The results of this study compared to a similar study conducted in 1999 showed an increasingly high noise level. Noise level increased from 1999 to 2008 by 3.89 % which is indicative of an increase in noise emission sources.

Low noise level unmasks late potentials on signal-averaged electrocardiography

INTRODUCTION

Identification of late potentials requires the reduction of random noise by signal averaging. The importance of using a very low noise level (NL) as the end point of the averaging process in patients with ventricular tachycardia, the variation of results when a lower than standard NL was used and the modification of the sensitivity of the test when a very low NL was reached were evaluated.

METHODS AND RESULTS

Signal-averaged electrocardiograms were recorded in 36 patients with ischemic heart disease and spontaneous or induced sustained or nonsustained ventricular tachycardia. Thirteen patients showed negative or indeterminate results on recordings with an NL of 0.3 μV. Eight patients (group 1) underwent a second recording with an NL of 0.1 μV. Eight normal volunteers constituted the control group (group 2). The total duration of the filtered QRS vector magnitude (QRSd), the root mean square voltage of the terminal 40 ms of the vector magnitude (RMS(40)) and the low amplitude signal duration under 40 μV in the terminal portion of the vector magnitude (LAS) modifications were evaluated. A significant difference (P<0.01) in these parameters was observed in group 1 (15.88%, 48.25% and 68.5%, respectively) when both recordings were compared. Tests were positive in all patients (100%) with NL reduction. In group 2, tests were negative in all patients (100%) at both NLs (0.3 μV and 0.1 μV). QRSd was 1.18% longer, RMS(40) was 1.38% lower and LAS was 3.55% longer with NL reduction.

CONCLUSION

Late potentials in patients with ischemic heart disease, ventricular tachycardia, and a negative or indeterminate signal-averaged electrocardiogram may be detected if the NL is reduced to 0.1 μV. Reduction of the NL increased the sensitivity of the test without modifying its specificity.