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A17 Frog Heart Intracellular Action Potentials

This BSL PRO lesson examines and records action potential from cardiac tissue in an amphibian. The lesson procedure and template were developed for BSL 4.0.1 or above.

Experimental Objectives

  1. To make an intracellular electrical recording in cardiac tissue.
  2. To observe and understand the electrical properties of myocardial cells in the vertebrate heart.
  3. To develop an understanding of the ionic basis of the electrical signals in cardiac tissue.
  4. To study the effects of pharmacological probes on the cardiac action potential.

Tasks Performed by the Student

Videos

Biopac Student Lab Student Download

Student Prep & Distance Learning

Click the link(s) below for sample data and/or lesson procedure video(s), BSL PRO Lesson procedures (PDF) for human lessons*, and graph template files (*.gtl) for BSL PRO Lessons. If more than one .gtl is available, download the .gtl with the _suffix to match BSL version and hardware.

Lesson Hardware

This lesson requires a Biopac Student Lab (BSL) System and the following hardware. If your BSL System does not include all hardware items, expand your system by selecting required items below. For more details, review the Lesson: L# BSL Lessons - see the Lab Manual or launch BSL; A# and H# BSL PRO Lessons, click the PDF link above to review full setup, recording, and analysis procedures.

ItemNameCart
SS9LAInput Adapter, Unisolated, BNC - MP36/35 MP46/45Add to Cart
MANIPULATOR-LMicromanipulator, LHAdd to Cart
MANIPULATOR-RMicromanipulator, RHAdd to Cart
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Bioimpedance and Cardiac Output with TREV—a User-friendly, Noninvasive Technique

Learn a technique—Trans-radial Electrical Bioimpedance Velocimetry (TREV)—that is more user-friendly and less invasive than the transthoracic method. TREV measures blood movement in the radial and ulnar arteries of the forearm via bioimpedance.
Topics Covered:
– Presentation and discussion of TREV
– Derived Indices Relevant to TREV
– Hardware setup
– Participant setup
– Recognizing good quality and bad quality data
– Demonstration with the grip anticipation test
– Review of results from other tests

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