Wrist Wearable Physiological Signal Detection Equipment with Biochemical Materials

2012 ◽  
Vol 459 ◽  
pp. 293-297 ◽  
Author(s):  
Xing Chen ◽  
Hong Lun Hou ◽  
Ming Hui Wu ◽  
Mei Mei Huo
Keyword(s):  
Health Care ◽  
Oxygen Saturation ◽  
Signal Detection ◽  
Human Body ◽  
Family Health ◽  
Medical Field ◽  
Physiological Signal ◽  
Potential Value ◽  
Care Field ◽  
Physiological Information

This paper designed a wrist Device which can detect physiological information and save the information data. The information got by device is including Oxygen saturation of blood, Pulse rate and steps. And the device even can distinguish the state of human body between fall and normal activities with 3-axis accelerometer. The equipment designed for family health care and remote healthy care field. The operation of device is so easy to be mastered that the device might have a potential value for the future medical field

scholarly journals Correction to: Inequalities in the utilisation of maternal health Care in Rural India: Evidences from National Family Health Survey III & IV

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Balhasan Ali ◽  
Shekhar Chauhan
Keyword(s):  
Health Care ◽  
Maternal Health ◽  
Health Survey ◽  
Family Health ◽  
Maternal Health Care ◽  
Rural India ◽  
National Family Health Survey ◽  
National Family

An amendment to this paper has been published and can be accessed via the original article.

scholarly journals Determinants of neonatal, postneonatal and maternal mortality on models of primary health

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
A B Guerra ◽  
L M Guerra ◽  
L F Probst ◽  
B V Castro Gondinho ◽  
G M Bovi Ambrosano ◽  
...  
Keyword(s):  
Health Care ◽  
Infant Mortality ◽  
Maternal Mortality ◽  
Public Policies ◽  
Family Health ◽  
Mortality Rates ◽  
Sao Paulo ◽  
The State ◽  
Care Organization ◽  
São Paulo

Abstract Background The state of São Paulo recorded a significant reduction in infant mortality, but the desired reduction in maternal mortality was not achieved. Knowledge of the factors with impact on these indicators would be of help in formulating public policies. The aims of this study were to evaluate the relations between socioeconomic and demographic factors, health care model and both infant mortality and maternal mortality in the state of São Paulo, Brazil. Methods In this ecological study, data from national official open sources were used. Analyzed were 645 municipalities in the state of São Paulo, Brazil. For each municipality, the infant mortality and maternal mortality rates were calculated for every 1000 live births, 2013. The association between these rates, socioeconomic variables, demographic models and the primary care organization model in the municipality were verified. We used the zero-inflated negative binomial model. Gross analysis was performed and then multiple regression models were estimated. For associations, we adopted “p” at 5%. Results The increase in the HDI of the city and proportion of Family Health Care Strategy implemented were significantly associated with the reduction in both infant mortality (neonatal + post-neonatal) and maternal mortality rates. In turn, the increase in birth and caesarean delivery rates were associated with the increase in infant and maternal mortality rates. Conclusions It was concluded that the Family Health Care Strategy model that contributed to the reduction in infant (neonatal + post-neonatal) and maternal mortality rates, and so did actors such as HDI and cesarean section. Thus, public health managers should prefer this model. Key messages Implementation of public policies with specific focus on attenuating these factors and making it possible to optimize resources, and not interrupting the FHS. Knowledge of the factors with impact on these indicators would be of help in formulating public policies.

Family Health Care Tasks: An Exploration

2004 ◽  
Vol 37 (1) ◽  
pp. 71-80
Author(s):  
Janice K. Purk
Keyword(s):  
Health Care ◽  
Family Health

Reconstructed Silk Fibroin Mediated Smart Wristband for Physiological Signal Detection

2021 ◽  
pp. 132362
Author(s):  
Zhang Yifan ◽  
Aniruddha Patil ◽  
Hou Chen ◽  
Lu Di ◽  
Qiu Wu ◽  
...  
Keyword(s):  
Signal Detection ◽  
Silk Fibroin ◽  
Physiological Signal

Using of data science in healthcare

2021 ◽  
pp. 149-156
Author(s):  
Ihor Ponomarenko ◽  
Oleksandra Lubkovska
Keyword(s):  
Machine Learning ◽  
Health Care ◽  
Business Intelligence ◽  
Data Science ◽  
Large Data ◽  
Science Methods ◽  
Medical Field ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Using Data

The subject of the research is the approach to the possibility of using data science methods in the field of health care for integrated data processing and analysis in order to optimize economic and specialized processes The purpose of writing this article is to address issues related to the specifics of the use of Data Science methods in the field of health care on the basis of comprehensive information obtained from various sources. Methodology. The research methodology is system-structural and comparative analyzes (to study the application of BI-systems in the process of working with large data sets); monograph (the study of various software solutions in the market of business intelligence); economic analysis (when assessing the possibility of using business intelligence systems to strengthen the competitive position of companies). The scientific novelty the main sources of data on key processes in the medical field. Examples of innovative methods of collecting information in the field of health care, which are becoming widespread in the context of digitalization, are presented. The main sources of data in the field of health care used in Data Science are revealed. The specifics of the application of machine learning methods in the field of health care in the conditions of increasing competition between market participants and increasing demand for relevant products from the population are presented. Conclusions. The intensification of the integration of Data Science in the medical field is due to the increase of digitized data (statistics, textual informa- tion, visualizations, etc.). Through the use of machine learning methods, doctors and other health professionals have new opportunities to improve the efficiency of the health care system as a whole. Key words: Data science, efficiency, information, machine learning, medicine, Python, healthcare.

