Life Science Hardware and Software

As technology improves and increases the likelihood of teams with humans and (semi-)autonomous artificial agents (e.g., virtual or robotic agents), studying potential agent capabilities becomes increasingly meaningful. Studies on organizational science focus on how members of teams communicate effectively. Team members must be able to understand each other’s goals, equipment necessary, and shared information about a given task. Shared mental models (SMMx) have been shown to efficiently expedite this information and allow team members to track each others’ progress.

Matthias Scheutz, Scott DeLoach and Julie A. Adam propose the first formal and computational frameworks for shared organizational mental models for human-robot (H-R) teams by monitoring team members physiological responses. The researchers broke down shared mental models between two key elements; data representations, capturing information and sharing between team members, and computational process, how data representations are shared and maintained. Data representations were broken down into five key component areas; agent capabilities, agent and task states, obligations, activity and equipment types, and functional agent roles. These were all given assigned algorithms to create a formal mathematical model to show how the data representation is maintained. Human Performance Factors (HPF) were also established to potentially provide a means for predicting human behavior and how their performances are affected by various internal, external, organizational and task factors. With the formal framework established, Scheutz, et al. established a computational framework for recording physiological measures to provide what they call “Workload Channel Estimation” that calculates estimates for workloads.
Researchers propose using BIOPAC’s wearable BioHarness monitor that would provide wireless physiological feedback to auditory, tactile, or motor stimuli. These measures would then inform the workload estimation and provide data for the computational framework on how physiological factors maintain the shared mental model. Scheutz, et al’s frameworks can provide new insight into what organizational strategies are most effective in communicating task information and potentially provide a measurement for team members’ most effective workload.

Ensemble analysis averages raw waveform signals through lining up their peaks, allowing researchers to mitigate noise or potential outside artifacts. Researchers Cieslak et al. (2017) from University of California, Santa Barbara, identified and assessed a new open source tool that conducts ensemble analysis of cardiovascular data. The moving ensemble analysis pipeline (MEAP) builds on classic collection and analysis tools; not only in detecting cardiovascular state during an experiment, but also in measuring how cardiovascular cycles change overtime.
Cardiovascular measurements are typically averaged to reduce noise, but traditional measurement methods made capturing changes in cardiovascular cycles restricted to a select window of time. This makes it difficult to assess fast changes with traditional cardiovascular ICG data. With MEAP, variability is better analyzed, allowing it to become a more accurate dimension of assessment.
In assessing MEAP’s viability, researchers measured two participants as they completed four different tasks. The experiment began and ended with a random dot kinetogram task allowing for a baseline control of cardiovascular activity. This was followed by the “cold presser” and “Valsalva,” two tasks that were expected to induce strong physiological reactions. Another task included a video game, seen as having less predictive effects.
Two subjects were measured for ECG and other physiological signals as they completed the four physical and cognitive tasks. BIOPAC’s research solutions included ECG100C utilized for ECG, NICO100C-MRI to collect ICG signals, and NIBP100D CNAP Monitor 500 to record blood pressure. Data was gathered and measured with MP Research System with AcqKnowledge software.
The results pointed to changes typical cardiovascular measures wouldn’t be able to describe. This was seen during the Valsalva maneuver, where rapid baroflex changes occurred. It was also found cardiovascular data varied immensely while performing repetitive tasks.
The paper recognizes MEAP’s potential for rapidly advancing findings that use cardiovascular data. The authors point to this tool’s potential ability for exploring new areas of study that have been difficult to quantify in the past, such as linking cardiovascular reactivity to motivation. In acknowledging the benefits of MEAP, the authors stress the importance of not overstepping smaller aspects of acquisition, such as poorly attached electrodes or imbalanced experiment design. Overall, this paper recognizes, analyzes, and validates this exciting new development in the field of cardiovascular research.

