BIOPAC® Systems, Inc. Logo

BSL ANALYSIS – Student RSD Download

BSL Analysis downloads provide a “Review Saved Data (RSD)” version of the Biopac Student Lab software for students to install on their own computer outside of the lab. BSL Analysis software works without any data acquisition hardware connected and can be installed on multiple computers.

BSL-RSD-Tools

Students can use BSL Analysis software to

BSL Analysis software is a FREE download—just LOGIN or REGISTER to download BSL Analysis.

Current Release – English, Español, Français, or Japanese

Download may take a few minutes and may display as a blank screen based on OS and browser security settings. For instance, Windows 8 and Internet Explorer 10.x. run a number of security checks, which can add several minutes to the download.

If running BSL 4.0, see BSL Analysis Only – 4.0.0-4.0.3 – Win and Mac.

Localized Translations

Localized translations are available in earlier releases, Windows only:

BSL 3.7 RSD

See also: BSL Data Reports

Spotlight On
Camera System - High Frame Rate

Camera System – High Frame Rate

Tightly synchronize high frame rate video—up to 100 FPS—with physiological data recorded with a BIOPAC MP150 Research System Use the High Frame Rate Camera System to capture precise movement activity as a series of video frames (640×480 resolution) in conjunction with other recorded physiological variables.

View All
Latest News

New Citations—VR Muscle Training, Hypertension, & Stem Cell Smile Reconstruction

Virtual Reality Muscle Training in Stroke Patients: Muscle weakening of the lower extremities has a significant correlation with loss of balance and walking ability in stroke patients. Researchers at Sehan University studied the effect of a virtual reality-based eccentric training program on lower extremity muscle activation and balance for rehabilitation of stroke patients. BIOPAC’s EMG100C surface […]

New Citations—ECG Personal Identification, Cognitive Decline and Exercise, & Mechanical Impulses

Personal Identification: Researchers from Yonsei University recently performed a study testing the viability of using ECG signals for individual identification, much like a password or key. Their study investigated experiments that recorded ECG after exercise and estimated the recognition potential of these signals. ECG was measured from subjects using the BIOPAC MP150 data acquisition system […]

Read All
Request a Demonstration
Request a Demonstration