Recording Facial EMG with New Amplifier Technology

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In this training session, Frazer Findlay, CEO of BIOPAC, demonstrates how fEMG with Smart Amplifiers can be used to track emotions and for a variety of other studies involving visual, auditory and haptic stimuli, startle response, emotional response, unconscious learning and more. Presented as a live demo, Frazer discusses optimal electrode placement and best practices for collecting fEMG signals from the zygomaticus and corrigator supercilii muscles. Discussion topics include: - How to optimize subject preparation and electrode placement - Critical factors to improve data quality - Current wired and wireless options - Live demo of hardware and software, including live data recording and analysis

Ciencias

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Registered to ISO 9001:2015

Frazer Findlay
CEO
BIOPAC Systems, Inc.
How to Record Great Facial
EMG Data

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Over 99% of top universities run BIOPAC Systems
THE WORLD DISCOVERS
WITH BIOPAC
Solutions for life science research and education

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THE WORLD DISCOVERS
WITH BIOPAC
BIOPAC systems cited 34,000
times

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•Subject setup
•Hardware setup
•Recording data
•Analysis
Agenda

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Subject Setup

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Zygomaticus Major

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Corrugator Supercilii

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Subject Preparation
ELPREP
GEL100
EL-CHECK
ALCPAD
AND/OR

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100C–Series Electrodes and Leads
LEAD115 Lighter Lead Series EL254S Shielded 4mm ElectrodeEL654 Ag/AgCl 4mm Electrode

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BioNomadix Leads

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EL513 Disposable Cloth Electrodes

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New Smart Amplifiers
fEMG

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100D-
Series
Smart
Amplifiers
Provide high quality low noise signals
Small, light form factor to be comfortable for the
subject
Connect directly to the new interface – AIM100D
Co-exist with other connected C series modules,
including wireless BioNomadix
Detect and warn users when amplifiers are not
connected properly

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100D-Series Smart
Amplifiers
• Provide signal type information and software
options to automatically define derived signals
(e.g. heart rate)
• Automate initial hardware setup to match
connected amplifiers
• Reuse BioNomadix electrode leads and
transducers
• MEC104D 4-channel extension cable to extend
distance beyond standard 3m cables

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BIOPAC—Inspiring people and enabling discovery about life
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Amplifier Types
ECG
01
EOG
02
EMG – Large
Muscle
03
EMG – Facial
04
EGG
05
EEG
06
ERS Evoked
Response
07
RSP –
Resp belt
08
PPG
09
EDA
10
Skin temp
11

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MP160 and
AMI100D

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Hardware Options

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New Smart Amplifiers

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MP160 and
Smart Amplifiers

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BioNomadix Wireless EMG100C Tethered EMG100C-MRI Tethered

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Logger
Smart Center

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In this webinar, experts provide an overview of causal inference, along with step-by-step guidance to designing these studies using real-world healthcare data. Causal inference is used to answer cause and effect research questions and yield estimates of effect. Causal study design considerations and statistical methods address the effects of confounding variables and other potential biases and allow researchers to answer questions such as, “Does treatment A produce better patient outcomes compared to Treatment B?” Causal study interpretations have traditionally been restricted to randomized controlled trials; however, causal inference applied to observational healthcare data is growing in importance, driven by the need for generalizable and rapidly delivered real-world evidence to inform regulatory, payer, and patient/provider decision making. The application of causal inference methods leads to stronger and more powerful evidence. When these techniques are applied to observational data, the results generated are both from and for the real world. Presenters walk through several real-world case studies including the PCORI-funded BESTMED study and a collaborative study with a prominent pharmacy payer.

Designing Causal Inference Studies Using Real-World Data

InsideScientific

Many new data are emerging in recent years - real time data is collected through digital health technologies, including apps and wearables, monitoring data, social media data, public datasets, and patient organization data, in addition to primary and secondary datasets. Real life data are highly informative and can be used to address a range of challenges throughout the product life cycle. Data from social media can generate valuable insights as patients often gather in digital communities to get answers and share their experiences. Conversations on social networks merit special consideration as they can have real world influence over treatment management decisions. Social media data can reveal the motivations that impact patient healthcare decisions and behaviors through each stage of the care pathway. These data provide both the patient and caregiver perspectives at the same time. For this reason, conversations on social networks offer an opportunity to deepen our understanding on: - The fears and hopes associated with patient treatments - Daily needs and difficulties patients are facing in managing their disease - The impact of disease on patient health related quality of life - Identification in real life of the stages of the care pathway and patient perceptions - Reactions to health policies Watch this webinar for insights on how to collect, use, analyze, and interpret social media data in different contexts. Our experts share knowledge from over fifteen years of successfully developing and adapting algorithms to treat this kind of data.

