OHMS allows physicians to perform continuous monitoring of elderly patients through a distributed system of personalized and synchronized XML profiles. This solution ensures that information accessed by both elderly and physician clients is always up-to-date by validating updates through a communication channel using web services and OSGi architecture. The health profile contains medical history, medications, sensor measurements, and protocols to manage this information based on a user's health conditions. OHMS was tested in European pilots to assess its ability to monitor users and react appropriately to emergency situations or medication changes based on profile information.
The SENSACTION-AAL project addressed one of the main problems for older people: motor disabilities.
By Lorenzo Chiari, Carlo Tacconi. DEIS - Università di Bologna
Shared By The Many: Advances in technology are allowing for the provision of affordable, decentralized healthcare for the masses and are lowering the barriers to entry in less developed markets.
The analysis in PSFK’s Future of Health Report has yielded a number of insights, the most evident of which is mobile technology as a catalyst for change. The mobile phone and connected tablet computer are allowing for the distribution of a broad range of medical and support services. This is especially important in countries with little or no healthcare infrastructure and areas in which there are few trained healthcare professionals. These technologies also allow trained professionals to perform quality control remotely.
Amongst the many significant developments is a shift towards one-on-one, in- field diagnostics and monitoring. Services that were once only available at a doctor’s office or hospital are now available on-demand through low-tech, affordable solutions. Personal systems allow for ‘good enough’ diagnostics that would have been difficult, expensive and timely to attain previously.
Using a basic phone with adapted software, a health worker can test for myriad symptoms - even cancer. This information can be relayed to a central medical care center where doctors and trained professionals can react to the data, provide prompt diagnosis and suggest treatment options. The ability to capture this data and get quick responses remotely means better healthcare, fewer trips to the hospital (which, for many means days away from home and family), and less time away from work.
A change is also occurring that is seeing increased access to and sharing of health information. This is made possible by the proliferation of systems designed to overcome infrastructure insufficiencies. these systems are enabling the broadcast of information and receipt of subsequent feedback in virtually any setting. From ‘town crier’ systems to ‘internet by text’, the collective knowledge found on the web is being made available to populations around the world who previously lacked access. The connectivity that is enabling the sharing of health information is also powering the growth of social networks focused on health and medical care. These networks are allowing professionals, health workers and individuals to connect and share knowledge quickly.
PSFK’s Future of Health Report details 15 trends that will impact health and wellness around the world. Simple advances such as off-the-grid energy and the introduction of gaming into healthcare service offerings sit alongside more future-forward developments such as bio-medical printing. It is our hope that this report will inspire your thinking and lead to services, applications and technologies which will allow for more available, quality healthcare.
For a download of this report - visit: http://www.psfk.com/future-of-health
How Technology Encourages A Healthy Lifestylegrovedental
Technology has changed health care, putting the power to manage our health in our own hands to a degree never seen before. Here are some important facts about health and how technology encourages people to live healthier lifestyles.
Digital Health Disruption - Consumerization Transforms HealthcaremyNEXT
Digital Health is transforming healthcare as we know it. Sensors, mobile devices, online marketplaces, big data analytics, and internet tools & services empower consumers/patients to take their health into their own hands. Disruptive change has consumerized many products and industries in the past: photocopiers, PC, and refrigerators. The same is happening in healthcare now.
The SENSACTION-AAL project addressed one of the main problems for older people: motor disabilities.
By Lorenzo Chiari, Carlo Tacconi. DEIS - Università di Bologna
Shared By The Many: Advances in technology are allowing for the provision of affordable, decentralized healthcare for the masses and are lowering the barriers to entry in less developed markets.
The analysis in PSFK’s Future of Health Report has yielded a number of insights, the most evident of which is mobile technology as a catalyst for change. The mobile phone and connected tablet computer are allowing for the distribution of a broad range of medical and support services. This is especially important in countries with little or no healthcare infrastructure and areas in which there are few trained healthcare professionals. These technologies also allow trained professionals to perform quality control remotely.
Amongst the many significant developments is a shift towards one-on-one, in- field diagnostics and monitoring. Services that were once only available at a doctor’s office or hospital are now available on-demand through low-tech, affordable solutions. Personal systems allow for ‘good enough’ diagnostics that would have been difficult, expensive and timely to attain previously.
Using a basic phone with adapted software, a health worker can test for myriad symptoms - even cancer. This information can be relayed to a central medical care center where doctors and trained professionals can react to the data, provide prompt diagnosis and suggest treatment options. The ability to capture this data and get quick responses remotely means better healthcare, fewer trips to the hospital (which, for many means days away from home and family), and less time away from work.
A change is also occurring that is seeing increased access to and sharing of health information. This is made possible by the proliferation of systems designed to overcome infrastructure insufficiencies. these systems are enabling the broadcast of information and receipt of subsequent feedback in virtually any setting. From ‘town crier’ systems to ‘internet by text’, the collective knowledge found on the web is being made available to populations around the world who previously lacked access. The connectivity that is enabling the sharing of health information is also powering the growth of social networks focused on health and medical care. These networks are allowing professionals, health workers and individuals to connect and share knowledge quickly.
