BT505 Assignment 1 Solution and Discussion

[zaasmi]

Total Marks 10
Starting Date Wednesday, July 31, 2019
Closing Date Friday, August 02, 2019
Status Open
Question Title Biosignal
Question Description
BT505 – Biosensors

Discussion Question:

“Discuss Biosignal”

Important Instructions:

1. Your discussion must be based on logical facts.

2. Your comments on the topic should not exceed 200-250 words.

3. The GDB will remain open for 4 working days.

4. Do not copy or exchange your answer with other students. Two identical / copied comments will be marked Zero (0) and may damage your grade in the course.

5. Obnoxious or ignoble answer should be strictly avoided.

6. Questions / queries related to the content of the GDB, which may be posted by the students on MDB or via e-mail, will not be replied till the due date of GDB is over.

For Detailed Instructions please see the GDB Announcement.

[zareen]

“Discuss Biosignals”

[zareen]

@zareen said in BT505 GDB1 Solution and discussion:

“Discuss Biosignals”

A biosignal is any signal in living beings that can be continually measured and monitored. The term biosignal is often used to refer to bioelectrical signals, but it may refer to both electrical and non-electrical signals.

Biosignals provide communication between biosystems and are our primary source of information on their behavior. Interpretation and transformation of signals are major topics of this text. Biosignals, like all signals, must be carried by some form of energy. Biosignals can be measured directly from their biological source, but often external energy is used to measure the interaction between the physiological system and external energy. Measuring a biosignal entails converting it to an electric signal using a device known as a biotransducer. The resultant analog signal is often converted to a digital (discrete-time) signal for processing in a computer.

Biosignals and the systems that produce them have several important properties: they can be stationary or nonstationary, linear or nonlinear, and deterministic or stochastic (i.e., random). Biosignals often contain noise, which is an unwanted signal component.

Biosystems modeling is a powerful analytical tool for investigating living systems. Two very different models have been developed to represent physiological systems: analog models and system models. Each representation has different strengths and weaknesses.

The goal of this book is to present the most important and fundamental of the many powerful signal and systems analysis tools available to biomedical engineers.

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