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Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

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Page 1: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Trends in Bioelectric signal analysis

ByDr. Ajat Shatru Arora

Principal, DAVIET, JalandharProfessor, EIE, SLIET, Longowal

Page 2: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Biomedical Engineering Description “Biomedical engineering is a discipline concerned

with the development and manufacture of prostheses, medical devices, diagnostic devices, drugs,, and other therapies. It is a field that combines the expertise of engineering with medical needs for the progress of health care. It is more concerned with biological, safety, and regulatory issues than other forms of engineering. It may be defined as "The application of engineering principles and techniques to the medical field.””-.Wikipedia.org

Page 3: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Challenges in Man-machine Interface

Ethical and human subject protection (externally applied energy interacting with living tissue)

Low rage measurement as compared to non-medical parameters

Many crucial parameter are inaccessible (cardiac output etc.)

Inherent variability ( most parameters vary with time even under similar conditions)

Harsh environment (Corrosive chemicals in body)

High risk of micro shock

Page 4: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Major Segments

Biomedical engineering can be segmented in two major fields

– physiological and industrial automation.

The physiological field concentrates more on measuring, simulating, and analyzing bioelectrical signals as well as modeling body parts and processes. The industrial automation field focuses on the automation of labs and production lines along with the design and testing of medical devices.

Page 5: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Sub-disciplines Bioinstrumentation Biomaterials Biomechanics Biomedical computing & signal processing Cellular, Tissue, and Genetic Engineering Clinical Engineering Medical Imaging Orthopaedic Bioengineering Rehabilitation Engineering Biometrics MEMS Minimally invasive surgery

Page 6: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Bioinstrumentation

The application of electronics and measurement principles to develop devices used in diagnosis and treatment of disease.

A medical device is intended for use in: the diagnosis of disease or other conditions, or in the cure, mitigation, treatment, or

prevention of disease, EXAMPLES are the electrocardiogram, cardiac

pacemaker, blood pressure measurement, hemoglobin oxygen saturation, kidney dialysis, and ventilators

Page 7: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Biomaterials

Describes both living tissue and materials used for implantation.

Choose appropriate material Nontoxic, chemically inert, stable, and

mechanically strong enough to withstand the repeated forces of a lifetime.

Metal alloys, ceramics, polymers, and composites

Page 8: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Biomechanics

Mechanics applied to biological or medical problems

Study of motion, material deformation, flow within the body and in devices, and transport of chemicals across biological and synthetic media and membranes.

EXAMPLES: artificial heart and replacement heart valves, the artificial kidney

Page 9: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Biomedical computing & signal processing

Computers are becoming increasingly important in medical signal processing, from the microprocessor used to do a variety of small tasks in a single-purpose instrument to the extensive computing power needed to process the large amount of information in a medical imaging system

Page 10: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Biomolecular engineering

Design molecules to achieve specific biological function

New drugs or therapeutic strategies for treating disease.

Cell biology, genetics, human physiology, chemistry

EXAMPLES: targeted drug delivery; directed evolution of inhibitors of viral growth

Page 11: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Micro-electromechanical systems (MEMS)

Microtechology and micro scale phenomena is an emerging area of research in biomedical engineering

Many of life's fundamental processes take place on the micro scale

We can engineer systems at the cellular scale to provide new tools for the study of biological processes and miniaturization of many devices, instruments and processes

Page 12: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Minimally invasive medicine & surgery

Uses technology to reduce the debilitating nature of some medical treatments.

Minimally invasive surgery using advanced imaging techniques that precisely locate and diagnose problems

Virtual reality systems that immerse clinicians directly into the procedure reduce the invasiveness of surgical interventions

Page 13: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Medical imaging Medical/Biomedical Imaging is a major segment

of Medical Devices. This area deals with enabling clinicians to directly or indirectly "view" things not visible in plain sight (such as due to their size, and/or location). This can involve utilizing ultrasound, magnetism, UV, other radiology, and other means.

