The technology is video-based blood pressure monitoring which will help people know the continuous BP status in real time. Also, the contactless measurement can make a daily health record. We have conducted clinical trials in hospitalsestablished a large database to optimize AI solution. The system joins the physicians＇ specialty to analyze the users＇ health status with AI,takes care of human life with technology.

We develops a precision smart healthcare platform to deliver a comprehensive medical care experience to the elderly by Artificial Intelligence of Things (AIoT) technology. The platform offers health education, community interaction, personal health information,rehabilitation logs. It can be used as a basis for clinical staff to conduct diagnosistreatment. The system development tools use PHP programming languageLaravel framework to develop all arithmetic logic,gradually complete the dynamic association databaseinteractive web page functions.

An IOT sensor was presented to detect human motionvital signs with Wi-Fi signals. It mainly combines MIMO beamforming, injection-locking radarmachine learning techniques to recognizetrack physicalphysiological activities for health status monitoring. As a proof of concept for pandemic prevention, the presented sensor aims to inspect whether someone is exhibiting signssymptoms of COVID-19 infection within the Wi-Fi coverage area, such as fatigue, cough, shortness of breathirregular heart rhythm,even to detect sudden death.

We use features such as asymmetric expression and crooked eyes to assess the risk of facial stroke. Observing the micro vibration of the head caused by the contraction of the heart, and develop a zero-contact facial heart rate and respiration rate detection technology in conjunction with the camera. The technology can accurately measure heart rate and respiration rate in real time, thereby reducing the risk of infection. This technology has obtained two ROC patents (M590433, I689285), two US patents (HEART RATE DETECTION METHOD AND DEVICE THEREOF,MOUTH AND NOSE OCCLUDED DETECTING METHOD AND SYSTEM THEREOF). The possibility of detecting strokes through AI machine learning methods is not only accurate, but also find out signs of stroke early to grasp the best time to seek medical treatment.

The principle of the image-based AFib discriminating system is based on the consistency that irregular cardiac cycles can both be detected on the waveforms of electrocardiographyrPPG. The quantity of the blood varies from time to time is captured by a general camera. Signals from RGB channels are then synthesized through the core algorithm to eliminate noisegenerate stable rPPG signals. The processed signals are then classified as AFibnot by a sample-size model. According to the IRB evaluation in En Chu Kong Hospital, the AFib can be well detected with an accuracy of 97.1.

This technology used special process to enhance the functional ingredients, accelerate the processenhance the safety of black garlic. The bioactive test had confirmed the effect of improving gastrointestinal functionhepatoprotective effect. In the future, it is expected that this technologies will be applied to related industries.

Compared with the isolation areathe outdoor environment, the air pressure isolation channel is a positive pressure environment. It can completely avoid that the unsterilizedfiltered air outside the building will not enter the isolation area,perform regional protection to maintain the cleanliness of the indoor environment.

A methodsystem for managingrecording children health information are provided. The method includes: obtaining children information, using the guidance of health-care,adding the children information into a database of a serverproviding the database for a user to access, modifyprint.

By collecting the changes of kinds of vital signs(including heart beat / blood pressure / steps), we combined the results with the testers’ fatigue scores which belonged to the matched fatigue typestheir basic profiles. We extracted 780 types of structural features sets by cleaning raw data, then separating into training set, validation settesting set. With machine learning algorithm to auto-optimize regression analysis, finally we come out the correlative features between vital signsfatigue ,the overwork model as our deliverables.

This technology multiple research to integrates the developed production system of the "smart integrated production system". Using AI to identify pestsdiseases,identify the high temperature resistant varieties,developed Root temperature control system,using IOT to establish Big data. An adopted robot will be used to assist sprayingharvesting in the future.

The proposed indoor radar sensing system includes two enabling technology, activity recognitionrespiration rate estimation. In the former, the proposed framework consists of four major components: denosing, enhanced voxelization, data augmentation,dual-view machine-learning to lead to accurateefficient human-activity recognition. In the latter, the proposed system leverages the variation of the phase information of a specific frequency bin of the range profiles,proposes a dynamic adaptive respiration waveform filtering algorithm to improve accuracy.

