Faculty Affiliates
Kofi Odame, PhD
Kofi Odame, PhD
Associate Professor of Engineering, Thayer School of Engineering at Dartmouth
Kofi Odame is an Associate Professor of Electrical Engineering at the Thayer School of Engineering at Dartmouth College. Kofi’s expertise is in custom integrated circuit design, with a focus on low power, high performance mixed signal circuits for nonlinear and neuromorphic signal processing. This work has applications in low-power electronics for implantable and wearable biomedical devices, as well as in autonomous sensor systems. Some of his current projects are: a wearable device for lung function asthma symptom monitoring; a device for ambulatory, non-invasive monitoring of cardiac output; a miniaturized instrument for prostate surgical margin assessment.
Selected Publications
- Amoh J, Odame K. Deep neural networks for identifying cough sounds. IEEE Transactions on Biomedical Circuits and Systems. 2016 Oct; 10(5): p. 1003-1011. doi: 10.1109/TBCAS.2016.2598794. View Source
- Takhti M, Teng Y, Odame K. A high frequency read-out channel for bio-impedance measurement. 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 1514-1517. View Source
- Masoodian S, Rao A, Ma J, Odame K, Fossum ER. A 2.5 pJ/b binary image sensor as a pathfinder for quanta image sensors. IEEE Transactions on Electron Devices. 2016 Jan; 63(1): p. 100-105. doi: 10.1109/TED.2015.2457418. View Source
- Du D, Odame K. A bandwidth-adaptive sensor interface. 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), Atlanta, GA, 2015, p. 1-4. doi: 10.1109/BioCAS.2015.7348304. View Source
- Amoh J, Odame K. DeepCough: A deep convolutional neural network in a wearable cough detection system. 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), Atlanta, GA, 2015, p. 1-4. doi: 10.1109/BioCAS.2015.7348395. View Source
- Rao A, Odame K. Estimating the short-time bandwidth of wheeze sounds. 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), Atlanta, GA, 2015, p. 1-4. doi: 10.1109/BioCAS.2015.7348301. View Source
- Teng Y, Takhti M, Odame K. A power adaptive variable gain instrumentation amplifier for electrical impedance tomography. 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), Atlanta, GA, 2015, p. 1-4. doi: 10.1109/BioCAS.2015.7348306. View Source
- Hanson V, Odame K. Towards a brain-machine system for auditory scene analysis. In: Mukhopadhyay SC, editor. Wearable electronics sensors for safe and healthy living. New York, NY: Springer New York, LLC; 2015. p. 299-320. View Source
- Teng Y, K. Odame K. A 10 MHz 85 dB dynamic range instrumentation amplifier for electrical impedance tomography. 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings, Lausanne, 2014, pp. 632-635. doi: 10.1109/BioCAS.2014.6981805. View Source
- Du D, K. Odame K. A microphone readout interface with 74-dB SNDR. Analog Integr Circ Sig Process. 2014; 81: p. 241–252. https://doi.org/10.1007/s10470-014-0383-0. View Source
- Ou T, Amoh J, Khurana M, Yadav V, Odame K. Mobile system for self-monitoring of asthma. Proc. EMBC '14 IEEE International Conference of the Engineering in Medicine and Biology Society, 2014. View Source
- V. Hanson V, Odame K. Real-time embedded implementation of the binary mask algorithm for hearing prosthetics. IEEE Transactions on Biomedical Circuits and Systems. 2014 Aug; 8(4): p. 465-473. doi: 10.1109/TBCAS.2013.2281728. View Source
- Masoodian S, Odame K, Fossum ER. Low-power readout circuit for quanta image sensors. Electronics Letters, 2014 April 4; 50(8): p. 589-591. View Source
- Amoh J, Odame K. Technologies for developing ambulatory cough monitoring devices. Crit Rev Biomed Eng. 2013;41(6):457-68. PMID: 24940659. View Source
- Murphy EK, Takhti M, Skinner J, Halter RJ, Odame K. Signal-to-noise ratio analysis of a phase-sensitive voltmeter for electrical impedance tomography. IEEE Trans Biomed Circuits Syst. 2017 Apr;11(2):360-369. doi: 10.1109/TBCAS.2016.2601692. PMID: 27849549. View Source