Page 14: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Medical imaging

Imaging technologies are often essential to medical diagnosis, and are typically the most complex equipment found in a hospital including:

Magnetic resonance imaging (MRI) Projection Radiography such as X-rays and CT

scans Tomography Ultrasound Electron Microscopy

Page 15: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Medical ImagingComputers are applied in medical imaging to:

construct an image from measurements.

identify quantitative parameters of clinical interest such as certain distances, densities, etc

improve image quality by image processing, compensate for imperfections in the image-generating system, and reduce noise

Page 16: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Medical Imaging store and retrieve images

reduce the amount of storage required and the transmission time via image compression techniques

indirectly improve patient cares

Page 17: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Implants

An implant is a kind of medical device made to replace and act as a missing biological structure (as compared with a transplant, which indicates transplanted biomedical tissue). The surface of implants that contact the body might be made of a biomedical material such as titanium, silicone or apatite depending on what is the most functional. In some cases implants contain electronics e.g. artificial pacemaker and cochlear implants. Some implants are bioactive, such as subcutaneous drug delivery devices in the form of implantable pills or drug-eluting stents.

Page 18: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Bioelectric Signals

Bioelectrical signal measurements from theheart (electrocardiogram/ECG); muscles (electromyograph/EMG); skin (Galvanic skin response/GSR); scalp (electroencephalograph/EEG); eyes (electrooculogram/EOGThese bioelectrical signals are typically very small in amplitude and

require amplification to accurately record, display and analyze the signals. Depending on the hardware and software used, the biological amplifier serves not only to amplify the signal but also to apply a range of filtering options for the removal of unwanted

signal artifacts.

Page 19: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Importance of Biosignals

Diagnosis

Patient monitoring

Biomedical research

Page 20: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Characteristics of Biosignals Often hidden in a background of other

signals and noise components.

Generated by highly complex and dynamic biological processes with parameters usually more than a few and varying continuously

Page 21: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Issues in biosignal acquisition

Signal ConditioningAmplification,Isolation,Filtering SamplingSelection of sampling rate Selection of Software and Hardware

Page 22: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Signal Conditioning

Page 23: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Amplification

Amplification is the set of techniques used to boost a signal's strength to better match the analog-to-digital converter (ADC) range

Increases the measurement resolution and sensitivity.

Improves the signal-to-noise ratio.

Page 24: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Isolation Isolated signal conditioning devices pass the signal from

its source to the measurement device without a physical connection.

Benefits of isolation include: a). Protection for expensive equipment, the user,

and data from transient voltages b). Improved noise immunity

c). Ground loop removal d). Increased common-mode voltage rejection

Page 25: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Isolation Techniques

Inductive Coupling

Optical Coupling Capacitive Coupling

Page 26: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Multiplexing

Multiplexing is Transmission of multiple signals over a single medium

Page 27: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Filtering Filtering is the process to reject unwanted

noise within a certain frequency range.

All data acquisition applications are subject to some level of 50 or 60 Hz noise picked up from power lines or machinery.

Most signal conditioners include the filters specifically designed to provide maximum rejection of 50 to 60 Hz noise.

Page 28: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Nyquist Sampling Theorem To reconstruct an analog signal waveform

without error from sample point taken at equal time intervals, the sampling frequency (Fs) must be greater than or equal to twice the highest frequency(Fm) component in the analog signal or bandwidth or B.

Fs ≥ 2Fm or B

Nyquist Rate

Page 29: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Sampling of Analog Signal

Page 30: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Sampled Analog Signal

When Fs ≥ 2Fm

Page 31: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

DAQ Hardware DAQ hardware acts as the interface between

the computer and the outside world. It digitizes incoming analog signals so that

the computer can interpret them DAQ hardware includes Analog I/O, Digital I/O Counters/Timers Multifunctional:- combination of analog, digital,

and counter operations on a single device.