PSFK’s Future of Health Report details 15 trends that will impact health and wellness around the world. Simple advances such as off-the-grid energy and the introduction of gaming into healthcare service offerings sit alongside more future-forward developments such as bio-medical printing. It is our hope that this report will inspire your thinking and lead to services, applications and technologies which will allow for more available, quality healthcare.
For a download of this report - visit: http://www.psfk.com/future-of-health
How Technology Encourages A Healthy Lifestylegrovedental
Technology has changed health care, putting the power to manage our health in our own hands to a degree never seen before. Here are some important facts about health and how technology encourages people to live healthier lifestyles.
Digital Health Disruption - Consumerization Transforms HealthcaremyNEXT
Digital Health is transforming healthcare as we know it. Sensors, mobile devices, online marketplaces, big data analytics, and internet tools & services empower consumers/patients to take their health into their own hands. Disruptive change has consumerized many products and industries in the past: photocopiers, PC, and refrigerators. The same is happening in healthcare now.
Telehealthcare for older people with comorbidity: lessons from eCAALYXand pr...Maged N. Kamel Boulos
Invited presentation by MN Kamel Boulos at http://www.aal-europe.eu/innovate-uk/ (12 March 2013) - (C) The eCAALYX Project Consortium - http://ecaalyx.org/
Healthcare and medicine are being revolutionized by communications and computational resources. Understanding how the convergence of these enabling technologies is advancing our ability to get and stay well is the topic of this presentation.
Vator Splash Health, Wellness & Wearables 2017
A presentation on the Vator conference in San Francisco, CA. Perhaps one of my favorite conference series in health tech featuring many perspectives: tech, insurance, genomics, behavioral health, diagnostics, devices and more.
“Mobile Health(mHealth) is the use of mobile and wireless devices, the technology, to provide Health outcomes, Healthcare services and Health research.”
Advances in information and communication technologies have led to the emergence of Internet of Things
(IoT). In the modern health care environment, the usage of IoT technologies brings convenience to physicians and
patients since they are applied to various medical areas (such as real-time monitoring, patient information and healthcare
management). The body sensor network (BSN) technology is one of the core technologies of IoT developments in
healthcare system, where a patient can be monitored using a collection of tiny-powered and lightweight wireless sensor
nodes
Mobile devices are enforcing its use in all aspects of life, health care is one major area where mobile device could enhance operations, or improve quality and efficincy. Here is a presentation I gave at HIMSS which may be useful to you if you are considering using mobile device in your health care discpline.
MHealth or Mobile Health is an emerging and an innovative of medication in India, by doctors can communicate and treat their patients very conveniently even from far distances.
From your home to the waiting room, today’s patient experience is rapidly evolving and will continue changing into the future. We have more control and insight into healthcare than ever before, largely due to emerging and readily accessible technologies. This is impacting both the experience at the provider’s office and how patients research and address their own healthcare at home. A look at the technologies that are changing healthcare and practical applications for consumers to take charge of their health today. This presentation was originally given at the 2013 Better Health: Everyone's Responsibility Conference.
This presentation contains an introduction to emerging healthcare Technologies. These emerging technologies include Data Analytics, AI, Blockchain, Telehealth, virtual reality, cloud computing, and IOT. The concept of Nanorobots as future medicine is also included in this presentation.
This is a powerpoint that we have made, it is our final assesment on the Human Nature (Unit 1) The videos of the interview are in seperate posts, as it was too large to put in one post.
Telehealthcare for older people with comorbidity: lessons from eCAALYXand pr...Maged N. Kamel Boulos
Invited presentation by MN Kamel Boulos at http://www.aal-europe.eu/innovate-uk/ (12 March 2013) - (C) The eCAALYX Project Consortium - http://ecaalyx.org/
Healthcare and medicine are being revolutionized by communications and computational resources. Understanding how the convergence of these enabling technologies is advancing our ability to get and stay well is the topic of this presentation.
Vator Splash Health, Wellness & Wearables 2017
A presentation on the Vator conference in San Francisco, CA. Perhaps one of my favorite conference series in health tech featuring many perspectives: tech, insurance, genomics, behavioral health, diagnostics, devices and more.
“Mobile Health(mHealth) is the use of mobile and wireless devices, the technology, to provide Health outcomes, Healthcare services and Health research.”
Advances in information and communication technologies have led to the emergence of Internet of Things
(IoT). In the modern health care environment, the usage of IoT technologies brings convenience to physicians and
patients since they are applied to various medical areas (such as real-time monitoring, patient information and healthcare
management). The body sensor network (BSN) technology is one of the core technologies of IoT developments in
healthcare system, where a patient can be monitored using a collection of tiny-powered and lightweight wireless sensor
nodes
Mobile devices are enforcing its use in all aspects of life, health care is one major area where mobile device could enhance operations, or improve quality and efficincy. Here is a presentation I gave at HIMSS which may be useful to you if you are considering using mobile device in your health care discpline.
