2010 - Fellow of the Indian National Academy of Engineering (INAE)
2009 - Fellow of the American Association for the Advancement of Science (AAAS)
2009 - IEEE Fellow For contributions to biomedical signal modeling and processing
Metin Akay mostly deals with Speech recognition, Heart sounds, Coronary artery disease, Wavelet transform and Internal medicine. His Speech recognition research is multidisciplinary, incorporating perspectives in Neurophysiology, Signal processing, Algorithm, Biomedical signal and Wavelet. Metin Akay works mostly in the field of Signal processing, limiting it down to concerns involving Time–frequency analysis and, occasionally, Electronic engineering and Accuracy and precision.
Within the field of Pattern recognition and Artificial intelligence Metin Akay studies Wavelet. His Heart sounds research is multidisciplinary, incorporating elements of Coronary arteries and Diastole. His Internal medicine study combines topics from a wide range of disciplines, such as Anesthesia, Bioacoustics, Feature vector and Cardiology.
His primary areas of study are Artificial intelligence, Internal medicine, Cardiology, Neuroscience and Pattern recognition. His Artificial intelligence study frequently links to adjacent areas such as Signal processing. His Wavelet and Wavelet transform study are his primary interests in Pattern recognition.
His research investigates the connection between Wavelet and topics such as Speech recognition that intersect with issues in Time–frequency analysis. His Coronary artery disease research integrates issues from Coronary arteries and Diastole. Metin Akay has included themes like Adaptive filter, Bioacoustics, Angioplasty and Autoregressive model in his Heart sounds study.
Metin Akay mainly investigates Ventral tegmental area, Nicotine, Dopamine, Cancer research and Neuroscience. Metin Akay has researched Nicotine in several fields, including Axon guidance and Regulation of gene expression. The various areas that Metin Akay examines in his Cancer research study include Tumor microenvironment, In vitro, Chemotherapy and In vivo.
His research combines Respiratory system and Neuroscience. His research on Endocrinology and Internal medicine is centered around Dopaminergic. He combines subjects such as Time domain, CAD and Scalp with his study of Internal medicine.
Metin Akay focuses on Ventral tegmental area, Dopamine, Nicotine, Neuroscience and Addiction. His Ventral tegmental area study frequently draws connections to other fields, such as Microarray analysis techniques. His work deals with themes such as Microarray, Patch clamp, Bioinformatics and Gene expression profiling, which intersect with Microarray analysis techniques.
Metin Akay undertakes interdisciplinary study in the fields of Neuroscience and Prenatal nicotine through his works. His research integrates issues of Biological pathway, Reward system, microRNA, Neuroplasticity and Attention deficit hyperactivity disorder in his study of Dopaminergic.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Monitoring Motor Fluctuations in Patients With Parkinson's Disease Using Wearable Sensors
S. Patel;K. Lorincz;R. Hughes;N. Huggins.
international conference of the ieee engineering in medicine and biology society (2009)
Time frequency and wavelets in biomedical signal processing
Time-frequency analysis of myoelectric signals during dynamic contractions: a comparative study
S. Karlsson;Jun Yu;M. Akay.
IEEE Transactions on Biomedical Engineering (2000)
Wiley encyclopedia of biomedical engineering
Intelligent wearable monitor systems and methods
A Novel Approach to Monitor Rehabilitation Outcomes in Stroke Survivors Using Wearable Technology
S. Patel;R. Hughes;T. Hester;J. Stein.
Proceedings of the IEEE (2010)
Noninvasive acoustical detection of coronary artery disease: a comparative study of signal processing methods
Y.M. Akay;M. Akay;W. Welkowitz;J.L. Semmlow.
IEEE Transactions on Biomedical Engineering (1993)
Noninvasive diagnostic system for coronary artery disease
John L. Semmlow;Walter Welkowitz;John Kostis;Metin Akay.
Enhancement of spectral analysis of myoelectric signals during static contractions using wavelet methods
S. Karlsson;Jun Yu;M. Akay.
IEEE Transactions on Biomedical Engineering (1999)
Short-term analysis of heart-rate variability of adapted wavelet transforms
U. Wiklund;M. Akay;U. Niklasson.
IEEE Engineering in Medicine and Biology Magazine (1997)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: