婴儿状态监护预警装置设计

婴儿状态监护预警装置是一款能够辅助照顾婴儿的设备,对有婴儿的家庭具有极高的使用价值。该装置由STM32F103C8T6单片机作为主控芯片,连接控制系统、声音检测系统、湿度检测系统和监护预警系统,从而检测并判断婴儿是否啼哭和尿床,并及时向看护人提供报警信息。婴儿状态监护预警装置改进了电路结构和机械结构,使其具有较高的准确性和稳定性,有助于家长更好地关注和照顾婴儿,降低看护风险。     

基于Zigbee与Labview的医院住院婴儿智能监护系统

本文基于Zigbee和Labview开发了一种住院婴儿智能监护系统。现阶段住院婴儿数量庞大,随着看护要求的提高,对医护人员需求也有所提高,目前我国医护人员存在短缺问题,人员资源不足。针对现存问题,提出一种智能监护系统的设计方案,系统终端对婴儿进行体征数据采集,利用Zigbee自组网技术整合传输婴儿体征数据,构建医护人员监测平台,对婴儿实现实时监控并及时治疗功能。一方面解决我国医护人员紧缺问题,另一方面为医护人员减轻工作负担,提高医护人员工作效率。     

基于Zigbee技术的婴儿监护系统的设计与实现

为了便于医护人员对婴儿的监护,设计了一种基于Zigbee的婴儿监护系统。该系统通过温度传感器和睡眠状态传感器来采集婴儿的生理指标,通过Zigbee网络上传到Zigbee-WiFi的无线网关,再通过Wifi网络传输到医护值班室的上位机,上位机软件可以对婴儿异常状况进行报警和记录,并能实时查看婴儿的生理指标。经过测试,该系统组网灵活方便,实时性好,稳定高效,对于提高医护人员的工作效率,减轻工作强度具有重要意义。     

婴儿监护系统中哭声检测模块设计与实现

针对目前婴儿自动化监护系统中需要对婴儿哭声的进行智能检测,本文根据婴儿哭声的频率特征,设计了婴儿哭声检测电路,该电路包括信号的输入、放大、滤波、整形和定时。经过仿真测试,该电路能很好的检测婴儿哭声,具有重要的实际意义。     

智能母婴监护系统的设计与实现

母婴监护系统现已成为产科产前、产时行之有效的监护手段,能通过胎心率曲线诊断胎儿的健康状况,对提高出生人口素质,减少残疾婴儿的出生具有重要作用.传统的母婴监护系统体积较大、操作比较复杂、实时性差、价格比较昂贵.因而设计了一种智能母婴监护系统,根据嵌入到无线智能传感器中的算法提取出稳定的胎心率,将胎心率以及孕妇其它监护数据...     

基于nRF24E1的无线婴儿监护系统的设计

概述了一种基于nRF24E1的无线婴儿监护系统,介绍了该系统的总体设计结构,详细介绍了信号发送和接收的工作原理,最后介绍了软件设计部分。     

基于MSP430的婴儿睡眠监护系统

为更好地照顾婴儿,分担新爸爸新妈妈的负担,提出一种基于MSP430单片机的婴儿睡眠监护系统.系统包括多点尿湿检测模块、声音检测模块、声光报警模块和无线传输模块.以低功耗的MSP430为主控,利用DHT11芯片检测温湿度,单片机处理后的温、湿度信息由nRF24L01发送给接收端,当温湿度超出阈值或检测到婴儿啼哭时进行声光报警.经实际测试,该系统运行可靠,低功耗、低成本、高实用性,具有推广价值.     

AVS音视频解码芯片实现商业化应用

德州仪器（TI）推出针对便携式高清（HD）视频产品市场的达芬奇（DaVinci）处理器DM355,能够在数码相机、IP摄像机、数码相框以及婴儿视频监护器等应用中实现高清视频的处理，而价格不到10美元。     

高灵敏FM无线传声器

高灵敏ＦＭ无线传声器李新胜本传声器的话筒灵敏度极高，可拾取到５米内的微弱声响，传插距离可达５００米远，频率十分稳定，即使手摸天线也不会弓Ｉ起频率变化。工作频率在８８～１０８ＭＨＺ之间可调，配合调频收录机，可广泛应用于课堂教学实况录音、婴儿睡眠监护以及...     

用于便携式高清视频的低成本达芬奇处理器

DM355处理器由集成的视频处理子系统、MPEG-4-JPEG协处理器（MJCP）、ARM926EJ-S内核以及多种外设组成，针对数码相机、IP摄像机、数码相框以及婴儿视频监护器等应用。其配套开发工具DM355数字视频评估板（DVEVM）将有助干开发人员快速而轻松地创建低成本便携式高清数字视频设备。     

Conceptual framework of knowledge management for ethical decision-making support in neonatal intensive care.

This research is built on the belief that artificial intelligence estimations need to be integrated into clinical social context to create value for health-care decisions. In sophisticated neonatal intensive care units (NICUs), decisions to continue or discontinue aggressive treatment are an integral part of clinical practice. High-quality evidence supports clinical decision-making, and a decision-aid tool based on specific outcome information for individual NICU patients will provide significant support for parents and caregivers in making difficult "ethical" treatment decisions. In our approach, information on a newborn patient's likely outcomes is integrated with the physician's interpretation and parents' perspectives into codified knowledge. Context-sensitive content adaptation delivers personalized and customized information to a variety of users, from physicians to parents. The system provides structuralized knowledge translation and exchange between all participants in the decision, facilitating collaborative decision-making that involves parents at every stage on whether to initiate, continue, limit, or terminate intensive care for their infant.     

Wearable healthcare: Lessons from the past and a peek into the future

The market for wearable healthcare devices is one of the fastest growing markets of this decade. In this paper, we conduct a thorough review of the peer-reviewed and grey literatures on wearable healthcare. Then, using SWOT analysis, we examine the market’s strengths, weaknesses, opportunities, and some of the major threats it faces. Our structured examination revealed that the primary areas of innovation in wearable healthcare include infant safety and care, elderly care, chronic disease management, military support, sports medicine, and preventive medicine. We also found that several hurdles stand in the way of the wearable market’s success; these include threats to data security and privacy, regulatory requirements, cost of system operation and management, and subpar adoption rates. Overall, our analysis revealed that significant effort is needed to address the identified technological, societal, and governmental barriers that are preventing the wearable healthcare market from reaching its full potential. Incentives by the Federal government that fuel innovation and encourage adoption by healthcare professionals and patients is deemed necessary for the wearable market’s continued growth.     

A Danger Estimation System for Infants Based on a Foreground Dynamic Probability Model

This study presents a danger estimation system to prevent accidents among infants. A video camera positioned above the infant＇s crib captures video. The proposed system can monitor the behavior of infants aged zero to six months. If there is a change in behavior or any other unusual occurrence, the system alerts the person responsible to attend to the baby immediately. The proposed system operates in three phases, which are foreground color model （FC model） construction, infant detection, and degree of danger analysis. During FC model construction, the foreground color histogram is created iteratively; the background image does not have to be constructed first. A motion-history image （MHI） is also obtained based on the motion of the infant. The color and motion information supplied by the FC model and the MHI are combined to detect the infant, who is regarded as the foreground object in the input frame. Moreover, six features of infant behavior are extracted from the detected infant to measure the degree of danger faced by the infant, and the result is used to warn the baby-sitter if needed. Experimental results show that the proposed method is robust and efficient.     

DAG-SVM based infant cry classification system using sequential forward floating feature selection

Crying is the infant’s first verbal communication. Before learning how to express the emotions or physiological/psychological requirements with language, infants usually express how they feel through crying. Crying is a response to a stimulus such as hunger, pain, or discomfort. However, it is sometimes difficult to figure out why an infant is crying. This can certainly be frustrating or even frightening for a caretaker, and so we in this paper have proposed an infant cry classification system to categorize the types of infant crying to help parents and nursing staffs attending to the needs of the infants. Currently, three kinds of distinct infant cries have been identified: hunger; pain; and feeling sleepy. Fifteen features are extracted from each crying frame and the sequential forward floating selection is then adopted to pick out high discriminative features. The directed acyclic graph support vector machine is finally used to classify infant crying. Experimental results have revealed the good performance of the proposed system and the classification accuracy is up to 92.17 %.     

Determination of transistor infant failure probability in InGaP/GaAs heterojunction bipolar technology

A novel circuit for measuring the infant mortality rate in InGaP/GaAs HBT Technology is presented. The circuit allows reliability stressing to be performed on as many as 100,000 transistors per wafer and is necessary in order to predict the infant circuit failure rate in circuits with >500 transistors without costly burn-in screens. This new circuit allows for the rapid identification of failed transistors and subsequent failure analysis to allow for process improvements. A variation of the same circuit has also been used to estimate the activation energy, E_a, of the infant failure mechanism. Rough estimates of E_a indicate that the infant failure mechanism is 0.5 eV, and that there may be two distinct failure mechanisms responsible for infant failures. Process defects have not been found on the vast majority of failed transistors, and there is good correlation between the substrate dislocation density and the infant failure rate. We have concluded that substrate dislocations are the leading cause of infant mortality in our HBT process.     

残差网络在婴幼儿哭声识别中的应用

该文使用语谱图结合残差网络的深度学习模型进行婴幼儿哭声的识别,使用婴幼儿哭声与非哭声样本比例均衡的语料库,经过五折交叉验证,与支持向量机(SVM),卷积神经网络(CNN),基于Gammatone滤波器的听觉谱残差网络(GT-Resnet)3种模型相比,基于语谱图的残差网络取得了最优结果,F1-score达到0.9965,满足实时性要求,证明了语谱图在婴幼儿哭声识别任务中能直观地反映声学特征,基于语谱图的残差网络是解决婴幼儿哭声识别任务的优秀方法。     

An approach to developing an infant mortality requirement for fiberoptic transport systems

The approach used in developing an infant mortality requirement for fiber optic transport systems used in Bellcore client networks is described. Two generic parameters are considered: failure rate ratio, which is the ratio of the instantaneous failure rate to the steady-state failure rate, and infant mortality factor, which is the ratio of the expected number of failures in the first year of service to the expected number of failures in a steady-state year. Each of these parameters is discussed, and two methods of deriving a value for the infant mortality requirement are discussed. The first, a time-effective method, analyzes the infant mortality models to determine when there has been sufficient decay in the rate of change of the number of failures. The second, a cost-effective method, analyzes the models to determine a point at which overall costs are minimized     

Health care informatics

The health care industry is currently experiencing a fundamental change. Health care organizations are reorganizing their processes to reduce costs, be more competitive, and provide better and more personalized customer care. This new business strategy requires health care organizations to implement new technologies, such as Internet applications, enterprise systems, and mobile technologies in order to achieve their desired business changes. This article offers a conceptual model for implementing new information systems, integrating internal data, and linking suppliers and patients.     

Design and development of a mechatronic infant torso simulator for respiratory physiotherapy learning

Currently, constraint-free realistic context training is nonexistent in infant physiotherapy. In order to enhance the vocational learning of novices, in close collaboration with expert physiotherapists, we designed an innovative simulator dedicated to the training of infant respiratory physiotherapy. This paper describes the simulator’s functionalities and the method used to design its physical structure and the learning paradigm. Firstly, regarding a cognitive approach, relevant vocational and didactic criteria were defined in order to characterize the gesture and determine its limits for a nondangerous practice. Subsequently, we chose physical parameters to assess the criteria and define the specifications of the simulator. The mechatronic functions arose from a didactic transposition of the expected simulation-based functionalities. A 6-month-old infant torso physical structure has been designed with the use of finite element simulations. Its mechanical behaviour provides the possibility to deform the mannequin like a real infant during physiotherapy manoeuvres. A prototype has been realized and validated.     

NB-IoT Application on Decision Support System of Building Information Management

Near future human being is going to enhance their capability to communicate sensations by incorporating their five sensory holistic information using modern techniques. Human bond communication is a concept through which we communicate or try to communicate received data by our five sensory organs to another person. The objective of this paper is to provide a smart way to protect infant from sudden infant death syndrome. Proposed technique is a novel concept which will help parents and caretaker to know their newly born baby’s feeling wirelessly whom an infant cannot share with them.