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By analyzing the disadvantages of the traditional KNN using lazy learning that directly classify the data based on the K neighboring classes using the majority voting method, a new Sigmoid weighted classification algorithm WKS (Weighted KNN Based On Sigmoid) was proposed. WKS provides a new method for learning and training, since each training data di ∊ D contributes to the correct classification...
Traditional Chinese Medicine (TCM) symptoms are the basis of the diagnosis and differentiation. Analyzing TCM symptoms is significant for discovering the knowledge of TCM. Different doctors of TCM prefers using different terms for the same symptom, which is not conducive to the standardization of TCM knowledge and hinders the heritage of TCM. This paper presents a solution to structure the symptoms...
Telehealth relies on the ability of Information and Communication Technology (ICT) to maximize the quality of care provided remotely. Remote Patient Monitoring (RPM) is a key part within telehealth that enables patient to use devices to measure vital signs and sends it to a healthcare professional. Patients usually have multiple devices to measure vital signs. Those devices might be manufactured by...
A method for detecting human motion in complex scenarios based on Channel State Information (CSI) is presented. First, the sensitivity of CSI phase information to human motion is explored, especially to the strenuous motion. Through a large number of experiments, the influence of human motion on CSI phase is found out, and the characteristics of signal changes are extracted. The One-class Support...
Respiration rate is considered among the most useful biomedical signals to be observed for it has the potential of reflecting the bare biological status of human body, and by which clinic may detect and analyze symptoms in obstructive pulmonary disease. Measuring the breathing with contact methods seems to be unfriendly to patients and not as accurate as expected. There have been many techniques based...
With the rapid development of hospital information technologies, more and more hospitals build electronic medical record (EMR) systems, which provides a comprehensive source for medical data mining and analysis. Most current EMR systems adopt a mixed structure. On the other hand, most data mining algorithms are designed for highly structured data. In this paper, we study the problem of interesting...
Traditional Chinese Medicine (TCM) symptoms are the basis of the diagnosis and differentiation. Analyzing TCM symptoms is significant for discovering the knowledge of TCM. Different doctors of TCM prefers using different terms for the same symptom, which is not conducive to the standardization of TCM knowledge and hinders the heritage of TCM. This paper presents a solution to structure the symptoms...
Load balancing and energy conservation techniques are one of the important constraints in the design of in wireless sensor network (WSN). Usually, clustering technique helps the network in the minimum utilization of energy that results in enhancing network lifetime. Moreover, various nodes in the multihop network that are near to the base station drain their battery very quickly thus result in creating...
The deployment of Gigabit Apps owing to their high-bandwidth and low-latency nature pushes the limits of today's end-to-end networking, and reveals new bottlenecks at multiple layers of networking, virtualization, application and user experience. In this paper, we use an exemplar smart health related Gigabit App use case viz., PhysicalTherapy-as-a-Service to show how a multi-layer instrumentation...
Some sleep disorders, such as sleep apnea, restless legs syndromes (RLS), and periodic limb movement disorder (PLMD), require a full-night sleep monitoring for diagnosis. Conventional sleep monitoring devices are disturbing and inconvenient for daily scene applications. In this poster paper, we propose a sleep monitoring system by embedding RFID tags into bed cloth and realize two main functions:...
Respiration rate plays an important role in human health monitoring. Traditional respiration rate monitoring techniques usually require users to wear some special equipment, which is not convenient for the elderly and the baby. Recently, Wi-Fi based respiration detection technique has attracted much attention due to its device-free and low-deployment-cost. However, most existing studies focus on respiration...
We investigate the differentiation of cold and heat syndromes in Traditional Chinese Medicine with a special concern on the issue of data imbalance. Data imbalance occurs frequently in syndrome differentiation. In this study, we use a neural network classifier, fastText, to differentiate cold and heat syndromes, which have skewed distributions in the medical records and in the population. We investigate...
Lack of healthcare infrastructure has caused millions of deaths in developing countries. People in such countries generally suffer from infectious diseases and are denied treatment at appropriate time or not warned about emerging epidemics. This mainly happens because of poor establishment of public health services, lack of access to health statistics and nonexistence of precise medical data. The...
Currently, the demand on portable medical electronic systems are increasing, for they provide services and information to both patients and doctors that the traditional medical methods cannot achieve. However, the development of portable medical electronic systems has many limitations, i.e., one has to find a sweet spot among performance, power consumption, size, and cost. For instance, if one only...
Wearable and mobile medical devices provide efficient, comfortable, and economic health monitoring, having a wide range of applications from daily to clinical scenarios. Health data security becomes a critically important issue. Electrocardiogram (ECG) has proven to be a potential biometric in human recognition over the past decade. Unlike conventional authentication methods using passwords, fingerprints,...
Objective evaluation method for stress level analysis is important for disease prevention, health promotion, and improvement of quality of life. The past few years witnessed rapid progress in wearable health devices. Recently, many wearable devices are capable of measuring pulse rate (PR) data that reflect stress level. The rise of these wearable devices brings exciting possibilities of monitoring...
Contrary information is recorded in the process of Ribonucleic Acid transcription, which is similar to the anti-synchronization process. In this paper, the anti-synchronization of coupled Boolean networks is investigated. Firstly, the definition of anti-synchronization is introduced, and the drive-response Boolean networks dynamics are translated into linear representations with the semi-tensor product...
Combine the visual module with the Delta parallel robot to set up the sorting experiment platform based on visual technology. Matching results are sensitive to environmental interference. In order to eliminate the influence such as illumination and noise on matching process, the traditional grayscale features are replaced by edge features. The advantages of using edge features are that the edge contains...
After the publication of the extended abstract above [1] as part of a long-term project [2-6], it has come to our attention that, although properly presented in oral communication section in the IEEE Healthcom 2014 Conference, some relevant information were inadvertently omitted/incorrectly inserted in the online version of the study. To avoid any further misinterpretations concerning data and for...
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