Cardiovascular tests during a self-paced maximal exercise protocol (SPV) continually scored high ratings of VO2 max when compared to more traditional procedures. Jenkins et. al sought to understand the underlying causes of this increase in VO2 max by testing SPV versus the more regimented RAMP method. They sought to explore the results through extensive physiological measurement, as well as testing difference in older and younger age groups, while participants completed physical experiments.

The SPV protocol was completed on an air-braked cycle ergometer, which allowed participants to continually vary their Power Output (PO) throughout the test. An electro-magnetically braked cycle ergometer was used for the RAMP protocol, so that PO was fixed for each stage of the incremental RAMP protocol.

VO2 Max is essentially the maximum amount of oxygen utilized during a workout. Forty-four (44) male and female participants completed the experiment, half aged between 18- 30 and half between 50-75. The participants completed each test over a multi-day period. The tests were exhaustive, requiring subjects to cycle in place until they couldn’t any longer.

Jenkins et. al recorded various physiological signals including NIRS, breathing/expired gases, cardiac output/ stroke volume, blood lactate, and electromyography (EMG). BIOPAC’s BioNomadix research acquisition system wirelessly transmitted EMG data using two electrodes placed on participants’ right leg while they completed physical tasks.

Researchers were able find differences in the interaction effects of EMG between the two test protocols in the older group. The results complied with previous research, in that SPV allowed a higher VO2 max compared RAMP. Through monitoring physiological measurement, the study results suggested increased oxygen delivery as to an increase in oxygen-muscle extraction. The researchers found that there wasn’t a significance difference between the two testing protocols with the older population, though it’s unclear why. Overall, the experiment provides greater understanding of what causes differences in VO2 max between the two experimental procedures.

Pitch determines the level of influence on listener perception, physiological arousal, attention, and memory, according to new research published in Human Communication Research (June 2017). Professors at the Communication Department and Department of Translation and Language Sciences at Universitat Pompeu Fabra and the Institute for Communication Research at Indiana University conducted the joint study to examine intonation’s impact on interpersonal influence with self-report analyses and memory tests.

BIOPAC’s BioNomadix helped the researchers discover the psychophysiological signs of comprehension and autonomic arousal. Physiological data aided the researchers in understanding participant attention, offering an objective analysis of the participant’s experience. Each participant identified as female and listened to both narrative and informative commercials, with varying intonation, while wearing BIOPAC’s technology. The participants' retention and cognitive processing suggest that tone does affect interpersonal influence. Commercials, with a unique level of intonation (or the most varying), proved to have the highest standards of influence. The more varying in pitch or tone, the more likely participants were to process and recall information in the commercials. BIOPAC’s BioNomadix allowed the researchers to record wireless EDA from the participants, capturing electrical responses to communication within participants to improve understandings of effective communication. Specifically, BioNomadix wirelessly recorded response data from a wearable transmitter to measure the arousal and attention of participants by capturing their skin conductance response after exposure to stimuli. This type of research will continue evolving media communication and interpersonal influence systems for anyone interested in effective communication strategies. The study’s breakthrough research offers an incentive for further study into the cognitive processing of audio communication.

Facial electromyography (FEMG) was compared to the more commonly used EMG in an experimental context to indentify if there is a more accurate approach that can be taken by neurological researchers in the field of advertising. Authors Lajante et al. identified that there are short comings when utilizing EMG to provide insight on the emotional reactions of individuals to advertising content and that other methodological approaches could be beneficial. FEMG represents a closer analysis on subtle facial movements, through which there is the potential of signaling positive and negative emotions in very subtle facial motions or changes. Comfortably seated in a laboratory setting, participants were fitted with electrodes and warned not to make unnecessary movements. EMG and FEMG were then concurrently monitored while advertisements by eight distinct brands were displayed on a flat screen TV in front of them. After being exposed to the advertisements, participants completed a 9-point self-assessment survey. BIOPAC’s wearable BioNomadix 2ch EMG transmitter was utilized for the purpose of collecting the FEMG signals. These signals were measured through observing specific, responsive muscle movements. Upward movements at the corners of the mouth indicated the Zygomaticus major, responsible for smiling or positive emotional response. Negative emotions were similarly identified through a frowning gesture indicated by eyebrow contractions. The researchers concluded that while facial EMG provides benefits as a form of measurement, there are extenuating complications with recording. Though it does effectively measure the emotional valence of a participant, there are doubts in the confidence of reliability and validity of the data. Lajante et al. addressed the importance of abiding strictly by the technological and methodological guidelines if considering this new and relatively unexplored area of research. Ultimately this study represents baby steps in exploring an exciting new avenue of research. Facial EMG has the potential of being a more emotionally sensitive approach when further researching and understanding people.