MHealth or Mobile Health is an emerging and an innovative of medication in India, by doctors can communicate and treat their patients very conveniently even from far distances.
From your home to the waiting room, today’s patient experience is rapidly evolving and will continue changing into the future. We have more control and insight into healthcare than ever before, largely due to emerging and readily accessible technologies. This is impacting both the experience at the provider’s office and how patients research and address their own healthcare at home. A look at the technologies that are changing healthcare and practical applications for consumers to take charge of their health today. This presentation was originally given at the 2013 Better Health: Everyone's Responsibility Conference.
This presentation contains an introduction to emerging healthcare Technologies. These emerging technologies include Data Analytics, AI, Blockchain, Telehealth, virtual reality, cloud computing, and IOT. The concept of Nanorobots as future medicine is also included in this presentation.
This is a powerpoint that we have made, it is our final assesment on the Human Nature (Unit 1) The videos of the interview are in seperate posts, as it was too large to put in one post.
Mercedes Serrano - Guía metabólica: empowerment through health 2.0 tools in ...WTHS
Presentation of Workshop on Technology for Healthcare and Healthy Lifestyle 2011
Thursday 1st Dec 2011
Session III
http://www.tsb.upv.es/wths2011
También en:
http://es.scribd.com/doc/73819171/Presentacion-Dra-Mercedes-Serrano-Guia-Metabolica-conferencia-Ideagoras-2011
An Intelligent Healthcare Serviceto Monitor Vital Signs in Daily Life – A Cas...IJERA Editor
Vital signs monitoring for elderly in daily life environment is a promising concept that efficiently can provide medical services to people at home. However, make the system self-served and functioning as personalized provision makes the challenge even larger. This paper presents a case study on a Health-IoT system where an intelligent healthcare service is developed to monitor vital signs in daily life. Here, a generic Health-IoT framework with a Clinical Decision Support System (CDSS) is presented. The generic framework is mainly focused on the supporting sensors, communication media, secure and safe data communication, cloud-based storage, and remote accesses of the data. The CDSS is used to provide a personalized report on persons‟ health condition based on daily basis observation on vital signs. Six participants, from Spain (n=3) and Slovenia (n=3) have been using the proposed healthcare system for eight weeks (e.g. 300+ health measurements) in their home environments to monitor their health. The sensitivity, specificity and overall accuracy of the DSS‟s classification are achieved as 90%, 97% and 96% respectively while k=2 i.e., top 2 most similar retrieved cases are considered. The initial user evaluation resultdemonstrates the feasibility and performance of the implemented system through the proposed framework.
mHEALTH: REVIEW OF MOBILE HEALTH MONITORING SYSTEMSIAEME Publication
With rise in world population, cost of healthcare also increased rapidly which led to the demand of low cost health monitoring solutions. In recent times, non-invasive wearable sensors have played an important role in healthcare applications. With advancement in wireless communication technologies, ubiquitous computing and embedded systems, the sensors need not be invasive anymore to accurately monitor a patient's health status, rather can be managed by user itself so as to keep a record of one's health condition. The advancement of healthcare technologies has enabled patients to monitor their vital health parameters on their own, and saves them from regular tiring hospital visits & high cost of laboratory medical checkups. It has also reduced the burden of healthcare service providers, thereby reducing overall medical costs. This paper provides a review of current status of mobile healthcare applications.
Zigbee based wearable remote healthcare monitoring system for elderly patientsijwmn
Remote health care monitoring system (RHCMS) has drawn considerable attentions for the last decade. As
the aging population are increasing and at the same time the health care cost is skyrocketing there has
been a need to monitor a patient from a remote location. Moreover, many people of the World are out of
the reach of existing healthcare systems. To solve these problems many research and commercial versions
of RHCMS have been proposed and implemented till now. In these systems the performance was the main
issue in order to accurately measure, record, and analyze patients’ data. With the ascent of wireless
network RHCMS can be widely deployed to monitor the health condition of a patient inside and outside of
the hospitals. In this work we present a ZigBee based wireless healthcare monitoring system that can
provide real time online information about the health condition of a patient. The proposed system is able to
send alarming messages to the healthcare professional about the patient’s critical condition. In addition
the proposed system can send reports to a patient monitoring system, which can be used by the healthcare
professionals to make necessary medical advices from anywhere of the World at any time.
Wireless Body Area Networks for Healthcare Applications: An OverviewTELKOMNIKA JOURNAL
Healthcare systems have been facing various new challenges due to increasing and rising aging
population in healthcare. Advance information and communication technologies have introduced Wireless
Body Area Networks (WBANs) for healthcare systems. WBANs provide different monitoring services in
healthcare sector for monitoring their patients with more convenience. WBANs are economical solutions
and non-invasive technology for healthcare applications. This review paper provides a comprehensive
review on WBANs applications, services and recent challenges.