In order to develop an AI model that can accuratelycompletely segment coronary arteries, our team, the TW-CVAI, has established a training dataset composed of strictly verified annotations of coronary lumen boundaries in coronary CT angiography (CCTA). We designed a deep learning model, two-channel 3D-UNet, with a priori prerequisite (vesselness prior) to facilitate identification of vascular structures. The final model, the TaiCAD-Net, greatly shortens the CCTA interpretation time from 6 hours to 10 minutes, with the overall segmentation accuracy of 86 by Dice similarity coefficient.

"1. Apply big datasmart integration technology, extend the high quality healthcare of a medical center to remote areas through the application of modern internetcommunication technologies.establish a systematic service support model. 2. Establish a personal medical record platform for holistic health care based on international medicalhealth data exchange standards. 3. Acquire data through wearable devices, combined with key technologies such as cloud storage, big data analysis,integrate health care Information Network for Telehealth careTelemedicine."

The high-frequency jet ventilator uses the solenoid valve and feedback techniques to control the operational parameters of the ventilator. The proposed dual-mode control mechanism allows dynamic adjustment of the tidal volume, pressure, and duration of ventilation simultaneously. The system has been verified in animal experiments and demonstrated a significant improvement in the gas exchange efficiency. Besides, the bioelectrical impedance measurement can provide real-time and accurate regional information of the lungs, which helps to monitor the patient’s condition during respiratory treatment. This work also adopts wireless communication and remote-control technology to reduce the risk of infection of medical professionals.

BeDIS has the following distinguishing features:1.Is easy to configure, deploymaintain 2.Location accuracyresponse time not affected by crowds 3.Can function without Internet 4.Supports waypoint-based indoor navigation 5.Supports diverse indoor location-based APPsservices

This project aims to incorporate the state-of-the-art InformationCommunication Technologies (ICT), the Internet of Things (IoT), Big Data techniques in linking every aspect of community-based integrated long-term care (LTC), improving the efficiency of care servicesadministrative process,to realize the idea of Aging in Place emphasized in the Long-term Care Policy 2.0 in Taiwan.

This system uses the innovative AIoT application to target annoying scalp maintenance problemsdevelops an intelligent scalp detectionmanagement system. The core of the technology is to use deep learning-based object detection models. Tens of thousands of microscopic image data sets that are labeledtrained for scalp symptoms. As a result, the scalp image recognition module is develop, such as dandruff, hair loss, oil, and inflammation, etc. Hence this system can provide scalp detection, and maintenance effectiveness tracking functions lead scalp maintenance services to a new level of intelligent management.

Current mainstream pharmacotherapy of glaucoma is the delivery of intraocular pressure-lowering medication via topical instillation. But, this dosage form has practical limitations due to well-known ocular barriers to drug transport. For the first time, highly efficient compound eye drop formulation is designed based on the idea of innovative glutathione-functionalized gelling materials. Our biomaterials-based ophthalmic drops can better improve drug bioavailabilityantiglaucoma efficacy than currently marketed eye drops, thereby showing future clinical translational potential.

Based on our long-term accumulated healthy brain image database, we used meta-analysismultivariate analytical algorithms to extract the cognitive biological characteristics of individual subjects. By using machine learning / artificial intelligence algorithms, these features were further calculated for capturing individual cognition according to related brain networks. This biological index could be a potential marker for evaluating individual brain health, cognitive functions,risk for neurodegenerative diseases.

The objective of this project is to develop a portablewireless urine detection systemplatform for prevention of cardiovascular disease. The main idea is to develop a system-on-chip, a microelectrodemicrochannel chip to detect biomarkers concentrations in urine. And then, it will be wirelessly transmitted to a smart application platform to evaluate user’s cardiovascular status.

