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BioSensing of Robotic
Arm
Rajul Acharya 14bee097
Rana Shivang 14bee099
Guided by : Prof. Dhara Mehta
The Intersection of
Electrical & Bio-Medical
Review 1
Index
• Bio-Sensors & their Working Principle
• Application of Bio-Sensors in field of Electrical
• EMG
• ECG
• EEG
• Implementation target for Robotic Arm
• Conclusion
Introduction
What are Biosensors?
• It is an analytical device which is used for the detection of analyte which combines
biological component with electrical signals.
• It detects the presence and concentration of specific substances in test solution.
Analyze
Molecular
RecognitionTransducer
Data
Recording
& Display
Bio-
Sensing
Principle
Measurement
Bio
Receptor
Electromyography (EMG) sensor
● Detects muscle activation using electric potential
● Used in medical field for curing neuromuscular disorders for the study of kinesiology
● Surface EMG sensors assess muscle function by recording muscle activity using suitable
electrodes above the skin.
● Intramuscular sensors use monopolar needle approach wherein a fine wire is inserted in the
muscle and the surface electrode is used as a reference.
EMG(V)
Electrocardiogram Sensor (ECG)
• Used to monitor electrical and muscular functions of heart.
• It records electrical pulses generated by heart muscle depolarization which propagate in pulsating electrical
waves to the skin.
• Signal is filtered and amplified for further analysis.
Cardiac parameters of interest
1. Heart Rate (HR): it reflects the complete heart beat from its generation to the beginning
of the next beat expressed in Beats Per Minute (bpm).
2. Inter-Beat Interval (IBI): time interval between the individual beats of the heart,
generally expressed in milliseconds (ms).
3. Heart Rate Variability (HRV): it expresses the variation of IBI from beat to beat. HRV
varies widely at times of stress, emotions etc.
Electroencephalogram (EEG)
- Potential : due to postsynaptic current
- Used for diagnosis of neurological disorder or tumour
- 25 scalp electrodes system (10-20 montage system):
23 active, 1 ref, 1 ground : Cerebral Cortex
- Two types of potential : 10-100 mV
1) Between Active Electrodes
2) Between Active & Ref Electrodes
- Evoked Potentials :V, A, S, M types
Neuron Charge
Action
Depolarization for
sending signal
along Axon
Awake & Resting
Awake & with
mental activity
Sleeping
Deep Sleep
Jack-Box
Electrode
Montage
Selector
Electrode
Test / Calibrate
Amplifier
Hi-pass Low-pass Notch
Filters
Sensitivity
Writer Unit
Chart
Drive
Ink-writing
oscillography
Analog to Digital
Converter
ComputerOscilloscope
Focus for Review: 2
• Acquiring Myo-Ware Sensor: EMG
• Interfacing with Arduino
• Signal processing of EMG in Matlab
• Implementation of controlling motor with EMG sensor
Conclusion

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Bio Sensing Part 1

  • 1. BioSensing of Robotic Arm Rajul Acharya 14bee097 Rana Shivang 14bee099 Guided by : Prof. Dhara Mehta
  • 2. The Intersection of Electrical & Bio-Medical Review 1
  • 3. Index • Bio-Sensors & their Working Principle • Application of Bio-Sensors in field of Electrical • EMG • ECG • EEG • Implementation target for Robotic Arm • Conclusion
  • 4. Introduction What are Biosensors? • It is an analytical device which is used for the detection of analyte which combines biological component with electrical signals. • It detects the presence and concentration of specific substances in test solution.
  • 6. Electromyography (EMG) sensor ● Detects muscle activation using electric potential ● Used in medical field for curing neuromuscular disorders for the study of kinesiology ● Surface EMG sensors assess muscle function by recording muscle activity using suitable electrodes above the skin. ● Intramuscular sensors use monopolar needle approach wherein a fine wire is inserted in the muscle and the surface electrode is used as a reference. EMG(V)
  • 7.
  • 8. Electrocardiogram Sensor (ECG) • Used to monitor electrical and muscular functions of heart. • It records electrical pulses generated by heart muscle depolarization which propagate in pulsating electrical waves to the skin. • Signal is filtered and amplified for further analysis.
  • 9. Cardiac parameters of interest 1. Heart Rate (HR): it reflects the complete heart beat from its generation to the beginning of the next beat expressed in Beats Per Minute (bpm). 2. Inter-Beat Interval (IBI): time interval between the individual beats of the heart, generally expressed in milliseconds (ms). 3. Heart Rate Variability (HRV): it expresses the variation of IBI from beat to beat. HRV varies widely at times of stress, emotions etc.
  • 10. Electroencephalogram (EEG) - Potential : due to postsynaptic current - Used for diagnosis of neurological disorder or tumour - 25 scalp electrodes system (10-20 montage system): 23 active, 1 ref, 1 ground : Cerebral Cortex - Two types of potential : 10-100 mV 1) Between Active Electrodes 2) Between Active & Ref Electrodes - Evoked Potentials :V, A, S, M types
  • 12. Awake & Resting Awake & with mental activity Sleeping Deep Sleep
  • 13. Jack-Box Electrode Montage Selector Electrode Test / Calibrate Amplifier Hi-pass Low-pass Notch Filters Sensitivity Writer Unit Chart Drive Ink-writing oscillography Analog to Digital Converter ComputerOscilloscope
  • 14. Focus for Review: 2 • Acquiring Myo-Ware Sensor: EMG • Interfacing with Arduino • Signal processing of EMG in Matlab • Implementation of controlling motor with EMG sensor
  • 15.