Page 32: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Driver Software Basic driver software allows us to:

a). Bring data on to and get data off of the board.b). Control the rate at which data is acquired.

c). Integrate the DAQ hardware with computer resources such as processor interrupts,

DMA and memory.d). Integrate the DAQ hardware with signal

conditioning hardware.e). Access multiple subsystems on a given

DAQ. f). Access multiple DAQ boards

Page 33: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Biosignal Processing In order to derive the required information from

the bio signals:

-Disturbance should be filtered out

-The amount of data should be reduced by discriminating only the most significant ones related with the required information

Page 34: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Stages of Biosignal Processing Signal acquisition

Transformation and reduction of the signals

Computation of signal parameters that are diagnostically significant

Interpretation or classification of the signals

Page 35: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Stages of Biosignal ProcessingSignal transformation Noise component:

due to the electronics in the measuring device,

artifacts related to the patient’s movements, or

other background signals recorded simultaneously

More data than actually needed to derive parameters offering semantic information

Page 36: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Stages of Biosignal Processing

Parameter selection

Usually, relevant information is not the direct result of a sample or recording of a signal.

Parameters bearing resemblance to the signs and symptoms that are used to make diagnosis are extracted from the signal.

Page 37: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Stages of Biosignal Processing

Signal classification

the interpretation stage

derived features of selected relevant parameters used for human or computer-assisted decision making by means of decision support methods

Page 38: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Application Areas of Biosignal Analysis in ICUs

integrating signals from multiple sources presenting information in the most

appropriate form interpreting variations over prolonged time

periods learning and recognizing profiles triggering “intelligent” alarms

Page 39: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Application Areas of Biosignal Analysis

Biosignals offer parameters that support medical decision making and trend analysis.

Bio signal analysis techniques help to extract these parameters accurately, analyze and interpret them objectively.

Page 40: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Biomedical Instrumentation

Biomedical instrumentation contributes in following ways

Accurate measurement Long Term monitoring Understanding, Diagnosis and

management of disease Research

Page 41: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Biometrics

Automated methods of verifying the identity of a person based on physiological behavioral characteristics

Page 42: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Types of Biometrics

Page 43: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Biometric System

Page 44: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Salient Features of Biometrics Biometric makes use of those characteristics,

which are universal, that is, found in each and every human being. For instance, fingerprints, voice, face print and so on.

Distinct body odours, handwriting skills and other attributes are being included in biometrics analysis, as these characteristics don’t change with growing age of individuals.

Page 45: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Salient Features of Biometrics The characteristics involved in biometrics

analysis can’t be stolen or copied. So, you can’t expect anyone to steal your face or eye vessels to use them for illegitimate access.

Interestingly, even if someone is able to replicate your fingerprints and use it for biometrics analysis, these systems can instantly differentiate between a human body and a plastic cast, on the basis of body heat, temperature, blood flow and so on.

Page 46: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Applications of Biometrics Biometric systems can be used as physical

access granting systems. The biometric identifier serves as the key to open doors to buildings and vehicles or to gain access to computers and other devices.

Secondly, biometric systems can be used to establish entitlement to services and rights that are restricted to a certain group of individuals. In this case, the service or right in question is only provided or granted to individuals that are identified as

Page 47: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Applications of Biometricsbelonging to the group of recipients and rights

holders. Examples include social services (prevention of welfare fraud), the right to vote (voter registration), right of abode and work (immigration), and all kinds of private membership services or contractual rights.

Biometric systems can be used for the recording and association of facts. Such uses include employee attendance monitoring, surveillance of public places, forensics, archiving and retrieving personal information such as health records.

Page 48: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Bio-Electric Signal Processing Lab

48

Applications of EMG

Page 49: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Bio-Electric Signal Processing Lab

49

Applications of EMG in Ergonomics

► ANALYSIS OF DESIGN.

► RISK PREVENTION.

► ERGONOMIC DESIGN.

► PRODUCT CERTIFICATION.

Page 50: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Bio-Electric Signal Processing Lab

50

Applications of EMG in Ergonomics

Page 51: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Bio-Electric Signal Processing Lab

51

Applications of EMG in Ergonomics

Page 52: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Bio-Electric Signal Processing Lab

52

Applications of EMG in Medical Research

►EMG helps to improve the medical research studies by detecting activity levels in muscles and quickly identifying muscle dysfunction.