Social Media Data: Opportunities and Insights for Clinical Research

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To learn more visit: https://insidescientific.com/webinar/we-are-more-than-what-we-eat-dietary-interventions-depend-on-sex-and-genetic-background/ Despite evidence that sex and genetic background are key factors in the response to diet, most studies of how diet regulates metabolic health and even longevity in mice examine only a single strain and sex. Using multiple strains and both male and female mice, Dr Lamming's team has found that improvements in metabolic health and in longevity in response to reduced levels of protein or specific amino acids strongly depend on sex and strain. While some phenotypes were conserved across strains and sexes, including increased glucose tolerance and energy expenditure, they observed high variability in adiposity, insulin sensitivity, and circulating hormones. Using a multi-omics approach, they identified mega-clusters of differentially expressed hepatic genes, metabolites, and lipids associated with each phenotype, gaining new insight into role of the energy balance hormone FG21 in the response to protein restriction.

We Are More Than What We Eat Dietary Interventions Depend on Sex and Genetic ...

InsideScientific

Amy Sheng, PhD provides an overview of antibody screening platforms and presents applications and case studies using the Beacon® platform for antibody discovery. Single B cell screening is a powerful and efficient strategy for generating antigen-specific monoclonal antibodies. Distinguished with fluorescence-activated B cell sorting, the Beacon® platform is based on plasma cell screening, making it easier to obtain antibody genes. The Beacon® single-cell optofluidic system combines a unique optoelectro positioning (OEP) technology with novel microfluidic technology. It can be used to accurately select single cells on a chip, perform multiple single-cell assays, and export target cells based on specific results. The Beacon® optofluidic platform preserves the diversity of B cells, generating high-quality positive hits at an early stage of discovery and avoiding the loss of “good clones”. Key Topics Include: - B cell differentiation and development - Pros and cons of mainstream antibody screening platforms - Mechanisms, applications, and case studies using the Beacon® platform for antibody screening - Sino Biological’s capacity using the Beacon® platform

Antibody Discovery by Single B Cell Screening on Beacon®

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Phil Griffiths, PhD, presents a summary of chronic cardiovascular telemetry studies and considerations for experimental design. Ensuring you collect the best and most physiologically accurate data from your chronic telemetry experiments requires careful planning and experimental design. This webinar will give an insight into the practical aspects of designing chronic animal experiments to set you on the best path for success. The benefits of chronic studies, how to select the most appropriate sample size for your study, some basic tips and tricks for data acquisition and handling, and how to ensure high animal welfare are discussed. Key Topics Include: - What are the benefits of chronic over acute studies? - How to decide the best sample sizes and the length of experiments? - Basic tips for data acquisition and handling - How to maintain high animal welfare standards

Experimental Design Considerations to Optimize Chronic Cardiovascular Telemet...

InsideScientific

In this webinar, Dr. Dennis Turner delves into dementia syndrome, the metabolic changes that occur, and the importance of proper physiological monitoring of animal models. Brain metabolism transforms with normal aging, and transient, dynamic metabolic insufficiency may underlie critical progression from aging into dementia syndrome and Alzheimer’s disease (AD). Age-related brain metabolism balances vascular-related substrate supply and transport mechanisms into extracellular space to neurons with cellular metabolic needs and utilization. Dynamic metabolic insufficiency can occur when there is intermittent supply-demand mismatch. Adequacy of neurovascular coupling to provide sufficient cerebral blood flow (CBF) to meet neuronal demand in vivo in a mouse AD model, compared to aged controls were studied. Dr. Turner’s lab analyzed the response to maximal neuronal metabolic demands, spreading depression and anoxia, using imaging, CBF measurements, and oxygen and glucose levels. These in vivo studies require human-similar anesthesia conditions, through monitoring temperature, blood pressure/pulse oximetry, and respiration, to maintain homeostasis. The lab confirmed abnormal neurovascular coupling in a mouse model of AD in response to these metabolic challenges, showing disruption much earlier in dementia than in equivalently aged individuals. Chronic metabolic treatments could influence dementia syndrome progression.

Strategic Approaches to Age-Related Metabolic Insufficiency and Transition in...

InsideScientific

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