Tech Bundle

AI In Healthcare

Artificial Intelligence (AI) in healthcare explores the AI systems which can be consisted of sensors, AI hardware and AI software. Sensors explore detection tools that integrated with AI system to diagnose and monitor one’s health. AI Hardware explores the chipset design and architecture, rather than algorithms, to achieve the next big breakthrough in AI. AI software explores computer program which mimics human behaviour by learning various data patterns and insights. Shaped by the AI systems, AI-powered technologies and its applications, such as personalized implants, AI-assisted personalized rehabilitation, AI-assisted robotic surgery, wireless body sensor networks and AI-powered assistive technologies may soon become a reality.

Non-drug Chronic Pain Management System using Brain Computer Interface (BCI)
Chronic pain, defined as persistent pain lasting more than three months is a significant healthcare burden that is difficult and costly to treat. The central pain treatment option is primary drug based that include the use of opioids, anticonvulsants, and anti-inflammatory agents, which are costly with relatively low success rates. More importantly, these options share the shortcomings of potentially serious adverse side effects, complications and cause dependency in the users. Research has shown that chronic pain not only affects the central nervous system (CNS) but also arise from CNS dysfunction. It has been hypothesised that directly manipulating brain regions could improve pain modulatory systems and thereby reverse the abnormalities in the CNS. As a whole, the two most prominent problems facing existing management of chronic pain is the lack of an objective way to detect pain and the lack of a non-invasive and affordable method to treat the CNS in the handling of pain. A Brain Computer Interface (BCI) based chronic pain management system was used to developed a pain neuromatrix modelling and decoding system to identify pain signature through correlating the electroencephalogram (EEG) signal to pain episodes. Thereafter, the technology owner developed a closed-loop sensing and neural feedback mechanism using joint attention and pain neuromatrix activity monitoring and stimulation to help chronic pain patients. The technology owner is looking for potential commercial partners to productise this medical technology and obtain relevant regulatory approval.
Wireless e-Textiles
Wireless networks of wearable devices have so far been limited by challenges in the radiative loss, interference, and data security that are inherent to the use of radio-wave radiation for interconnection. Despite promising advances in advanced communication circuits and protocols, such wireless networks have not yet been widely adopted owing primarily to energy constraints and limited sensor lifetimes.  The technology describes a method to confine radio-waves onto clothing patterned with conductive textiles. Wireless signals transmitted near these patterns, referred to as “metamaterial textiles”, propagate along the surface of the textile rather than into the surrounding space. Moreover, the geometry of the metamaterial textiles can be modified to direct the propagation of radio-waves and to implement passive devices for applications in energy transfer, sensing, and signal processing.
Non-intrusive Echolocation System for Visually Impaired People
We have designed an assistive device for visually impaired or blind people to fully navigate in open space (indoor and outdoor) without external assistance. Our device emits a specific frequency sound click, which will then reflect from the surrounding objects and obstacles. Then, our device will translate the reflected sound into information on their shape, material and distance to them. After that, the returning echo activates the visual processing area in the brain of trained echolocator. Our technology solves the problem of orientation and recognition of objects by blind citizens on the street and indoors. It allows blind citizens to fully realize their opportunities for the benefit of society and solves the problem of employment of this category of citizens and their satisfaction with life.
Wearable High Accuracy Non Optical Movement Analyzer with Real Time Data
This innovation provides an easy to use, accurate wearable motion tracking and digitalization technology. Healthcare, sport, work, and in basically every field objective data acquisition and its comparison to reliable data from other sources is required to make the right decisions. The proposed product brings the essence of digitized motion, which is needed for next generation movement-based applications.
Label-Free and Real-Time Nanosensor
We have developed a broadband ultra-sensitive infrared (IR) sensor with novel folded gold nanoantenna sensing array on calcium fluoride (CaF2) substrate integrated with microfluidic channel, which will allow continuous monitoring wideband fingerprint IR absorption of liquid and solution using enhancement of plasmonic nanoantenna. The broadband detection window achieved is over 10 times larger than single nanorod antenna array, which pave the way to real-time fingerprint monitoring and various molecular recognition. Our device can be applied on label-free and real-time sensing of gas, liquid as well as biomolecules for various applications such as environmental monitoring, healthcare, and clinical diagnosis.
Conformable, Soft Tactile Sensor for Wearables and Smart Electronic Skin Applications
This technology offer is a soft tactile sensor with low operation voltage and ultralow power consumption, intended for use in robotic devices, human-machine interactions and health monitoring devices. This flexible tactile sensor uses low-cost printing processes and is adaptable on any active surfaces. The technology is also amenable to fabrication of flexible, large area sensor arrays as well as high density, high spatial resolution active matrix tactile sensors.
Supersensitive Iontronic Electronic Skin
This technology is related to supersensitive iontronic electronic skin material. Specifically, the technology is related to supersensitive iontronic electronic skin material with implanted artificial tactile cells, which can control effective ion concentration and change capacitance based on physical changes followed by the implementation of hydrogen bond based reversible ion confinement effect. 
Convolutional Neural Network (CNN) Quantization Flow for Edge Computing & Embedded AI
This software package deploys an ultra-low loss quantization method that provides Convolutional Neural Network (CNN) quantization schemes based on comprehensive quantitative weight data analysis. This software package compresses the large size of CNN models to be friendly to smaller devices such as low-end edge-based systems or embedded systems. It is attractive to companies that provide computer vision and/or Artificial Intelligence (AI) full stack products.
Accurate, Non-invasive, Wearable Solution for Core Body Temperature Measurements
Core body temperature is an important vital sign indicating the health status of a person. This technology offer is a wearable core body temperature sensor for continuous and non-invasive measurements. The miniaturized sensor is ideal for the integration into wearable devices and med-tech/health-tech devices with skin contact. Both stand-alone solution and integrated circuit (IC) level solutions are available.