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Browse Category: Sensors & Instrumentation > Medical


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Platform for predicting a compound’s cardioactivity

The invention is a platform that combines a screening system and machine learning algorithms to investigate and report the cardio-activity related information of a certain compound. Through screening cardiac tissue strips, the platform determines whether a compound is cardio-active or not, as well as the associated cardio-active mechanism based on a drug library that is automatically developed. Such information is crucial for the drug development process, especially for evidence based decisions.

Electrode Agnostic, Supply Variant Stimulation Engine For Implantable Neural Stimulation

UCLA researchers in the Department of Electrical Engineering have invented an innovative universal agnostic electrode for implantable neural stimulation and sensing.

Load Adaptive, Reconfigurable Active Rectifier for Multiple Input Multple Output (MIMO) Implant Power Management

UCLA researchers in the Department of Electrical Engineering have invented a novel full-fledged implant power management unit, which is highly programmable and can process multiple input power deliveries on-chip.

A High Dynamic-Range Sensing Front-End For Neural Signal Recording Systems

UCLA researchers in the Department of Electrical Engineering have invented a novel neural recording chopper amplifier for neuromodulation systems that can simultaneously record and stimulate.

A Wearable Multimodal Biosensing And Eye-Tracking System

The current usage of bio-sensors is pretty much restricted to laboratory environments for experimental data collection due to the state of art of the technology. There is no robust yet comfortable system that could be used for data collection in mobile settings or has applications in real-world environments. Traditional bio-sensing systems are costly, bulky and not designed for comfort or ease-of-use, so they are not practical for real-world studies. Additionally, the bio-sensors have to be usually assembled together, which requires more effort in time synchronization and calibration between them.

Automated Noninvasive Periodontal Depth Measurement Using Photoacoustic Imaging

Many people are familiar with the pocket depth measurements that occur in the dentist’s office. The dental technician pokes her periodontal probe into a patient’s gum line to measure how deep the probe will go. This is repeated tooth by tooth until the entire mouth is covered. Although inexpensive, probing depth measurements are error prone and suffer from poor reproducibility, largely due to variation in probing force. Indeed, a recent meta-analysis showed that a range of a variation of 20-fold. Other error sources include variation in the insertion point, probe angulation, the patient’s overall gingival health, and the presence of calculus. Thus, the examination is subject to large errors with inter-operator variation as high as 40%. These error sources can result in poor patient treatment and, hence, poor patient outcomes. This variation also compromises epidemiologic studies and makes it difficult to compare outcomes among dentists or among populations. Given these limitations, new tools are urgently needed to improve this procedure.

An Electro-Optical System with a Computation Model for Scanning Human Body

The invention describes an Electro-Optical instrument and a computational model for functional scanning of human body and recovering its chromophores (water, lipid, oxygenated hemoglobin, and deoxygenated hemoglobin). It is a low cost portable system that integrates frequency domain and continuous wave domain for real time spectroscopic imaging of human tissue.

Novel Vibration Force Sensor with Hepatic Feedback for Minimal Invasive Surgery

Minimally Invasive Surgery (MIS) in the form of laparoscopic surgery has dramatically increased in the last decade and has led to reduced access trauma in addition to providing significant benefits for the patient via better recovery times and cosmetics. Robotic Minimally Invasive Surgery (RMIS) has also increased in popularity. Both methods require haptic feedback (sense of touch) to be successful. Current haptic feedback methods for tele-operated surgical systems involve integrated force sensors that are difficult to miniaturize, non­sterilizable, non­versatile, delicate, and costly. Haptic feedback methods such as displacement sensors and resistive sensors have a variety of shortcomings. When force is applied to the structure, there is strain, thereby, causing the electrical resistance in the strain gauge to change. Both of these methods are not adaptable to the existing endowrist instruments, and require modifications to the endowrist. Moreover, these methods often involve a trade­off between its function in measuring the magnitude and direction of force and its cost in manufacturing; inventions involving these methods are composed of delicate and complex parts dramatically increasing the cost.

Single Fiber-Based Multimodal Biophotonic Imaging and Spectroscopy Platform

Researchers at the University of California, Davis have developed a highly flexible and reconfigurable optical imaging and spectroscopy platform.