Many factors remain unknown on how infants acquire language and speech information in their formative years. In a study, researchers Leong et al., addressed the question of what “neural mechanism” infants use when first being introduced to language that allows for their unique “boot-strap language learning” style (Leong et al, 2017). When identifying the neurological workings of language acquisition in adults, it’s believed adults focus on certain aspects of speech, specifically the syllables and phonemes of general speech. In understanding if infants use this same focus (known as multi-time oscillatory analysis) when speech is directed to them, researchers used and compared wireless electroencephalography (EEG) speech frequency measurements between infants and adults by calculating “Phase-locking values” (PLVs). The findings were categorized based on the different speech rates being received by participants. The method consisted of 58 participants made up of 29 infants and their mothers, but when testing, 19 of the infant’s researched provided sufficient data. The stimuli participants were processing during the experiment consisted of seven nursery rhymes familiar to both the child and parent. Since this study was to understand if adults and infants use similar neurological mechanisms, the mothers’ and infants’ EEG were recorded simultaneously and later compared results would reflect infant language processing relative to that of adult. It was recognized that wireless research systems would benefit the accuracy of the study by eliminating uncomfortable, potentially distracting wires around the infants. Utilizing BIOPAC’s BioNomadix dual-channel wireless EEG amplifier paired with MP Research Acquisition System, data from the wireless EEG transmitter was then gathered through AcqKnowledge software, allowing for measurement of the PLVs while participants were processing nursery rhymes. The results found evidence that infants were actually able to neurologically entrain speech better than adults when the rate was 9.3 Hz and 4.5 Hz, almost equally at 1-2 Hz, and less accurately with lower speech rates 0.5 Hz. The researchers specified that due to the results, future findings could further the understanding of the relationship between neural entrainment and language processing in early infants.

Behavioral inhibition (BI) has proven to be a fundamental risk factor in childhood anxiety psychopathology, arguably the most crucial factor in the development of anxiety. BI is defined as the increased arousal in response to novel stimuli, shyness, and withdrawal even in high-reward situations. The strength of this association varies based on respiratory sinus arrhythmia (RSA) regulation, yet little is known about this function in children with anxiety disorders.

RSA is characterized as the rhythmic fluctuations in heart rate associated with the respiratory cycle regulated by the parasympathetic nervous system. In a “basal,” or low-threat situation, RSA slows down the heart to maintain baseline levels. In a “challenge,” or high-threat situation, RSA is suppressed, which results in an increased heart rate and a fight-or-flight response. Thus, a greater control of the parasympathetic nervous system corresponds with high basal RSA (slowed heart rate) and increased adaptability and composure during threatening situations.

In “Children's behavioral inhibition and anxiety disorder symptom severity: The role of individual differences in respiratory sinus arrhythmia ,” an original research article in tech science journal , Behaviour Research and Therapy, Viana, Andres G., et al. explored the ability of RSA to moderate the association between BI and anxiety disorder symptom severity. They investigated RSA response during both a basal situation and challenge situation in the context of clinical anxiety. Participants consisted of forty-four children between the ages of 8 and 12, and their mothers. The first session involved self-report questionnaires and clinical interviews, and the second session involved an experiment with the children in a challenge situation. Using a BIOPAC MP system, the researchers gathered electrocardiogram (ECG) data with a wireless BioNomadix ECG transmitter and receiver. They also measured changes in the subjects’ thoracic circumference with the wireless BioNomadix respiration transducer, and recorded online through AcqKnowledge.