M health an emerging trend an empirical studycsandit
The advent and advancement in technology specific to medical field has seen a migration of its
work across the globe, adapting higher and newer levels of m-health. Technology has been
successful in transforming the way traditional monitoring and alert system work to a modern
approach wherein minimizing the need for physical monitoring. Today, the field of healthcare
use varied monitoring systems to monitor the health of patients using ubiquitous and nonubiquitous
devices. These are sensor based devices that can read vital signs of patients and send
the data to the required personnel’s using mobile networks. This paper understands and
analyses how the monitoring and alert system works specific to m-health. m-health including
wearable and non-wearable devices read various vital signs and have the ability to monitor
health real-time and transfer the information collected using mobile network. m-health has
become an useful tool for elderly in this fast paced world where almost all the family members
are working or studying to keep track and maintain optimal health status. m-health alert system
involves the patient, the caretaker and medical service provider wherein the patient wears the
device and vital signs recorded are transferred the medical service provider who then analyses
the data collected and required changes in the medication are implemented. This paper
proposes a medical alert system that enlightens the capabilities of m-health making health
monitoring easy and reliable. It contains a three-level severity check and raises an alarm to the
caretaker, the physician or the ambulatory service provider.
GSM technology is used to monitor the different parameters of an ICU patient remotely and also control over medicine dosage is provided. Measurements of vital signs and behavioral patterns can be translated into accurate predictors of health risk ,even at an early stage and can be combined with alarm triggering systems in order to initiate the appropriate actions. The conventional methods including wet adhesive Ag/AgCl electrodes for HR and HRV, the capnograph device for respiratory status and pulse oximetry for oxyhemoglobin saturation provide excellent signals but are expensive, troublesome and inconvenient. A method to monitor physiological information based on GSM offers a new means for health monitoring. In this paper, we review the latest developments in monitoring and discuss the challenges and future directions for this field.
With entry of time proportion of maturing and incessant infections going high and high. That is the reason people groups are for the most part stressed over their great wellbeing. Furthermore, they are energized by their longing for better wellbeing administration. Individuals intrigues, consideration move towards quiet focused rather than old customary and traditional hospitalized administrations. For this reason in later past thought of U-HEALTHCARE was embraced. U-HealthCare was such a framework made out of a shrewd headband and a wellbeing state screen program. U-Health Care is in charge of keeping under perceptions diverse conditions of wellbeing amid running, strolling, running. Its produce data about heart rate, client PGG (Photo Plet hy Smography) with help of savvy headband. A sticks of time clock proceeds recently investigate on telemedicine drive forward omnipresent social insurance (U-Health).researchers and designers have anticipating such a telemedicine framework which is arrangement of MOBILE, UBIQUITOUS and WIRELESS BODY AREA NETWORK, on the grounds that such a framework have more positive to appreciate next offspring of U-Health. With giving a great deal of productive results present photograph of U-Health framework is still a tiny bit unclear and dark because of inadequacies which make question mark on notice alternative of U-HealthCare System. So for this reason, we should need to take incorporation of most recent, very much modern equipment, correspondences, interconnections, a trademark figuring, advance steering and protection to upcoming offspring of U-Healthcare taking into account MOBILE, UBIQUITOUS and WIRELESS BODY AREA NETWORK. Our distinct fascination and consideration will be on change of ROUTING and SECURITY.
E-Health is alluded to as utilizing of information and communication technologies (ICT) in restorative field to control treatment of patients, research, and wellbeing training and checking of general wellbeing. The reason for this paper is thusly to investigate an institutionalized system for E-Health challenges confronted
by e-wellbeing A rundown of both e-wellbeing difficulties are given and a proposed structure is likewise accommodated E-Health and could give direction in the execution of e-wellbeing To understand the motivation behind the paper, an inductive substance examination procedure was taken after. The
fundamental outcomes were that in spite of the fact that the difficulties exceeds the advantages in the gave records, there is still trust that through appropriate ICT arrangements the advantages of e-wellbeing can develop all the more quickly. This can prompt to enhanced e-wellbeing administration conveyance and nationals in nations can all profit by this.