Semiconductor nano materials in the reconstruction of wearable human body sensor

2021 ◽  
pp. 1-14
Author(s):  
Junbai Pan ◽  
Yangong Zheng ◽  
Jinkai Jin ◽  
Xiang Cai ◽  
Chencheng Wang
Keyword(s):  
Human Body ◽  
Bp Neural Network ◽  
Zinc Concentration ◽  
Physiological Data ◽  
Processing Unit ◽  
Nano Materials ◽  
Experimental Conditions ◽  
Control Center ◽  
Physiological Signal ◽  
Central Processing

In view of the shortcomings of the current wearable human body sensor, such as poor comfort and low sensing accuracy, the application of semiconductor nano materials in the reconstruction of wearable human body sensor is studied. The best zinc concentration of 10 mm and the best reaction temperature of 75∘C were selected as experimental conditions to prepare the modified silk. The two ends of the silk sensor were connected by silver glue and wire respectively to form a single silk sensor. The sensor is placed in the wearable clothing of the wearable human body sensor, which uses the sensor to sense the physiological signal of human body and sends it to the control center. The central processing unit of the control center uses the data eigenvalue fusion decision-making method of BP neural network to process the physiological data of human body and then transmits it to the display terminal to realize the physiological data induction of human body. The experimental results show that the human body sensor can effectively sense human heart rate, blood oxygen signal, blood pressure and other physiological signals, and the sensing accuracy is above 97%.

scholarly journals Oral health indicators in primary health care: the understanding and the information recorded by dentist-surgeons

2014 ◽  
Vol 62 (1) ◽  
pp. 37-45
Author(s):  
Patrícia Maria Costa de OLIVEIRA ◽  
Léa Maria Bezerra de MENEZES ◽  
Maria Vieira de Lima SAINTRAIN ◽  
Paulo César de ALMEIDA ◽  
Maria Eneide Leitão de ALMEIDA
Keyword(s):  
Health Care ◽  
Oral Health ◽  
Sampling Error ◽  
Family Health ◽  
Health Indicators ◽  
Ministry Of Health ◽  
Health Strategy ◽  
The Family ◽  
Family Health Strategy ◽  
Oral Health Indicators

OBJECTIVE: This study aimed to know the understanding of Oral health indicators recommended by the Ministry of Health by dentists in the family health strategy of the state of Ceará in 2008. METHODS: It is a descriptive, cross-sectional study in which it was used a questionnaire to obtain the data concerning the way information on oral health actions performed in Family Health Care Units and other social spaces are registered, as well as investigate their knowledge about oral health indicators. The calculation of the sample of dentist-surgeons adopted an absolute sampling error of 6.8% and a significance level of 5%, resulting in an initial sample of 175 dentists; however, only 159 participated in this study according to the inclusion criteria. For instance, they should have been working in the service in the period from 2001 to 2007. In all, 32 cities participated in the research, distributed in 18 Regional Health Cells selected by drawing lots. The data were processed in the program SPSS version 17.0 and considered statistically significant the inferential analyses with p < 0.05. RESULTS: it was observed that there are differences between the interpretation of the indicators objectives and the data relating to oral health actions recorded by dentist-surgeons from the Family Health Strategy. They also differ from the guidelines of the Ministry of Health. CONCLUSION: The pregnant present some knowledge about oral health that can be improved by means of educational, preventive and healing programs. This group exert big it influences in the family ambit, could act as agents multipliers and avoiding the child's precocious contamination.

scholarly journals Practice of Biopsychosocial Medicine in Portugal: Perspectives of Professionals Involved

2009 ◽  
Vol 12 (1) ◽  
pp. 217-225 ◽  
Author(s):  
M. Graça Pereira ◽  
Alfonso Alonso Fachado ◽  
Thomas Edward Smith
Keyword(s):  
Health Care ◽  
Care Delivery ◽  
Interdisciplinary Collaboration ◽  
Family Health ◽  
Future Research ◽  
Care Practice ◽  
Multidisciplinary Teams ◽  
Full Time ◽  
Biopsychosocial Medicine ◽  
Health Care Centers

Although, recently, the biopsychosocial approach has been emphasized in the practice of family medicine, how psychologists and physicians interact in collaborative family health care practice is still emerging in Portugal. This article describes a qualitative study that focused on the understanding of psychologists and family physicians' perceptions of their role and the collaborative approach in health care.A questionnaire gathered information regarding collaboration, referral, training and the practice of biopsychosocial medicine. A content analysis on respondents' discourse was performed. Results show that both physicians and psychologists agree on the importance of the biopsychosocial model and interdisciplinary collaboration. However, they also mentioned several difficulties that have to do with the lack of psychologists working full time in health care centers, lack of communication and different expectancies regarding each other roles in health care delivery.Both physicians and psychologists acknowledge the lack of academic training and consider the need for multidisciplinary teams in their training and practice to improve collaboration and integrative care. Implications for future research and for the practice of biopsychosocial medicine are addressed.

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