Intelligent Sensors for Health Management

2011 ◽  
pp. 405-418
Author(s):  
Gary W. Hunter ◽  
Lawrence G. Oberle ◽  
George Y. Baaklini ◽  
Jose M. Perotti ◽  
Todd Hong
Keyword(s):  
Health Management ◽  
Intelligent Sensors

Intelligent Sensors for Integrated Health Management Systems

2006 ◽  
Author(s):  
Christopher Oesch ◽  
Ajay Mahajan ◽  
Lucas Utterback ◽  
Haricharan Padmanaban ◽  
Sanjeevi Chitikeshi ◽  
...  
Keyword(s):  
Systems Approach ◽  
Health Management ◽  
Digital Data ◽  
Integrated Systems ◽  
Smart Devices ◽  
Software Environment ◽  
Confidence Factor ◽  
Intelligent Sensors ◽  
Learning Capabilities ◽  
Processing And Storage

This paper describes work being conducted on the development of intelligent sensors with learning capabilities as part of an integrated systems approach. The integrated systems approach treats the sensor as a complete system with its own sensing hardware (the traditional sensor), A/D converter, processing and storage capabilities, software drivers, self-assessment algorithms, communication protocols and evolutionary methodologies that allow the system to learn its own behavior. The immediate application is the monitoring of rocket test stands, but the technology should be generally applicable to the Integrated Systems Health Monitoring (ISHM) vision. This paper outlines progress made in the development of intelligent sensors by describing the work done till date on Physical Intelligent Sensors (PIS) and Virtual Intelligent Sensors (VIS). The PIS as discussed here consists of a thermocouple used to read temperature in an analog form which is then converted into digital values. A microprocessor collects the sensor readings and runs numerous embedded event detection routines on the digital data. If any event, i.e. spike, drift, noise, is detected, it is reported, stored and sent to a remote system through an Ethernet connection. Hence the output of the PIS is data coupled with a confidence factor in the reliability of the data. The VIS discussed here is a virtual implantation of the PIS in the G2 software environment. The VIS is designed to mirror the operations of the PIS; however, the VIS works on a computer at which digital data is provided as the input. This work lays the foundation for the next generation of smart devices that have embedded intelligence for distributed decision making capabilities.

scholarly journals Physical and Virtual Intelligent Sensors for Integrated Health Management Systems

2012 ◽  
Vol 5 (3) ◽  
pp. 559-575 ◽  
Author(s):  
Ajay Mahajan ◽  
Christopher Oesch ◽  
Haricharan Padmanaban ◽  
Lucas Utterback ◽  
Sanjeevi Chitikeshi ◽  
...  
Keyword(s):  
Health Management ◽  
Management Systems ◽  
Intelligent Sensors ◽  
Integrated Health

Körperliche Beschwerden bei älteren Migranten in Deutschland 1Erstellt unter Mitwirkung der Arbeitsgruppe «Abuse of the Elderly in the European Region» (ABUEL): Joaquim F. J. Soares, Department of Public Health Sciences, Karolinska Institute, Stockholm, Sweden; Francisco Torres-González, Departmental Section of Psychiatry and Psychological Medicine, University of Granada, Spain; Elisabeth Ioannidi-Kapolou, National School of Public Health, Department of Sociology, Athens, Greece; Giovanni Lamura, Italian National Research Centre on Ageing Department of Gerontological Research, Unit of Health Economics, Ancona, Italy; Mindaugas Stankunas, Kaunas University of Medicine, Department of Health Management, A. Mickeviciaus, Kaunas, Lithuania; Henrique Barros, Department of Hygiene and Epidemiology, University of Porto Medical School, Porto, Portugal.

2010 ◽  
Vol 58 (3) ◽  
pp. 199-206 ◽  
Author(s):  
Rosina-Martha Csöff ◽  
Gloria Macassa ◽  
Jutta Lindert
Keyword(s):  
Public Health ◽  
Health Management ◽  
The Elderly ◽  
Health Department ◽  
Research Unit ◽  
Research Centre ◽  
Public Health Department ◽  
Karolinska Institute ◽  
Psychological Medicine ◽  
Körperliche Beschwerden