The self-powered sensing system realizes self-powered wireless wearable pressure sensing modules, self-powered intelligent environment sensing robots,self-powered smart window, which can carry out self-powered sensing signals combined with the transmission of the Internet of Things. Functions such as medical monitoring aidsautomated environmental quality sensing. In the future, this system opens a window towards automatic monitoring of environmental analysispersonal smart healthcare.

This Artificial Intelligence model interprets 12-lead electrocardiograms of adults to diagnose heart failure accuratelyefficiently. It is a fabulous heart failure screening tool that can detect more asymptomatic patients. Our goal is to help patients get early treatmentprevent disease deterioration.

This technology is used micro-electro-mechanical systems combined nanomaterials and micro-heater systems, because the interdisciplinary integrated manufacturing technologies are used to make miniaturized sensor elements, which are equipped with bluetooth functions of algorithms and detection devices to monitor the ketones gas concentration during patient breathing applied in healthy care.

The HeaortaNet is developed by the TW-CVAI team. The HeaortaNet is a deep learning model trained by 70,000 axial images from 200 patients with verified annotations of the pericardiumaorta. It shortens the time for data processing from 60 minutes, by manual segmentation of both pericardiumaorta, to 0.4 seconds. The segmentation accuracy, as assessed by dice similarity coefficient, is 94.8 for the pericardium,91.6 for the aorta. The imaging-based Cardiovascular Risk Prediction module was constructed by analyzing data from the National Health Insurance Databank.

The pseudo-sunlight intelligent rhythm OLED lighting combines lab patents "BrightnessColor Temperature Tunable Light SourceIts Use", "Intelligent Light Source", "Human-friendly Light sourceIts Use""Natural Light Sub-panel Color Mixing Technology". We use OLED lighting panels with different color temperature. Through voltagecurrent control, the color temperature can be changed from 1,500 K to 6,500 K. Besides, we use computer program, time controllerWi-Fi enabling user to remotely controlautomatically control of color temperaturebrightness over time.

The smoke removal device with smart detection has the capability of gas detectionindoor air circulation. The system is internally equipped with a sensing device. If an abnormal PM2.5 valuea high concentration of dangerous gas is detected, the fan can be automatically activated immediately to quickly filter the air,both preventivemonitoring functions can be achieved.

Laser material recognition technologyintelligent color compensation lighting system, with AUV to realize the function of underwater rust detectionimage color restoration, real-time acquisition of rust information through spectral analysisdisplay of true rust color on the image, so that the algorithm can be accurate Determine the health of the cylinder. The vehicle will establish the health information of the wind turbine to help the inspector make the best maintenance strategymaintain the power generation efficiency of the wind turbine in the best condition.

3D digital pathology imagingAI auxiliary diagnosis platform integrates 3D pathology sample preparation, high speed image scanning,intelligent software analysis into a novel system. We have collaborated with clinical pathologists to develop both 3D biopsy pathology imaging workflowthe world first 3D pathology image analysis software MetaLite, along with AI models pathology feature annotationquantitative analysis of solid tumor with high accuracy can be rapidly processed. We have transferred patented technology to start up JelloX Biotech Inc. at NTHU for further operation.

A highly sensitivelinear ultrasonic radar was realized using digital self-injection-locking (SIL) technique. It can remotely monitor the vital signs of a human in motion, which will be demonstrated in this expo by upgrading a low-cost ultrasonic radar for reverse parking to support high-value telemedical applications. In the future it will further combine phased-array technology to implement non-contact 4D ultrasound system, which will bring disruptive innovation to medical technologies.

The novel drug-eluting contact lens is a great substitute for traditional eye drops, which are plagued by problems, such as low drug administration efficiency, discomfort,repeated dosing. Drugs can stay on the eyeball for a sufficient period of time. Patients can have access to treatment in an appropriate state at any time. With these advantages, the novel drug-eluting contact lens is expected to become a new method for the treatment of ophthalmic diseasesfor the recovery of patients after ophthalmic surgery. It has broad application prospects in the treatment of ophthalmic diseases.