Biomedical Signal Analysis: Introductory

Biomedical Signal Analysis: Introductory

Biomedical Engineering — Signal Processing Fundamentals

Biomedical Signal Analysis: Introductory

Build a working foundation in physiological signal processing — sampling, frequency-domain analysis, and digital filtering — and orient yourself to the regulatory context that governs medical-device software.

BME-540-IIntroductory16 hoursCertificate of Completion

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Biomedical signal analysis — ECG · EEG · EMG
FormatProfessional Certificate Course
LevelIntroductory
Duration16 hours
LanguageEnglish
CertificateCertificate of Completion — Aleph University
Full course trackIntroductory (16 h) + Advanced (32 h) = 48 hours
Prerequisite / Recommended Preparation

No prior Aleph course is required.

Overview

Physiological signals — electrocardiogram (ECG), electroencephalogram (EEG), electromyogram (EMG), respiratory signals, and the photoplethysmographic signals captured by today’s wearable devices — are the raw material of much of modern medical-device development. Behind every cardiac monitor, ambulatory ECG patch, sleep tracker, and pulse oximeter sits an algorithm that acquires, conditions, and interprets a physiological signal. For engineers, software developers, regulatory professionals, and clinical specialists entering the field, the first task is to develop a working vocabulary and a working intuition for how those signals behave.

This 16-hour Professional Certificate Course is the entry point of the Aleph Biomedical Signal Analysis course track. It introduces sampling theory, the Discrete Fourier Transform (DFT) and the Fast Fourier Transform (FFT), the basics of digital filter design, and the publicly available physiological-signal datasets (PhysioNet, MIT-BIH Arrhythmia Database, Sleep-EDF) used as references in the field. The course also orients participants to the regulatory framework that surrounds the deployment of signal-processing algorithms as medical-device software functions — IEC 62304 software lifecycle, the FDA Software as a Medical Device (SaMD) framework, and the FDA Software Functions premarket guidance (June 2023).

The course is designed to prepare participants for the Advanced level (BME-540-A), where the same methods are exercised at applied depth — adaptive filtering, wavelets, QRS detection benchmarking, machine learning, and the FDA AI/ML Predetermined Change Control Plan (PCCP) framework. Together the Introductory and Advanced levels form a 48-hour course track.

What you will learn
Identify the principal physiological-signal modalities (ECG, EEG, EMG, respiratory, photoplethysmographic) and their characteristic amplitude and frequency ranges.
Apply the Nyquist–Shannon sampling theorem to choose a sample rate for a given physiological signal.
Explain quantization, analog-to-digital conversion bit-depth selection, and the signal-to-quantization-noise ratio.
Compute and interpret the Discrete Fourier Transform and the Fast Fourier Transform of a physiological-signal segment.
Distinguish FIR and IIR digital filters at an orientation level and recognize when each is appropriate.
Load and visualize a benchmark physiological-signal record from PhysioNet (for example, MIT-BIH Arrhythmia Database Record 100).
Describe the FDA Software as a Medical Device framework and IEC 62304 software safety classes at orientation depth.
Articulate where the Advanced level extends each of the methods you have been introduced to.
course topics & modules
Professional relevance

The Introductory course establishes the vocabulary, the intuition, and the orientation that the medical-device industry expects of someone entering a signal-processing or SaMD role. Employers in this space include medical-device manufacturers (cardiac rhythm management, neuromonitoring, ambulatory monitoring, wearables), digital-health and consumer-health companies whose products are regulated as SaMD, contract research organizations, and regulatory-affairs consultancies that support clients with software-driven submissions. The Introductory level is the right starting point for professionals whose work touches physiological signals but who do not yet have a working command of the underlying methods.

Certificate of Completion

Participants who meet the course completion requirements receive a Certificate of Completion issued by Aleph University.

Completion of both the Introductory and Advanced levels may be reviewed by Aleph University for potential recognition within an applicable graduate pathway, subject to institutional review and applicable academic policies. Recognition is not automatic and is not guaranteed.
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