This 8-channel biosignalsplux tool-kit was designed for high-quality biosignal acquisition applications. It comes with 8 professional sensors of your choice to fit as best as possible to your research applications and offers up to ~10h of wireless, continuous signal streaming at up to 3000Hz sampling rate and 16-bit resolution per channel while recording data from all 8 sensors simultaneously.
Alternatively, its 16GB internal memory offers the possibility to store up to ~200h of signal data during offline acquisitions without having the need for a constant Bluetooth connection with your computer. Due to its compact design, biosignalsplux can even be used for signal acquisition in dynamic conditions.
The synchronization kit which comes with this kit allows you to connect up to 3x 8-channel biosignalsplux devices to acquire signals from up to 24-channels synchronously. Additionally, this kit comes with all available OpenSignals (r)evolution software add-ons which provide you both real-time and post-processing algorithms to extract important and meaningful information from your signals for further analysis purposes.
|Analog ports||8 generic inputs|
|Auxiliary ports||1 ground & 1 digital I/O|
|Resolution||Up to 16-bit (per channel)|
|Sampling rate||Up to 3kHz (per channel)|
|Communication||Bluetooth Class II|
|Range||Up to ~10m|
|Battery life||~10h streaming; ~24h logging|
|Weight||45g (without sensors)|
The biosignalsplux Professional kit comes with up to 8 Professional Sensors of your choice. See the list below to find out which sensors you can choose.
Extend the capabilities of your biosignalsplux kit with these extra sensors.
The biosignalsplux Professional includes the following add-ons for our OpenSignals (r)evolution software.
The Heart Rate Variability (HRV) add-on is designed to process Electrocardiography (ECG) and Blood Volume Pulse (BVP) sensor data and to extract Beat-to-Beat interval series from which temporal, spectral, and nonlinear HRV parameters are computed. All the algorithms were implemented according to the "Standards of Measurement, Physiological Interpretation, and Clinical Use" devised by the joint European Society of Cardiology and North American Society of Pacing Electrophysiology task force.
This add-on is designed to extract useful statistical temporal and spectral information from electromyography data acquired with the Electromyography (EMG) sensor. Its automatic onset detection algorithm is designed to detect muscle activations in the EMG signal, allowing the user to select and derive activation-specific parameters for further analysis of the EMG signal. The onset detection algorithm can be fine-tuned for application-specific muscle activation detection by defining the frequency ranges of interest using the available low pass, high pass, and band pass filters.Find Out More
This add-on is designed to process EDA signals acquired using the biosignalsplux EDA sensor (also commonly known as Galvanic Skin Response (GSR) sensor) to compute statistical temporal parameters and signal power estimations in the frequency domain from event-related phasic features. Electrodermal responses are phasic changes of the electrical properties of the skin (e.g. conductance) caused by alterations in the sweat secretion and sweat gland activity as the result of changing sympathetic nervous system activation.Find Out More
The Respiration Analysis add-on for the OpenSignals (r)evolution software is the ideal software extension for the biosignalsplux Piezo-Electric Respiration (PZT) and Inductive Respiration (RIP) sensors. It is designed to extract temporal and spectral parameters to provide useful information about the breathing dynamics, such as respiratory rate, amplitude parameters, and basic spectral analysis.Find Out More
The Muscle Load Analysis add-on is designed for online (during the acquisition) and offline (post-processing) evaluation of muscular load in ergonomics, biomechanics, and sports research applications, and is the ideal software extension for the biosignalsplux Electromyography (EMG) sensor. It measures the muscular load that muscles are subjected during a period or task (e.g. during a normal work day or work process) according to Jonsson’s method of Amplitude Probability Distribution Analysis (APDA) of acquired EMG signals.Find Out More
The Video Synchronization add-on for the OpenSignals (r)evolution software is the ideal software extension for the synchronization of video and biosignal acquisitions. Multimodal data acquisitions in a variety of research fields include video recording setups as complementary data to the acquired biosignals.Find Out More