Empathy and Low Participation of Women in Engineering: Is There a Hidden Link

Women are severely underrepresented in science, technology, engineering, and mathematics (STEM) education and the related work force. One of the reasons for the low presence of women in engineering is a lack of connection between engineering-related values and women’s personal values and beliefs, in particular the difference in empathy value. This study examined how empathy may have contributed to the low enrollment of women in engineering majors. An online survey was used to collect data from undergraduate students in an urban university in the United States. Statistical procedures were carefully selected to analyze the survey data and answer the four research questions. The results indicate that 1) students with a stronger empathizing trait reported lower likelihood of majoring in engineering; and 2) the perceived empathy level of a given academic discipline was a significant factor in students’ major choice. The lower likelihood of majoring in engineering was associated with its low empathy level perceived by the students. The major findings of the study call for reformulation of the engineering education so that human-centered values can be emphasized as critical components to the existing curricula

Esophageal electric fields are predictive of atrial cardioversion success-a finite element analysis

Background: Atrial fibrillation (AF) is a debilitating cardiac arrhythmia, one potential treatment of which is external cardioversion. Studies have shown external cardioversion success is affected by electrode placement and that esophageal electric fields (EEFs) during low strength shocks have the potential to be used in determining patient-specific optimal electrode placements during animal experiments. The objective of this study was to determine the relationship between EEFs and atrial defibrillation thresholds (ADFTs) during computer simulations using an anatomically realistic computer model of a human torso. Methods: Over 600 electrode placements were simulated during which EEFs were compared to ADFTs. Results: There was no single optimal electrode placement with multiple electrode placements resulting in similarly low ADFTs. There was over 40% difference in the ADFTs between the most and least optimal electrode configurations. There was no correlation between EEFs and ADFTs for all electrode placements, but a strong negative correlation when small shifts from clinically relevant electrode placements were performed. Conclusions: These results suggest a small shifts protocol from clinically relevant electrode placements has the potential to increase the probability of successful cardioversion on the first shock and reduce the cumulative number of shocks and energy to which patients are exposed

An esophageal probe for measuring three-dimensional electric fields during external cardiac defibrillation

External defibrillation is a common treatment for the cardiac arrhythmia atrial fibrillation. Electrode placement has been shown to affect defibrillation efficacy and required energy levels. We suggest investigating the relationship between esophageal electric fields (EEFs) and atrial defibrillation thresholds to determine the feasibility of creating patient-specific electrode placements using EEFs. This study presents the design and implementation of an esophageal probe (EP) that accurately measures three-dimensional electric fields. The root-mean-square error of the EP was 1.69% as determined by measurements performed in an electrolytic tank. The EP also performed well during in vivo testing in a pig. There was a strong positive relationship between EEF 2s and applied energy during defibrillation strength shocks. The EEF measurements were also repeatable, with less than 4.24% difference between repeated shocks. This is the first description of a probe designed specifically for measuring electric fields in the esophagus. © 2012 Institute of Physics and Engineering in Medicine

Transthoracic atrial defibrillation energy thresholds are correlated to uniformity of current density distributions

Previous studies have shown that successful defibrillation depends on the uniformity of current density in the heart and the percentage of total current reaching the heart. This study uses an anatomically-realistic finite element computer model of the human torso for external atrial defibrillation to (1) examine the defibrillation energy thresholds and current density distributions for common clinical paddle placements and (2) investigate the effects of electrode shifts on these defibrillation parameters. The model predicts atrial defibrillation threshold (ADFT) energy by requiring a voltage gradient of 5 V/cm over at least 95% of atrial myocardium. This study finds that variation in electrode placement by only a few centimeters increases ADFTs by up to 46% with a corresponding change of 38% between the average current density in the left and right atria and 34% between the heterogeneity indices of atrial current density distributions. Additionally, the heterogeneity index, or degree of uniformity, is linearly correlated to the ADFT (R2=0.9). We suggest that uniformity of current density distribution, in addition to minimum current density, may be an important parameter to use for predicting successful defibrillation when testing new electrode placements. © 2006 IEEE

Gait module for freshman-level introductory course in biomedical engineering

A challenge-based instructional module on gait motions and elementary biomechanics for first-year engineering course co-listed in biomedical and mechanical engineering is developed. The learning objectives for gait module are practice problem solving techniques, implement graphing techniques and statistics to solve engineering problems. The students use available gait measurements such as tride intervals to suggest useful descriptions of walking for improvements and development of a simulator for knee prostheses and a smart running shoe with computer-adjusted cushioning. The students are given an application of acquired data analysis skills that is more motivating than a canned exercise by incorporating gait challenge into first-year cpourse

Effects of macroscopic heterogeneity on propagation in a computationally inexpensive 2D model of the heart

We have developed a computationally inexpensive, two-dimensional, bidomain model of the heart to demonstrate the effect of tissue heterogeneity on propagation of cardiac impulses generated by the sino-atrial node (SAN). The geometry consists of a thin sheet of cardiac tissue with designated areas that represent the SAN and atria. The SAN auto-generates continuous impulses that result in waves of normal propagation throughout the tissue. On the introduction of heterogeneous patches with low tissue conductivities, the rhythm of the waveform becomes irregular. The study suggests that simplified and computationally inexpensive models can be insightful tools to better understand the mechanisms that cause atrial fibrillation (AF) and hence more effective treatment methods