Körperliche Beschwerden sind bei Älteren weit verbreitet; diese sind bei Migranten bislang in Deutschland und international noch wenig untersucht. Unsere multizentrische Querschnittstudie erfasste körperliche Beschwerden bei Menschen im Alter zwischen 60 und 84 Jahren mit Wohnsitz in Stuttgart anhand der Kurzversion des Gießener Beschwerdebogens (GBB-24). In Deutschland wurden 648 Personen untersucht, davon 13.4 % (n = 87) nicht in Deutschland geborene. Die Geschlechterverteilung war bei Migranten und Nichtmigranten gleich; der sozioökonomische Status lag bei den Migranten etwas niedriger: 8.0 % (n = 7) der Migranten und 2.5 % (n = 14) der Nichtmigranten verfügten über höchstens vier Jahre Schulbildung; 12.6 % (n = 11) der Migranten und 8.2 % (n = 46) der Nichtmigranten hatten ein monatliches Haushaltsnettoeinkommen von unter 1000€; 26.4 % der Migranten und 38.1 % (n = 214) der Nichtmigranten verfügten über mehr als 2000€ monatlich. Somatische Beschwerden lagen bei den Migranten bei 65.5 % (n = 57) und bei den Nichtmigranten bei 55.8 % (n = 313). Frauen wiesen häufiger somatische Beschwerden auf (61.8 %) als Männer (51.8 %). Mit steigendem Alter nahmen somatische Beschwerden zu. Mit Ausnahme der Altersgruppe der 70–74-Jährigen konnte kein signifikanter Unterschied zwischen Migranten und Nichtmigranten hinsichtlich der Häufigkeit körperlicher Beschwerden gezeigt werden. Ausblick: Es werden dringend bevölkerungsrepräsentative Studien zu körperlichen Beschwerden bei Migranten benötigt.

Disease-Specific Stressors Among Youths With HIV/AIDS: Toward Tailored Health Management

2006 ◽  
Author(s):  
Lisa A. Orban ◽  
Renee Stein ◽  
Linda J. Koenig ◽  
Erika L. Rexhouse ◽  
Ricardo D. Lagrange ◽  
...  
Keyword(s):  
Health Management ◽  
Disease Specific ◽  
Hiv Aids

On-farm udder health monitoring

2011 ◽  
Vol 39 (02) ◽  
pp. 95-100
Author(s):  
J. C. van Veersen ◽  
O. Sampimon ◽  
R. G. Olde Riekerink ◽  
T. J. G. Lam
Keyword(s):  
Management Practices ◽  
Health Management ◽  
Action Plan ◽  
Real Life ◽  
Health Data ◽  
Control Points ◽  
Udder Health ◽  
Critical Control Points ◽  
On Farm ◽  
Clinical Problems

SummaryIn this article an on-farm monitoring approach on udder health is presented. Monitoring of udder health consists of regular collection and analysis of data and of the regular evaluation of management practices. The ultimate goal is to manage critical control points in udder health management, such as hygiene, body condition, teat ends and treatments, in such a way that results (udder health parameters) are always optimal. Mastitis, however, is a multifactorial disease, and in real life it is not possible to fully prevent all mastitis problems. Therefore udder health data are also monitored with the goal to pick up deviations before they lead to (clinical) problems. By quantifying udder health data and management, a farm is approached as a business, with much attention for efficiency, thought over processes, clear agreements and goals, and including evaluation of processes and results. The whole approach starts with setting SMART (Specific, Measurable, Acceptable, Realistic, Time-bound) goals, followed by an action plan to realize these goals.

An Overview of Digital Health in the Transition of Pediatric to Adult Epilepsy Care

2020 ◽  
Vol 09 (04) ◽  
pp. 106-113
Author(s):  
Ysabeau Bernard-Willis ◽  
Emily De Oliveira ◽  
Shaheen E Lakhan
Keyword(s):  
Health Management ◽  
Digital Health ◽  
Health Care Systems ◽  
Well Being ◽  
Pediatric Care ◽  
Medical Mistrust ◽  
Patient Portals ◽  
Language Therapy ◽  
Adult Care ◽  
Care Systems

AbstractChildren with epilepsy often have impairments in cognitive and behavioral functioning which may hinder socio-occupational well-being as they reach adulthood. Adolescents with epilepsy have the added worry of health problems while starting the transition from family-centered pediatric care into largely autonomous adult care. If this transition is not appropriately planned and resourced, it may result in medical mistrust, nonadherence, and worsening biopsychosocial health as an adult. In recent years, there has been increased availability of digital health solutions that may be used during this stark change in care and treating teams. The digital health landscape includes a wide variety of technologies meant to address challenges faced by patients, caregivers, medical professionals, and health care systems. These technologies include mobile health products and wearable devices (e.g., seizure monitors and trackers, smartphone passive data collection), digital therapeutics (e.g., cognitive/behavioral health management; digital speech–language therapy), telehealth services (e.g., teleneurology visits), and health information technology (e.g., electronic medical records with patient portals). Such digital health solutions may empower patients in their journey toward optimal brain health during the vulnerable period of pediatric to adult care transition. Further research is needed to validate and measure their impact on clinical outcomes, health economics, and quality of life.

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