The data collected were analyzed to find RSA mean scores and revealed a positive association between BI and anxiety disorder symptom severity. Children with high levels of BI and low RSA responses to basal and challenge situations were found to have the highest levels of anxiety disorder symptoms. In addition, among children with high RSA responses to basal and challenge situations, the association with BI was non-significant. These findings support the supposition that higher levels of RSA, and ability to control the parasympathetic nervous system, may function to weaken the relationship between BI and anxiety. Thus, higher RSA may be related to an increased ability to regulate psycho-physiological responses and emotion, and act as a buffer against psychopathology.

In a first-ever study to examine adult-infant neural coupling and characterize its causal architecture, mutual direct gaze was seen to increase adult-infant neural coupling during social communication. Learning requires an individual’s full attention to retain the information being passed along. Attention sharing between people, through verbal spoken communication and nonverbal cues like eye gaze, is known to increase learning as it strengthens the attention amongst the individuals. Nonverbal cues are especially important in infant learning as they rely on them to learn meaning and intention. Little is known, however, about the cognitive processes behind this increased attention and predicting communication success. Victoria Leong, Elizabeth Byrne, Kaili Clackson, Sarah Lam and Sam Wass sought to understand whether gaze during spoken communication influences neural coupling, which would indicate communication success amongst adult and infant pairings. The experiment enlisted twenty-nine infants–fifteen males, and fourteen female–all around eight (8) months old, who interacted with one female adult experimenter. The adult experimenter addressed each infant one at a time and sang nursery rhymes that were familiar (sung at home by parents). The experimenter sang the nursery rhymes in two gaze conditions to each infant, either direct (gaze at infant) or indirect (gaze to the side of infant). EEG was recorded during the nursery rhyme procedure using BioNomadix wireless EEG amplifiers, connected to a MP160 research system. Teh wireless EEG setup was chosen to increase infant comfort and reduce distraction. The results confirmed the experimenters’ hypothesis as directional connectivity between adults and infants was higher during the directional gaze periods compared to the indirect gaze periods. Leong, et al also found that infants influenced adults more, rather than the other way around, over Alpha and Beta neural bands. This study provides a base for which other research can further investigate neural coupling’s effects in learning and other parts of social behavior beyond communication between infants and adults.

Stress has negative effects on the health of the body and the health of economies. When a person is feeling stress, the body releases certain chemicals that lower the immune system, increasing the likelihood that illnesses will form in the body. Stress can also cause negative effects in the workplace, as when workers take time off and seek treatment, the companies they work for lose money as well. The Mental Health Foundation estimates that around 12 million adults living in the United Kingdom visit their General Practitioner every year with concerns of their mental health that have been brought on by stress. Due to these illnesses, an estimated 13.3 million work days are lost every year. The World Health Organization estimates that around 8.4 million GBP (10.5 million USD) are lost by UK businesses due to these health concerns. Moreover, the average wait time to get treatment is 3-6 months. Because of these factors, over the last decade studies performed on stress and mental health have increased in popularity. Researchers, Mozos, Oscar Martinez, et al. aimed to detect stressful behaviors by having their participants wear noninvasive physiological monitoring systems to find what activities elicited stress. These experiments were performed in a laboratory setting, using the TSST (Tier Social Stress Test) to manage levels of anxiety in each participant in a controlled situation; this popular method was used in over 4,000 settings over the last decade. The total sample size the researchers used was 18, male and female volunteers from the School of Psychology at the University of Lincoln in the UK. The social task presented was for the subject to prepare a presentation for a mock job interview, and tasked to speak continuously for five minutes. When subjects paused the first time, the experimenter would tell them their remaining time and ask them to continue. The second time the participant paused they would be asked a set of predefined interview questions. For the cognition task, the experimenter asked the participant to count down from 1022 in sets of 13, for five minutes. If the participant made a mistake, they were asked to start from 1022 again. Using the wearable, dual-signal BioNomadix, researchers wirelessly recorded electrodermal activity (EDA) and pulse plethysmograms (PPG), then analyzed the data to gather the Heart Rate Variability (HRV) between different tasks the subjects were doing, and extrapolate the stress the subjects were feeling in those conditions. The goal of the researchers was to show that using wearable monitoring systems can help detect stress, and with variations, can be applied outside of the lab, and into everyday interactions to get a firmer grip on what is causing anxiety and stress in millions of people.