Esophageal electric fields are predictive of atrial defibrillation thresholds

Background: Atrial fibrillation (AF) is a common cardiac arrhythmia characterized by disorganized cardiac electrical activity. Defibrillation electrode placement has been shown to affect the amount of energy and number of shocks required to defibrillate. The objective of this study was to investigate the relationship between esophageal electric fields (EEFs) and atrial defibrillation thresholds (ADFTs) to determine the feasibility of using EEFs during a low-strength shock to predict patient-specific defibrillation electrode placements. Methods: AF was induced and defibrillated according to a Bayesian four-shock protocol for 12-electrode placements in six pigs. EEFs were measured during each of the four shocks of the protocol and during a 1-J shock for each electrode placement. Squared EEFs (EEF 2s) during all shocks were compared to the ADFTs using a linear regression. Results: There was a negative relationship between EEF 2s during the 1-J shocks and ADFTs, with median R 2 values of 0.863 and 0.840 for anterior-anterior (AA) and anterior-posterior (AP) electrode placements, respectively. There was a strong, positive relationship between applied energy and EEF 2s, with median R 2 values of at least 0.866 for all animals. The placement with the highest EEF 2 resulted in the lowest ADFT for both AA and AP placements in four of six pigs. In the other two animals, this held for one electrode set but not both. Conclusions: There was a strong negative relationship between EEF 2s during 1-J shocks and ADFTs for both AA and AP electrode placements. These preliminary results suggest that using EEF 2s to predict patient-specific electrode placements is feasible. © 2011 Wiley Periodicals, Inc

Wireless simultaneous stimulation-and-recording device to train cortical circuits in somatosensory cortex

We describe for the first time the design, implementation, and testing of a telemetry controlled simultaneous stimulation and recording device (SRD) to deliver chronic intercortical microstimulation (ICMS) to physiologically identified sites in rat somatosensory cortex (SI) and test hypotheses that chronic ICMS strengthens interhemispheric pathways and leads to functional reorganization in the enhanced cortex. The SRD is a custom embedded device that uses the Cypress Semiconductor\u27s programmable system on a chip (PSoC) that is remotely controlled via Bluetooth. The SRC can record single or multiunit responses from any two of 12 available inputs at 1-15 ksps per channel and simultaneously deliver stimulus pulses (0-255 μA; 10 V compliance) to two user selectable electrodes using monophasic, biphasic, or pseudophasic stimulation waveforms (duration: 0-5 ms, inter-phase interval: 0-5 ms, frequency: 0.1-5 s, delay: 0-10 ms). The SRD was bench tested and validated in vivo in a rat animal model

An inexpensive alternative bath system for electrophysiological characterization of isolated cardiac tissue

A tissue bath system, to be used as an alternative to complex perfusion chambers, was constructed for use in cardiac electrophysiological studies. This system consists of an acrylic chamber to hold circulating physiological medium such as DMEM, suspended in a water bath warmed by a hot plate. Temperature and pH were controlled to mimic physiological conditions. Rat and porcine cardiac tissues, were used to test viability of the conditions presented in the bath system. Using a cardiac mapping system, the tissues were stimulated and responses recorded. From the recordings we were able to calculate conduction velocities and spatial dispersion of activation indices. The results are comparable to previous in-vivo work, which suggests that the tissue bath system design can maintain tissue viability. This tissue bath system is a relatively simple alternative for ex-vivo testing of cardiac tissues. © 2011 IEEE

Focality of the induced e-field is a contributing factor in the choice of tms parameters: Evidence from a 3d computational model of the human brain

Transcranial magnetic stimulation (TMS) is a promising, non-invasive approach in the diagnosis and treatment of several neurological conditions. However, the specific results in the cortex of the magnitude and spatial distribution of the secondary electrical field (E-field) resulting from TMS at different stimulation sites/orientations and varied TMS parameters are not clearly understood. The objective of this study is to identify the impact of TMS stimulation site and coil orientation on the induced E-field, including spatial distribution and the volume of activation in the cortex across brain areas, and hence demonstrate the need for customized optimization, using a three-dimensional finite element model (FEM). A considerable difference was noted in E-field values and distribution at different brain areas. We observed that the volume of activated cortex varied from 3000 to 7000 mm3 between the selected nine clinically relevant coil locations. Coil orientation also changed the induced E-field by a maximum of 10%, and we noted the least optimal values at the standard coil orientation pointing to the nose. The volume of gray matter activated varied by 10% on average between stimulation sites in homologous brain areas in the two hemispheres of the brain. This FEM simulation model clearly demonstrates the importance of TMS parameters for optimal results in clinically relevant brain areas. The results show that TMS parameters cannot be interchangeably used between individuals, hemispheres, and brain areas. The focality of the TMS induced E-field along with its optimal magnitude should be considered as critical TMS parameters that should be individually optimized