We are working on the following wearable devices:
Headset: a portable real-time infrared lids, iris and blink (PRILIB) monitoring system for diagnosis of ocular myasthenia gravis - in collaboration with National University Hospital, Singapore.
Headset: a portable, light weighted pupil tracker to evaluate drowsiness and fatigue - in collaboration with Defense Science Organization, Singapore.
Portable sensor: a self-calibrated system to measure intraocular pressure for glaucoma patients treatment with drugs - in collaboration with National University Hospital.
Shoe: FreeWalker - a smart insole for continuous foot pressure monitoring and motion tracking - in collaboration with the SeSaMe Center at Interactive Digital Media Institute, Singapore.
We see a compelling opportunity to address the current limitations of medical knowledge in the diagnosis of ptosis mechanisms. Hence we have developed a Portable Real-time Infrared Lids, Iris and Blink (PRILIB) monitoring device, with the primary goal to improve the clinical diagnosis of ptosis, and secondarily for other conditions. We have accomplished a pilot clinical trial and obtained positive results of clinical significance and feedbacks for technology revision. We are improving the PRILIB (e.g. to have wireless data link integrated, two-tier signal processing) and applying it into a larger scale trial in collaboration with ophthalmologists at NUH including Drs. Clement Tan and Stephanie Young, Victor Koh among others.
Eye fatigue is a problem that could cause chronic eye problems, degradation in life quality and accidents which could lead to death (car accidents, work related accidents). We have discovered through trials and analyzing the pupil cycle frequency, that we can preemptively detect the onset of fatigue that could help in alerting a person that he/she needs to rest before slipping into sleep or micro sleep. By recording the pupil using a video recorder and using an image processing algorithm to detect the pupil dilation cycle frequency, we have discovered that there is an increase in power between 0.1 Hz to 1 Hz a few minutes before a person is going to enter sleep or micro sleep. In the future, we will use this discovery and another method of objectifying fatigue to objectively detect the degree of fatigue.
In the current prototype, there are 16 disk shaped pressure sensors inserted inside an insole. Each sensor is connected to a low noise instrumentation amplifier and the amplified/filtered signals are then sampled 1000 times per second. A microcontroller (MCU) has been used for signal processing and interfacing with peripheral circuits (wireless, USB interface, power management circuits, and accelerometer). The data can be stored or wirelessly transmitted to a computer, where the transmission distance is up to 20 meters. Once charged the battery can support continuous operation of more than 8 hours with full bandwidth data transmission.
Collaborators: Clement Tan/Stephanie Young/Hazel Lin/Victor Koh@NUH (clinical needs and trials), and Anthony Tung@SeSaMe (data analytics). Results presented on this webpage are done at NUS-TSS group.