Handbook of Neuroengineering

ISBN-13: 9789811655395 / Angielski / Twarda / 2022

Nitish V. Thakor

Spis treści

1.  Neural Sensors and Transducers         

 Neural electrodes (brain, spinal cord, periphery)

Neurochemical sensors

Optogenetic interface

Tissue-engineered interfaces

Ultrasonic interface

Magnetic interface

 

2.  Neural Circuits and Systems     

 Neural amplifiers

Sensing and Manipulation of Brain Neurochemistry

Neural recording and stimulation (bidirectional)

Wireless power/data or neural recording or stimulation circuits

Wireless capacitive/inductive interface

Non-electrical Optogenetic, ultrasonic, magnetic interface

 

3.  Neural Prostheses           

Neural interface and upper limb prosthesis

Neural interface and lower limb prosthesis

Motor prosthesis

Sensory prosthesis

PNS interfaces

Bidirectional Neural prosthesis

 

4.  Brain Computer Interface and Brain Machine Interface      

Brain computer interface (BCI) – noninvasive, nonivasive

BCI algorithms, BCI applications

Brain machine interface (BMI) for locomotion

Brain-Computer Interfaces in Clinical Applications

BMI – sensory prosthesis

BMI – memory and learning, augmentation

 

5.  Neuromorphic Engineering and Neurocomputing     

 Models of neurons, integrate and fire neurons

Spiking network, spike encoding

Neural network circuits

Neuromorphic – touch, vision, auditory

Neuromorphic locomotion (CPG)

Neural computation on neuromorphic hardware

 

 6. Neurorehabilitation and Neurorobotics           

Neuroprosthesis and functional electrical stimulation (peripheral)

Robotic assisted therapy

Telerehabilitation

Virtual reality tools

Augmentative and alternative communication

Human augmentation

 
 7. Neuromodulation           

Peripheral and visceral neuromodulation (models and systems)

Spinal cord stimulation and restoration (models and systems)

Cochlear implants

Bionic vision (retinal prosthesis)

Deep brain stimulation

Optogenetic stimulation

Functional electrical stimulation (FES)

Non-invasive brain stimulation – (TMS, TDCS, FUS)

 

8. Neural Signal Processing           

 Neural Encoding EEG signal processing and applications

Evoked potential signal processing and applications

Diagnosis and localization if epileptic events

Neuromuscular activity

Sleep analysis

 

9. Cognitive Engineering   

 Human brain mapping

EEG mapping

Networks and connectivity

Connectome analysis

Computational brain imaging (physiological networks)

Artificial intelligence

 

10.  Neuroimaging     

  Brain imaging (overview)

-    X-ray, CT, PET

-    MRI, fMRI, dtMRI

EEG mapping

MEG mapping

Neurophotonics

 

 11.  Clinical Neurotechnologies        

 Brain monitoring and diagnostics (EEG)

Brain monitoring and diagnostics (evoked potentials)

Brain monitoring – intensive care unit, operating room

Brain monitoring – epilepsy unit

Mobile and embedded devices

Neurosurgical technologies

 

 12.  Neurotechnologies – Industry, Intellectual Property, Regulatory, Social and Ethical Issues       (TBD)

 Regulatory roadmap for new neurotechnologies

Intellectual property protection

Translating into clinical and industrial outcomes

Clinical and social impact of neurotherapeutics and neuroprosthesis

Ethics of brain monitoring, stimulation, restoration, brain machine-interface

13. Clinical Neurotechnologies

Brain monitoring and diagnostics (EEG)

Brain monitoring and diagnostics (evoked potentials)

Brain monitoring – intensive care unit, operating room

Brain monitoring – epilepsy unit

Mobile and embedded devices

Neurosurgical technologies

 

14. Neurotechnologies – Industry, Intellectual Property, Regulatory, Social and Ethical Issues           (TBD)

Regulatory roadmap for new neurotechnologies

Intellectual property protection

Translating into clinical and industrial outcomes

Clinical and social impact of neurotherapeutics and neuroprosthesis

Ethics of brain monitoring, stimulation, restoration, brain machine-interface

O autorze

Nitish V. Thakor is the Director the Singapore Institute for Neurotechnology (SINAPSE) at the National University of Singapore, as well as Professor of Electrical and Computer Engineering and Biomedical Engineering at NUS. He maintains his position as a Professor of Biomedical Engineering, Electrical and Computer Engineering and Neurology at Johns Hopkins University in the USA. Dr. Thakor’s technical expertise is in the field of Neuroengineering, including neural instrumentation, nuromorphic engineering, neural microsystems, optical imaging of the nervous system, neural control of prosthesis and brain machine interface and cognitive engineering. He has pioneered many technologies for brain monitoring to prosthetic arms and neuroprosthesis. He is an author of more than 290 refereed journal papers, more than a dozen patents, and co-founder of 3 companies. He is currently the Editor in Chief of Medical and Biological Engineering and Computing, and was the Editor in Chief of IEEE TNSRE from 2005-2011 and presently the EIC of Medical and Biological Engineering and Computing. Dr. Thakor is a recipient of a Research Career Development Award from the National Institutes of Health and a Presidential Young Investigator Award from the National Science Foundation, and is a Fellow of the American Institute of Medical and Biological Engineering, IEEE, Founding Fellow of the Biomedical Engineering Society, and Fellow of International Federation of Medical and Biological Engineering. He is a recipient of the award of Technical Excellence in Neuroengineering from IEEE Engineering in Medicine and Biology Society, Distinguished Alumnus Award from Indian Institute of Technology, Bombay, India, and a Centennial Medal from the University of Wisconsin School of Engineering. He has given more than 50 keynotes and plenary talks, and was the Chair of the IEEE Grand Challenges in Life Science Conference in 2013 and will chair IEEE BIOROB conference in Singapore in June 2016 and the Gordon Conference on Advanced Health Informatics in Hong Kong in July 2016​.