Modern Era of Medical Field : E-HealthFull Text ijbbjournal
E-Health is alluded to as utilizing of information and communication technologies (ICT) in restorative field
to control treatment of patients, research, and wellbeing training and checking of general wellbeing. The
reason for this paper is thusly to investigate an institutionalized system for E-Health challenges confronted
by e-wellbeing A rundown of both e-wellbeing difficulties are given and a proposed structure is likewise
accommodated E-Health and could give direction in the execution of e-wellbeing To understand the
motivation behind the paper, an inductive substance examination procedure was taken after. The
fundamental outcomes were that in spite of the fact that the difficulties exceeds the advantages in the gave
records, there is still trust that through appropriate ICT arrangements the advantages of e-wellbeing can
develop all the more quickly. This can prompt to enhanced e-wellbeing administration conveyance and
nationals in nations can all profit by this
Proposed Model for Chest Disease Prediction using Data Analyticsvivatechijri
Chest diseases if not properly diagnosed in early stages can be fatal. Because of lack of skilled
knowledge or experiences of real life practitioners, many a times one chest disease is wrongly diagnosed for the
other, which leads to wrong treatment. Due to this the actual disease keeps on growing and become fatal. For
example, muscular chest pains can be treated for the heart disease or COPD is treated for Asthma. Early
prediction of chest disease is crucial but is not an easy task. Consequently, the computer based prediction system
for chest disease may play a significant role as a pre-stage detection to take proper actions with a view to recover
from it. However the choice of the proper Data Mining classification method can effectively predict the early
stage of the disease for being cured from it. In this paper, the three mostly used classification techniques such as
support vector machine (SVM), k-nearest neighbour (KNN) and artificial neural network (ANN) have been studied
with a view to evaluating them for chest disease prediction.
E-HEALTH BIOSENSOR PLATFORM FOR NONINVASIVE HEALTH MONITORING FOR THE ELDERLY...ijbesjournal
New technologies in the field of tele-health using biosensor systems for non-invasive vital signs monitoring of patients, especially elderly people who need long-term care, and marginalized areas with hard to reach health care services are emerging. A study involving a self-care approach within the cardiac domain, where late detection increases the likelihood of patient disability or of premature death is proposed. In the
study the application of e-health biosensors platform in medical services is experimented. The study resulted into the synthesis of vital signs from various body positions with biosensors that does not require a full coupled system. A model for the prevention of cardiovascular disease management based on noninvasive personal health monitoring systems with easy access for everybody, at any time or location is designed. A personal vital sign system such as ECG sensor which contain the functionality, allows recording anywhere and at any time a diagnostic quality ECG and analyzing it “on-board” by comparing it to a reference ECG, is modelled. The model called Mobile Health for the Elderly Persons (MOHELP)
which relies on with application in estimation and control of boolean processes based on noisy and incomplete measurements is designed. This enabled a reliable recommendation from a digital artificial intelligence-based diagnosis, which can support an elderly person to take timely and correct decisions upon his (her) health status. In a case of urgency, the assistant puts the elderly person in a contact with
healthcare providers. The signal pattern sensitivity related to sensors placement is one of the issues this study addressed using e-sensor platform. Sensors displacement errors have a direct impact on the medical diagnosis, especially if the diagnostic procedure is automated. The study resulted into the formulation of a methodology for e-Health Sensor Platform, in software architecture terms, that permits use of system
biosensors to adapt to the user-specific context for self-healthcare
Austin Aging Research is an open access, peer reviewed, scholarly journal dedicated to publish articles covering all areas of Aging Research.
The journal aims to promote research communications and provide a forum for doctors, researchers, physicians and healthcare professionals to find most recent advances in all areas of Aging Research. Austin Aging Research accepts original research articles, reviews, mini reviews, case reports and rapid communication covering all aspects of Aging Research.
Austin Aging Research strongly supports the scientific up gradation and fortification in related scientific research community by enhancing access to peer reviewed scientific literary works. Austin Publishing Group brings universally peer reviewed journals under one roof thereby promoting knowledge sharing, mutual promotion of multidisciplinary science.
A gsm based intelligent wireless mobile patient monitoring systemeSAT Journals
Abstract Monitoring one’s heart rate and body temperature continuously from a remote area is impossible for a medical expert by using typical monitoring devices. To overcome this problem we can implement a GSM based system using microcontroller and LM35 sensor which is low-cost and use-friendly. Here, a heart beat sensor is used to detect the heart rate and an LM35 sensor to sense the body temperature. These signals are processed by a PIC microcontroller. Then, an SMS alert will be sent to the medical expert by using a GSM module. Thus, doctors can monitor the health condition of a patient continuously from a remote place and can suggest the patient about taking an immediate remedy. As a result, we can save many lives by providing them a quick service using this system. Keywords: Telemedicine, Remote monitoring system, Heart Beat Rate, Body Temperature, Photoplethysmograph, LM35, Microcontroller, GSM Modem etc…
ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
Title: Sense of Smell
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
Couples presenting to the infertility clinic- Do they really have infertility...Sujoy Dasgupta
Dr Sujoy Dasgupta presented the study on "Couples presenting to the infertility clinic- Do they really have infertility? – The unexplored stories of non-consummation" in the 13th Congress of the Asia Pacific Initiative on Reproduction (ASPIRE 2024) at Manila on 24 May, 2024.
Recomendações da OMS sobre cuidados maternos e neonatais para uma experiência pós-natal positiva.
Em consonância com os ODS – Objetivos do Desenvolvimento Sustentável e a Estratégia Global para a Saúde das Mulheres, Crianças e Adolescentes, e aplicando uma abordagem baseada nos direitos humanos, os esforços de cuidados pós-natais devem expandir-se para além da cobertura e da simples sobrevivência, de modo a incluir cuidados de qualidade.