Page 53: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Bio-Electric Signal Processing Lab

53

Applications of EMG in Medical Research

►FUNCTIONAL NEUROLOGY

►GAIT AND POSTURE ANALYSIS

►PROSTHETIC DEVICES

►ORTHOPEDICS

►SURGERY

Page 54: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Bio-Electric Signal Processing Lab

54

Applications of EMG in Medical Research

(FUNCTIONAL NEUROLOGY)

Page 55: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Bio-Electric Signal Processing Lab

55

Applications of EMG in Medical Research

(GAIT AND POSTURE ANALYSIS)

Page 56: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Bio-Electric Signal Processing Lab

56

EMG For A Robotic Hand Figure shows the

highly integrated approach to to use EMG recording of the human lower arm in order to control the opening and closing of three fingers of the hand.

Page 57: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Bio-Electric Signal Processing Lab

57

EMG Signal To Grasp Objects The EMG interface

can be well used to grasp objects.

Since no force feedback is possible using this interface, the patient can use her visual feedback to interact with the object via the prosthetic hand.

Page 58: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Bio-Electric Signal Processing Lab

58

Applications of EMG in Medical Research

(PROSTHETIC DEVICES)

Page 59: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Bio-Electric Signal Processing Lab

59

EMG For Repetitive Strain Injury Electromyography (EMG)

is commonly used for investigating musculoskeletal disorders

To study muscle activation at the motor unit level through multi-channel EMG in order to develop diagnosis and training methods for muscle activation impairments.

Page 60: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Bio-Electric Signal Processing Lab

60

EMG Biofeedback : Treatment Of Tension Headache

Tension headache is generally described as a bilateral dull ache, pressure or cap-like pain that is usually located in the forehead, neck and shoulder regions.

Page 61: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Bio-Electric Signal Processing Lab

61

Applications of EMG in Sports Science

(BIOMECHANICS)

► Biomechanics is the scientific study of forces and the effects of those forces on and within the human body.

Page 62: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Bio-Electric Signal Processing Lab

62

Applications of EMG in Sports Science

(MOVEMENT ANALYSIS)

► Monitor how muscles are utilized during movement.

Page 63: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Micro/Nano applied to BME

Page 64: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Micro/Nano applied to BME

Bal

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Stent Procedure

http://www.mdmercy.com/vascular/discoveries/balloon_stent_gif_big.html

http://www.med.umich.edu/1libr/aha/aha_dilation_art.htm

Balloon Angioplasty

Page 65: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Examples

Page 66: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

SLIET, Longowal

Automation in Biomedical

Page 67: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Electroencephalography (EEG) Interpretation and Automated Anesthesia Delivery

Aspect Medical Systems (Natick, MA) has developed monitors to assess the depth of the anesthesia state based on the statistically derived Bispectral Index (BIS) reflecting the level of sedation. Community Hospitals Indianapolis is successfully employing the BIS monitor to improve the administration of anesthesia during surgery and has found that this technology contributes to improved patient care and reduced costs. The Automated BIS Controller, in development at the University of Pittsburgh Medical Center, controls the rate of anesthetic drug infusion using the BIS as a feedback control.

Page 68: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

SLIET, Longowal

Fuzzy Support Vector Machine for EMG Pattern Recognition and Myoelectrical Prosthesis Control

For the optional control to the trans-femoral prosthesis and natural gait, an ongoing investigation of lower limb prosthesis model with myoelectrical control was presented. In this research, the surface electromyographic signals of lower limb were extracted to be switch signal, and translate into movement information. Considering every muscle’s different physiologic tendency, fuzzy support vector regression method was applied to establish an intelligent black box that can interpret the physiological signals to accurate information of knee joint angle. It achieves a comparable or better performance than other methods, and provides a more native gait to the prosthesis user.

Page 69: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

QUESTIONS ?

Page 70: Trends in Bioelectric signal analysis By Dr. Ajat Shatru Arora Principal, DAVIET, Jalandhar Professor, EIE, SLIET, Longowal

Thanks