AcqKnowledge includes tools to set limits and thresholds to isolate specific events within data files from surface EMG (sEMG) and movement (e.g., accelerometry or goniometry) recordings to identify when a subject is actually moving versus experiencing a muscle tremor episode. After events are identified, users can perform cross-channel analysis on the rest of the data to validate the event
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MP160 System
Wired | EMG and Movement Analysis
MP160 with AcqKnowledge plus EMG amp, reusable 8 mm electrodes, gel, and impedance checker
MP160 System
Mobita
Wireless | EMG and Movement Analysis
Mobita system for up to 32-CH Wireless Biopotentials plus AcqKnowledge
BioNomadix Logger
Wireless | EMG and Movement Analysis
BioNomadix Logger and one transmitter for wireless dynamometry & EMG, clench force transducer, 30 cm leads & disposable electrodes, plus Impedance Checker
MP160 System
Wireless | EMG and Movement Analysis
MP160 with AcqKnowledge plus BioNomadix wireless EMG & disposable cloth electrodes
Mobita
BioNomadix Logger
MP160 System
Basic principles of physiological data collection covers fundamentals of data collection and equipment configuration equipment to help you refine experiment protocols and avoid costly missteps. Frazer Findlay, CEO of BIOPAC, discusses common mistakes with physiology recording and shares his secrets for collecting great data. Topics include: How to prep a subject and where to place electrodes; Which type of electrodes work for different body signals; Analog to Digital Conversion; Sample rates (correct vs. incorrect); Filtering; and Scaling and calibration.Watch On Demand Now!
Register NowA System to Measure Physiological Response During Social Interaction in VR Children with Autism Spectrum Disorder (ASD) have a difficult experience in responding to social cues and actions. This pilot study measured the effectiveness of Virtual Reality in creating a social environment for children, measured with a BIOPAC MP Series data acquisition system and Worldviz […]
BIOPAC’s just released Introductory ECG Guide addresses fundamental to advanced concerns to optimize electrocardiography data recording and analysis. Topics include: ECG Complex; Electrical and Mechanical Sequence of a Heartbeat; Systole and Diastole; Configurations for Lead I, Lead II, Lead III, 6-lead ECG, 12-lead ECG, precordial leads; Ventricular Late Potentials (VLPs); ECG Measurement Tools; Automated Analysis Routines […]
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