Estas diretrizes visam melhorar a qualidade dos cuidados pós-natais essenciais e de rotina prestados às mulheres e aos recém-nascidos, com o objetivo final de melhorar a saúde e o bem-estar materno e neonatal.
Uma “experiência pós-natal positiva” é um resultado importante para todas as mulheres que dão à luz e para os seus recém-nascidos, estabelecendo as bases para a melhoria da saúde e do bem-estar a curto e longo prazo. Uma experiência pós-natal positiva é definida como aquela em que as mulheres, pessoas que gestam, os recém-nascidos, os casais, os pais, os cuidadores e as famílias recebem informação consistente, garantia e apoio de profissionais de saúde motivados; e onde um sistema de saúde flexível e com recursos reconheça as necessidades das mulheres e dos bebês e respeite o seu contexto cultural.
Estas diretrizes consolidadas apresentam algumas recomendações novas e já bem fundamentadas sobre cuidados pós-natais de rotina para mulheres e neonatos que recebem cuidados no pós-parto em unidades de saúde ou na comunidade, independentemente dos recursos disponíveis.
É fornecido um conjunto abrangente de recomendações para cuidados durante o período puerperal, com ênfase nos cuidados essenciais que todas as mulheres e recém-nascidos devem receber, e com a devida atenção à qualidade dos cuidados; isto é, a entrega e a experiência do cuidado recebido. Estas diretrizes atualizam e ampliam as recomendações da OMS de 2014 sobre cuidados pós-natais da mãe e do recém-nascido e complementam as atuais diretrizes da OMS sobre a gestão de complicações pós-natais.
O estabelecimento da amamentação e o manejo das principais intercorrências é contemplada.
Recomendamos muito.
Vamos discutir essas recomendações no nosso curso de pós-graduação em Aleitamento no Instituto Ciclos.
Esta publicação só está disponível em inglês até o momento.
Prof. Marcus Renato de Carvalho
www.agostodourado.com
These lecture slides, by Dr Sidra Arshad, offer a quick overview of physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar leads (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Ve...kevinkariuki227
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
NVBDCP.pptx Nation vector borne disease control programSapna Thakur
NVBDCP was launched in 2003-2004 . Vector-Borne Disease: Disease that results from an infection transmitted to humans and other animals by blood-feeding arthropods, such as mosquitoes, ticks, and fleas. Examples of vector-borne diseases include Dengue fever, West Nile Virus, Lyme disease, and malaria.
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Testicular torsion refers to twisting of the spermatic cord, causing ischaemia of the testicle.
Testicular torsion results from inadequate fixation of the testis to the tunica vaginalis producing ischemia from reduced arterial inflow and venous outflow obstruction.
The prevalence of testicular torsion in adult patients hospitalized with acute scrotal pain is approximately 25 to 50 percent
Flu Vaccine Alert in Bangalore Karnatakaaddon Scans
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Residents are reminded that the flu vaccine is safe and effective. Common side effects are mild and may include soreness at the injection site, mild fever, or muscle aches. These side effects are generally short-lived and far less severe than the flu itself.
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Paper Alberto Esteban - Distributed and synchronized users’ profile management for Ambient Assisted Living services
1. Distributed and synchronized users’ profile
management for Ambient Assisted Living
A. Esteban#1, V. Jimenez-Mixco#2, M.F. Cabrera-Umpiérrez#3, M.T. Arredondo#4
#
Life-Supporting Technologies, UPM
C/Ciudad Universitaria s/n
ETSI Telecomunicación
28040 Madrid-SPAIN
1
aesteban@lst.tfo.upm.es
2
vjimenez@lst.tfo.upm.es
3
chiqui@lst.tfo.upm.es
4
mta@lst.tfo.upm.es
Abstract—This paper presents the Oasis Health Monitoring OHMS allows physicians to perform continuous
System (OHMS), developed within the EU FP7 funded project monitoring of the elderly, through a distributed system of
OASIS, as a new approach for the next generation of monitoring personalized and synchronized XML profiles. This solution
systems. ensures that the accessed information is updated and validated
OHMS allows physicians to perform continuous
monitoring of the elderly patient, through a distributed system of
in both sides of the communication channel, the elderly and
synchronized XML profiles. This solution ensures that the physician clients, through the use of Web Service technology
accessed information is updated and validated in both sides of and OSGi architecture [4]. Thus, the information is always up-
the communication, the elderly and physician clients, through the to-date in order ensure the well-being of the elderly.