The Use of Voltammetry Based Assessment of Neurotransmitters and Metabolites in Vivo

UCLA researchers in the Departments of Medicine, Radiology and Bioengineering have developed novel methods for monitoring cardiac autonomic function in vascular and tissue compartments by measuring neurotransmitters and metabolites in vivo.

Single Ended Draw Lines For Medical Device Application

Minimizing the movement of deployed transcatheter heart valves and stents during detachment using single ended draw lines.

Novel Sensor to Transduce and Digitalize Temperature Utilizing Near-Zero-Power Levels

Temperature sensors are routinely found in devices used to monitor the environment, the human body, industrial equipment, and beyond. In many such applications, the energy available from batteries or the power available from energy harvesters is extremely limited, thus the power consumption of sensing should be minimized in order to maximize operational lifetime.

Portable Breath Sampler for Diagnostic Testing

Researchers at the University of California, Davis have developed a portable, human exhaled breath sample collector for use in breath tests.

Non-Invasive Bladder Volume Sensing Device

Researchers at the University of California, Davis have developed an apparatus and methods for non-invasive bladder volume sensing, to determine when a patient’s bladder is full.

Handled Blood-Flow Imaging Device

The invention is a medical handheld device that carries out skin visual inspection simultaneously with blood flow measurements through integrating a Laser Speckle Imaging (LSI) system within a handheld compact dermoscope. Combining both features in one compact, cheap and easy to use device will generate accurate and elaborative functional data that will improve the accuracy and detection of diseases such as cancer.

Wireless In Situ Sensors in Stents for the Treatment and Monitoring of Chronic Obstructive Lung Disease (COPD)

UCLA researchers in the Department of Electrical Engineering have developed a novel wireless sensor for external and internal biosensing applications.

Exercise Promotion, Measurement, and Monitoring System

UCLA researchers in the Department of Electrical Engineering have developed a novel wireless sensor and exercise system for real-time exercise promotion and monitoring.

Novel Anti-Bacterial, Anti-Fungal Nanopillared Surface

Medical devices are susceptible to contamination by harmful microbes, such as bacteria and fungi, which form biofilms on device surfaces. These biofilms are often resistant to antibiotics and other current treatments, resulting in over 2 million people per year suffering from diseases related to these contaminating microbes. Death rates for many of these diseases are high, often exceeding 50%. Researchers at UCI have developed a novel anti-bacterial and anti-fungal biocomposite that incorporates a nanopillared surface structure that can be applied as a coating to medical devices.

Automated Optical Chest Tube Air Leak Detection System

UCLA researchers in the Department of Surgery have developed an air leak detection system for use in patients requiring chest tube placement.

Fine Needle Device For The Measurement Of Material Properties

UCLA researchers in the Department of Chemistry have developed a device that allows for quantitative and sensitive assessment of tissues (i.e. tumors) and materials based on local variations in elastic, friction, and cutting forces on needle insertion.

Monitor Alarm Fatigue Allevation By SuperAlarms - Predictive Combination Of Alarms

UCLA researchers in the Department of Neurosurgery have developed a method that is capable of mining a collection of monitor alarms to search for specific combinations of encoded monitor alarms to predict certain adverse event, such as in-hospital code blue arrests or other target events.

Simultaneous Corneal Hydration Thickness And Hydration Measurement Through Multi-Spectral Reflectometry

UCLA Researchers in the Department of Bioengineering have developed a novel technology to simultaneously detect changes in thickness and hydration levels of the cornea.

Scanning Method For Uniform, Normal-Incidence Imaging Of Spherical Surface With A Single Beam

UCLA researchers have created a method that achieves uniform normal-incident illumination of a spherical surface by first projecting the sphere onto a Cartesian plane and then raster scanning it using an illuminating beam. This allows the scanned object, the illumination source, and the detector to remain stationary.

Multi-Modal Depth-Resolved Tissue Status Monitor

UCLA researchers in the Department of Bioengineering have invented a novel multi-modal depth-resolved tissue status monitor.

Automated And Unsupervised Method For Electroencephalogram Artifact Minimazation And Rejection

UCLA researchers have developed an automated and unsupervised digital signal processing method to quickly and efficiently minimize and reject artifacts from scalp Electroencephalogram (EEG) and intracranial EEG recordings.

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