Biosensors and Biomedical Signals

Recommended Prerequisites

Knowledge of Physics I and II, Analytical Chemistry, Organic Chemistry, Biochemistry, Electromagnetism, Analysis and Processing of Signals, Programming (Matlab) at the level of 1st cycle of studies.

Teaching Methods

Theoretical/Practical classes.

Seminars (mandatory).

Laboratory work and small experimental projects related to the lectured subjects.

Learning Outcomes

Development of biosensor devices for identification of specific compounds in important areas as health, environment, food industry and others.

To know the features of the main physiological and environmental transducers and their applications

To know the methods for detection, measurement and recording of biomedical signals.

To know the methods for biomedical signal analysis.

To know the main application areas in biomedicine.

 

- Biomedical signals acquisition using a data acquisition system.

- Acquisition setup: sampling frequency as function of signal bandwidth.

- Design digital filters both in time- and frequency-domain.

- To know event detection methods.

- Frequency domain characterization of signals and systems.

Work Placement(s)

No

Syllabus

Introduction to biosensors.

Analytical performance (selectivity, sensitivity, reproducibility; limit of detection and response time).

Biorecognition element: kind; immobilization.

Materials and surfaces for integration.

Signal transduction (electrochemical optical, piezoelectric, calorimetric and field-effect transistor).

Applications (includes wearables, implants and microneedles).

Transducers. Performance factors. In vitro and in vivo monitoring. Lab-on-a-chip

Biosensors stability. The evolution of the glucose biosensor. Last generation biosensors. Future prospects.

Biomedical signals. Nature and features.

Physical principles of direct sensors. Static and dynamic parameters of instrumentation.

Analysis of concurrent, coupled and correlated processes.

Interference and noise. Filtering. Sampling. Quantization and aliasing errors.

Optimal Filtering: The Wiener filter. Adaptive filtering.

Event detection and waveform analysis

Frequency domain characterization of signals and systems.

Head Lecturer(s)

Jorge Afonso Cardoso Landeck

Assessment Methods

Assessment
Exam: 50.0%
Laboratory work or Field work: 50.0%

Bibliography

Introduction to Biosensors, From Electric Circuits to Immunosensors, Second Edition, Ed. Jeong-Yeol Yoon, Springer, 2016.

Biosensors and Bioelectronics, Ed. Chandran Karunakaran, Kalpana Bhargava, Robson Benjamin, Elsevier, 2015.

Biosensors, a practical approach, Ed. Jonathan Cooper and Anthony Cass, Oxford University Press, 2004.

Biosensors and biodetection, Methods and Protocols, Ed. Ben Prickril and Avraham Rasooly, Humana Press, 2017.

Biosensors, E.Hall

Biomedical signal analysis : a case study approach. Rangaraj M. Rangayyan. IEEE Press, Wiley Interscience, 2nd edition: 2009.

Medical Instrumentation: Application and Design, 4rd Edition, John G. Webster (Editor).

John Wiley and Sons Ltd, 2009.

Artigos científicos recentes relacionados com os temas leccionados/ Recent scientific papers related to the lectured topics.