use of Web Service technology and OSGi architecture. The health profile is the main element used to personalise
The OHMS will be tested within OASIS pilots in the OHMS. This profile is generated for every user, allowing
several European countries, where the system functionalities will the system to be more effective and to personalize the services
be assessed in a semi-controlled environment. The outcomes of offered to the elderly [5][6][7]. In addition, the elderly safety
these tests will help to validate the OHMS model and objectives. increase as the OHMS knows in advance possible risky
I. INTRODUCTION situations alerting relatives and caregivers. Each profile stores
valuable information of the elderly, such as the general
Due to improvements occurring within health care medical history, medication schedule and the measurements
systems, longevity has increased and the age distribution of taken with several biomedical off the shelf sensors with
the population in industrialized countries has shifted towards Bluetooth capabilities. Moreover, the health profile contains a
older age groups. This noticeable aging will continue over the pre-defined protocol in order to manage this information.
next decades. Depending on the specific health condition of the user, the
Moreover, European Union elderly people dependency protocol defines a set of vital signs and activity signals that
ratio is expected to increase substantially from its current should be regularly measured and controlled, and also the
levels of 25.4% to 53.5% in 2060[1]. As a result, a large ranges of these parameters in order to set the urgency of
number of older people will require attention on a daily bases, response in case of emergency, thus the OHMS reacts
however they would prefer to continue living independently accordingly depending on the situation [6]. If the physician
instead of moving to residences or relative`s home. Elderly decides to change the user medication, the OHMS is able to
people feel safer about their mobility if they can get help in notify users the medication changes and generate reminders at
critical situations. So, the elderly’s quality of life will heavily the right time [3].
depend on the efficiency, comfort and safety of their home’s The next section explains in details the materials and
health care systems [2][3][4]. methods used in this project to obtain the results.
In order to keep the elderly’s health in an optimal status it
is essential the development of effective monitoring systems.
This paper presents the Oasis Health Monitoring System II. MATERIALS AND METHODS
(OHMS), developed within the EU FP7 funded project OASIS, The project life cycle was divided in three iterative phases
as a new approach for the next generation of health (conceptualization, implementation and deployment),
monitoring systems. involving medical experts and patients at all the stages,
Nowadays, most of the remote monitoring healthcare evaluating the system in the different phases.
solutions operate in a non continuous way, allowing the
physician to monitor the patient’s conditions periodically,
sending the measurements by asynchronous methods.
Moreover, these solutions are not personalised.
2. A. Profile description B. Biomedical sensors
The user’s profile is an essential part of the OHMS. Every Several biomedical off the shelf sensors with Bluetooth are
profile stores valuable information of the elderly. According used to perform continuous monitoring of the elderly. These
to this information, the system personalizes its behavior sensors measure blood pressure, heart rate, blood glucose,
[5][6][7]. The information is classified as shown in Table 1. weight, activity, electrocardiogram and oxygen saturation.
Blood pressure and ECG sensors are shown in figure 1.
1) General information: contains information about the
user like name, age, affiliation, phone, relative’s
name, relative’s phone, reference doctor, reference
hospital and other demographic information [5]. This
information is entered by the elderly and the
physician.
TABLE I
USER PROFILE PROPERTIES CLASSIFICATION
Properties group Write Launch Helps taking Fig. 1 Blood pressure and ECG sensors
Permission Alerts decisions
General Physician NO NO Blood pressure, weight and blood glucose sensors send the
Information and elderly values to the user’s personal computer after the measurements
General Health Physician NO YES
are taken, while electrocardiogram, oxygen saturation and
Information
activity sensors send the values during the acquisition process.
Treatment, Physician YES YES
recommendations, and system The oxygen saturation sensor is a special case. While the
measurements others get a new value every one or two seconds, this one gets
more or less one hundred measurements per second. This
2) General health information: contains information enormous amount of information is handled carefully, to
about the user’s health. The most important field is avoid the lost of out of range measurements that could
the health condition that describes the diseases generate a risk situation.
suffered by the elderly. This property allows the C. Vital signs classification
system to select the adequate measurements to be
taken by the biomedical sensors and the values of the The vital signs measurements need to be real time treated to
thresholds that will trigger the alerts. This control risk situations and ensure the well-being of the elderly.
information is inserted by the physician. The vital signs classification allows the system to know
3) Treatments, recommendations and measurements: which decision is the right one. This is the reason why it is
contains information about the treatments [3], necessary to set up different thresholds in order to manage the
recommendations and measurements values. This properties changes. The physician can choose the ranges
group of properties is the most important. Table 2 among four categories:
shows the fields and the decisions taken according to
the stored values. 1) NORMAL: safe situation. The measurement is correct
and between the limits.
TABLE II 2) TO BE CONTROLLED: possible risky situation. The
TREATMENTS, RECOMMENDATIONS AND MEASUREMENTS
measurement is correct, but the user should know his
Properties group Description Decision health status.
Medication Describes the Reminds the user 3) URGENT: risky situation. The measurement is above
medication the user to take the or below the threshold and the user needs immediate
takes. medication. attention by a medical doctor.
Biomedical Biomedical sensors Triggers the 4) EMERGENCY: emergency situation. The
parameters values of the last control of changes
measurement is completely out of and the elderly
measurement taken by that sends the
the user. alerts needs imminent attention by a medical doctor.