Cardiovascular risk factors (obesity, metabolism, hypertension, etc.) can significantly impact a person’s lifespan. While obesity rates are currently stagnant, they still remain very high. Cardiovascular risk factors have thus become the focus of health research to understand what behaviors might contribute to increased risk. The majority of these studies have been aimed specifically at adults, but little is understood about the origins of these risk factors in childhood. Laurie Wideman, et al thus sought to create a longitudinal study that investigated social and emotional development, called the RIGHT Track Health Study. The RIGHT track study followed participants from infancy to young adult to understand how their self-regulation and increased autonomy via their health behaviors might contribute to cardiovascular risks factors. Participants were measured at five ages: two, four, five, seven, and ten. Participants performed a variety of assessments including body composition, fitness tests, orthostatic challenge (while having heart rate variability recorded), 7-day accelerometry for physical activity and sleep, 24-hour dietary recalls, and blood analysis for various related biomarkers. Researchers also had participants complete extensive self-report measures related to diet, sleep, physical activity, and medical history. Heart rate variability (HRV) was measured using BIOPAC’s dual-channel BioNomadix wireless ECG and Respiration transmitter while participants performed the orthostatic challenge. Heart rate variability measured from the orthostatic challenge was compared to HRV collected during the early years of the study where the infants underwent psychological stressors. Through their RIGHT track health study, the researchers were able to provide valuable about the influence of childhood regulatory abilities on youth healthcare. The researchers hope that their findings will help illuminate potential critical “windows,” or specific points in childhood where people may be more at risk. Assessing when these windows occur could help greatly reduce certain risk factors and help our understanding of how to prevent chronic disease earlier in life.

One of the foundational concepts making virtual reality (VR) video games of high interest is the game’s ability to transport the user to a flow state. The visual and auditory stimuli presented are highly immersive, leading the user to focus entirely on the game, often losing track of time. Flow states are characterized by this lack of time awareness, as participants are able to match their abilities with the demands of the game (i.e., the game is not too easy or too hard). But what qualities reflect a flow state as it is happening in the moment? Researchers from Shandong University tested five first-level physiological functions to determine their efficacy in reflecting a flow state, including EMG, EDA, EEG, respiratory rate, and cardiovascular activity. Thirty-six students participated in a VR game while having their physiological responses monitored. Prior to the experiment, the researchers placed BIOPAC’s wearable dual-signal BioNomadix transmitters with appropriate electrodes on the participants to wirelessly record Respiration and ECG data. Participants were then seated in the designated gaming chair for five minutes to record baseline responses. After this, they played the game for six minutes, followed by a questionnaire about flow experience. The results showed that the five physiological functions, as a whole, indicated flow state, though respiratory rate was most effective. The authors note that, as a physiologic arousal marker, respiratory rate best predicted flow state.

Having physiologic indicators of a flow state not only assists future research, but also provides a method for real-time feedback on the efficacy of the game. The authors note that with better biometric data comes the opportunity to provide a better gaming experience, with real-time adjustments. If the physiologic responses and adjustments could be integrated with the gaming software, games would be far more realistic.