Multi-Modal Biosensing
Navy STTR FY2014A - Topic N14A-T019
ONR - Steve Sullivan -
Opens: March 5, 2014 - Closes: April 9, 2014 6:00am EST

N14A-T019 TITLE: Multi-Modal Biosensing

TECHNOLOGY AREAS: Sensors, Electronics


OBJECTIVE: A compact, low power dynamical system built on an integrated circuit (IC) serving as a common and scalable platform for multi-modal current detection sensing at the 1pA level for Electrocardiogram (ECG), Electroencephalogram (EEG), and Electrodermal Response (EDR) biosignal detection joined with non-contact wearable electrodes. The signal processing will be able to compensate for movement and be useful for medical monitoring to assess a subject's stress, fatigue and resilience.

DESCRIPTION: A set of odd-numbered nonlinear oscillators can work cooperatively to enhance the detection of minute signals that can serve as an ultra-sensitive electrical current detector on an IC with multi-channel capabilities. An array of these oscillators can detect electrical current changes on the order of 1 pA, which will be used as the common platform for simultaneously sensing different types of signals such as magnetic fields, electric fields, along with seismic, acoustic, infrared, and other signature modalities. Derived from this integrated common platform (backbone), a wearable biosensing system which is immune to motion artifacts and muscle noises is to be developed for medical applications and human performance assessments.

PHASE I: Develop a conceptual design of an IC-based dynamical oscillator array including transistor-level simulations to demonstrate electrical current detection with a high enough signal to noise ratio to provide a sensitivity level to allow operation against low-frequency current fluctuations with realistic system noise.

PHASE II: 1. Develop, demonstrate and validate a prototype chip-based system with multiple channels built onto an IC based on the Phase I work. 2. Demonstrate multi-modal signal detections (at least 2 different signal collections). 3. Integrate the IC with contactless electrodes for biosignal detections. 4. Package the biosignal detection system together with electrodes, a power management unit and wireless transceiver, all into a bandage-sized form factor of 2cmX4cm.

PHASE III: 1. Field a wearable biosensors device with the Marine Corps Warfighting Lab to test an integrated system for biosignal data fusion with sufficient precision, analytical capabilities, scalability, and energy efficiency to enable long-term monitoring and robust operation from limited energy supplies. Data will be obtained under a variety of situations, such as sleep deprivation, physically stressful activities, and during sleep. 2. Market the biosignal detections miniature wearable device for EEG, ECG, and Electro-dermal response and data connectivity to a common communication device such as a smart phone.

PRIVATE SECTOR COMMERCIAL POTENTIAL/DUAL-USE APPLICATIONS: A wearable medical data recorder for EEG, ECG, and EDR operable under daily activities.

1. "Coupling-Induced Oscillations in Overdamped Bistable Systems", Visarath In, Adi R. Bulsara, Antonio Palacios, Patrick Longhini, Andy Kho and Joseph D. Neff, Physical Review E 68, 45102 2003).

2. "Complex dynamics in unidirectionally coupled overdamped bistable systems subject to a time-periodic signal", Visarath In, Adi r. Bulsara, Antonio Palacios, Patrick Longhini and Andy Kho Physical Review 72, 45104(R) (2005).

3. "A bistable microelectronic circuit for sensing extremely low electric field", Visarath In, P. Longhini, N. Liu, A. Kho, J. Neff, A. Palacios, A. Bulsara, Journal of Applied Physics 107, 014506 (2010).

4. Mercier, P.P., Chandrakasan, A.P. (2011). A Supply-Rail-Coupled eTextiles Transceiver for Body-Area Networks. IEEE Journal of Solid-State Circuits, 46, (6), 1284-1295.

5. Mercier, P.P., Chandrakasan, A.P. (2013). Rapid Wireless Capacitor Charging using a Multi-Tapped Inductively-Coupled Secondary Coil. IEEE Trans. Circuits and Systems I.

6. Feder, A. Nesler, E.J. & Charney, D.S. (2009). Psychobiology and molecular genetics of resilience, Nature Reviews Neuroscience, 10(6): 446-457.

7. He, B. (1999). Brain electric source imaging: scalp Laplacian mapping and cortical imaging. Critical Reviews in Biomedical Engineering, 27(3-5), 149-188.

KEYWORDS: Multi-modality sensing; physiological signals; coupled oscillators; electric field sensor; wearable biosensors; non-contact electrodes

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