Recommended Measurements the Decides what kind D. Profile management
measurements user should monitor. of alert should be
Also stores for each sent. The creation of an individual, dynamic and personalized
biomedical parameter user’s profile requires the collection of information explicitly
the ranges of values or implicitly, through direct patient or physician intervention
that classify the or through sensors that monitor the users’ vital signs [5].
measurement.
The method applied to handle the profile information
ensures two main objectives: the adequate reading and writing
3. and the real time assessment of the changes in the properties. field also allow the system to trigger the listener when new
The controlled reading and writing prevents simultaneous values are received (see table 4).
writing in one profile property, avoiding inconsistencies TABLE IV
within the information. The real time assessment enables to SINGLE PROPERTY STRUCTURE
control properties changes: if a critical property is modified
(e.g. the elderly vital signs) the system takes the appropriate Field Description
decisions according to the established protocol. Entry Property name
Time Timestamp of the last change
E. Profiles network communication Type Type of value stored
The Web Services are the selected tool for network Value Property value
communications [8][9]. Through this technology the
application ensures the communication security and also the B. Profile Web Service
synchronization between the local profile in the user’s device
and the remote one in the Profile Web service. The system’s core is the Profile Web Service [8][9]. It is
located in the server where the user’s XML profiles are stored.
III. RESULTS This web service is accessed through the “Profile Manager”
OSGi bundle and the Profile Web Service stub [4]. This part
The OHMS system model has three different components:
Profile Web Service, Profile Manager bundle and Web of the system controls the reading and writing. Thus, the
Service stub. All of them interact with each other, having a Profile Web Service ensures properties to always be up-to-
date and valid.
local copy of the XML Profile, as shown in Fig. 2.
C. Profile Manager Bundle
Fig. 2 OHMS system model The Profile Manager is a OSGi bundle [4]. This
component is located in the patient personal computer. This
bundle allows reading and writing properties of the user
profile, and also listening changes in the profile. The Profile
Manager listener follows an actuation protocol. This protocol
controls information changes in order to inform the user, give
him advices or ensure his well-being [5]. The protocol is
depicted in Fig. 3. First of all, the protocol checks if the value
of the property is different from the stored one. If the value
does not change no action is taken. Then, the protocol checks
the type of the property (the group it belongs to). Once the
system knows the property and its value, one of the next steps
is followed:
1) Change recommended measurements properties: if the
health condition changes, which involve changes in the
diseases the elderly suffers, other properties need to be
A. Profile XML changed as well (e.g. which measurements the user
needs to take).
The profile XML has been implemented following the 2) Send alert: if a vital sign is out of range the system
profile description described previously. In order to validate sends an alert.
the XML files created, an XML Schema has been 3) Send notification: changes in the profile properties
implemented. The fields structure of the Schema is shown in should be notified to the elderly.
Table 3.
TABLE III Values coming from the oxygen saturation sensor receive a
SCHEMA SINGLE PROPERTY STRUCTURE special treatment: all the values are controlled but only
Field Description relevant changes are stored in the profile (e.g. values out of
Key Property name to validate range).
Default Default value of the property
Type Type of value stored
D. Profile Web Service stub
Description Description of the property
The Profile Web Service stub allows reading and writing
The profile XML field structure allows ensuring the main properties of the user profile. This component is located in the
objectives of the system. First, the Time field controls the physician personal computer. Using this web service, the
writing and reading, avoiding inconsistencies. The values physician can: notify changes in the medication,
received with an old time stamp are rejected. Second, this
4. Fig. 3 Profile Manager Actuation protocol
change the recommended measurements and receive alerts [4] Novais, P., Costa, R., Carneiro, D., Machado, J., Lima, L., Neves, J.,
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[5] S. Gauch1, M. Speretta1, A. Chandramouli1, A. Micarelli, User
This paper has presented the user’s profile management Profiles for Personalized Information Access, Lecture Notes in
approach applied in the development of the OHMS, that is a Computer Science, Berlin, Germany: Springer, 2007, vol. 4.
solid tool for controlling the health status of the elderly.
This solution for managing the user’s health profile [6] P. Moraitis1, N. Spanoudakis, “Agent Architecture for Providing
implements a distributed system of XML profiles, focusing on Accessibility Content and Services in an Ambient Intelligence
Context” in ASK-IT International Conference ,October 2006
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ensuring that the stored information is always valid and up-to- mainstream of e-society: the vital project” in IADIS International
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causing reception errors have been solved through “Designing web services in health information systems: From process
to application level”, international journal of medical informatics, vol.
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214, 2004.
European countries, where the system functionalities will be
assessed in a semi-controlled environment. The outcomes of
these tests will help to validate the OHMS model and
objectives.
ACKNOWLEDGMENT
This work has been carried out as part of the OASIS
project co-funded by the European Commission under the
Seventh Framework Programme. Authors would like to thank
the OASIS consortium for their valuable contribution to this
work.
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