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Dive into the research topics where Eric McAdams is active.

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Featured researches published by Eric McAdams.


international conference of the ieee engineering in medicine and biology society | 2005

Flexible technologies and smart clothing for citizen medicine, home healthcare, and disease prevention

Fabrice Axisa; Pierre Michael Schmitt; Claudine Gehin; Georges Delhomme; Eric McAdams; A. Dittmar

Improvement of the quality and efficiency of healthcare in medicine, both at home and in hospital, is becoming more and more important for patients and society at large. As many technologies (micro technologies, telecommunication, low-power design, new textiles, and flexible sensors) are now available, new user-friendly devices can be developed to enhance the comfort and security of the patient. As clothes and textiles are in direct contact with about 90% of the skin surface, smart sensors and smart clothes with noninvasive sensors are an attractive solution for home-based and ambulatory health monitoring. Moreover, wearable devices or smart homes with exosensors are also potential solutions. All these systems can provide a safe and comfortable environment for home healthcare, illness prevention, and citizen medicine.


international conference of the ieee engineering in medicine and biology society | 2009

A wearable, low-power, health-monitoring instrumentation based on a programmable system-on-chip TM

Bertrand Massot; Claudine Gehin; Ronald Nocua; A. Dittmar; Eric McAdams

Improvement in quality and efficiency of health and medicine, at home and in hospital, has become of paramount importance. The solution of this problem would require the continuous monitoring of several key patient parameters, including the assessment of autonomic nervous system (ANS) activity using non-invasive sensors, providing information for emotional, sensorial, cognitive and physiological analysis of the patient. Recent advances in embedded systems, microelectronics, sensors and wireless networking enable the design of wearable systems capable of such advanced health monitoring. The subject of this article is an ambulatory system comprising a small wrist device connected to several sensors for the detection of the autonomic nervous system activity. It affords monitoring of skin resistance, skin temperature and heart activity. It is also capable of recording the data on a removable media or sending it to computer via a wireless communication. The wrist device is based on a Programmable System-on-Chip (PSoCTM) from Cypress: PSoCs are mixed-signal arrays, with dynamic, configurable digital and analogical blocks and an 8-bit Microcontroller unit (MCU) core on a single chip. In this paper we present first of all the hardware and software architecture of the device, and then results obtained from initial experiments.


IEEE Sensors Journal | 2012

EmoSense: An Ambulatory Device for the Assessment of ANS Activity—Application in the Objective Evaluation of Stress With the Blind

Bertrand Massot; Nicolas Baltenneck; Claudine Gehin; A. Dittmar; Eric McAdams

Analysis of autonomic nervous system activity is a subject of increasing interest in the fields of health care and handicap management, as it provides information on the emotional, sensorial, and cognitive states of the patient. In this context, the simultaneous measurement of several physiological signals using small, discreet, mobile devices is required, in order to unobtrusively obtain such information under real-life conditions. We have therefore developed an ambulatory device which enables the measurement of heart rate, electrodermal activity, and skin temperature with noninvasive sensors. Wireless communication and local data storage on a memory card enables the device to be used during in-situ experiments for the analysis of autonomic nervous system activity. We have used this instrumentation in a study for the objective evaluation of stress in the blind when walking in urban space, through the analysis of electrodermal activity of blind pedestrians who independently followed a charted course involving a range of urban conditions. Experimenting in real-life settings has lead to the definition of novel, more pertinent parameters for the analysis of physiological signals in the study of autonomic nervous system activity. Results from these experiments have identified, for the first time, some rather surprising obstacles or events which give rise to an increased stress for the blind. These results were very encouraging for the use of such ambulatory devices for experiments under real- life conditions.


Archive | 2010

Biomedical Sensors for Ambient Assisted Living

Eric McAdams; Claudine Gehin; Norbert Noury; C. Ramon; Ronald Nocua; Bertrand Massot; Aurélien Oliveira; A. Dittmar; Chris D. Nugent; Jim McLaughlin

The percentage of the population classified as being elderly has been predicted to increase dramatically in size over the next 30-40 years. Figures produced by the World Health Organisation (WHO) anticipate an increase from around 600 million in the year 2000 to close to 2 billion by the year 20501. By 2050, 22% of the world’s population will be over 602 in Europe it will be over 30%3. In addition, according to the WHO, approximately 10% of the population experience some form of disability. Already 21% of people above the age of 50 have severe vision, hearing and/or mobility problems.


international conference of the ieee engineering in medicine and biology society | 2009

Evaluation of the autonomic nervous system for fall detection

Ronald Nocua; Norbert Noury; Claudine Gehin; A. Dittmar; Eric McAdams

Studies show that the proportion of elderly will reach 30% of the total population by 2050 in developed countries, such as France. The elderly live generally alone, thus many health problems related to age are under reported. Falling is one of these problems and several devices have been developed recently, based on accelerometers, in order to detect it and alert carers. In order to improve the detection success of these devices, we propose quantifying autonomic nervous system activity (ANS) using a wearable ambulatory device developed for this purpose. We studied the A.N.S’s response on 7 adult subjects during simulated falls and standing-lying transitions. We implemented a classification method using the Support Vector Machine in order to classify these two situations using measured heart rate variability and electrodermal response. Good results (sensibility = 3D70.37%, specificity = 3D80%, positive predictor = 3D73.8%) were obtained using a Polynomial kernel (p = 3D 5) for the support vector machine implementation.


international conference of the ieee engineering in medicine and biology society | 2011

Wearable sensor systems: The challenges

Eric McAdams; Asta Krupaviciute; Claudine Gehin; Etienne Grenier; Bertrand Massot; A. Dittmar; Paul Rubel; Jocelyne Fayn

Given the soaring costs associated with the treatment of ever more prevalent chronic disease, it is widely agreed that a revolution is required in health care provision. It is often thought that the necessary technology already exists for the home-based monitoring of such patients and that it is other factors which are holding back the more widespread clinical uptake of these new tools. The authors suggest that the necessary sensor-related technologies are often not as advanced as may first appear; certainly they are generally not adequate for the robust, long-term monitoring of patients under real-life conditions. An additional problem is the evident efforts to apply a given sensor and related technology platform to any and all monitoring scenarios without sufficient consideration of patient needs and the clinical requirements. The authors review the key sensing platforms and suggest the applications for which they are best suited.


international conference of the ieee engineering in medicine and biology society | 2009

Thermal parameters measurement on fire fighter during intense fire exposition

A. Oliveira; Claudine Gehin; Georges Delhomme; A. Dittmar; Eric McAdams

To improve rescuer safety, coordination and efficiency, the European program ProeTEX aims at developing new equipment for the intervention staff. This equipment is based on micro and nanotechnologies and consisted of smart textile integrated sensor to monitor physiological parameters, environment of the rescuer but also acquisition module and communication module. Thermal parameters are of primer interest. Internal temperature, external temperature and heat flux are relevant parameters to prevent heat stroke in fire fighter when exposed to intense fire. These parameters are recorded during fire exposition and highlight, on one hand, that the outer garment of fire fighters’ equipment insulates the fire fighter from the external environment, and on the other hand, that the thermal monitoring is relevant.


Archive | 2011

Wearable Electronic Systems: Applications to Medical Diagnostics/Monitoring

Eric McAdams; Asta Krupaviciute; Claudine Gehin; A. Dittmar; Georges Delhomme; Paul Rubel; Jocelyne Fayn; Jad McLaughlin

The combination of an ageing population and the increase in chronic disease has greatly escalated health costs. It has been estimated that up to 75% of healthcare spending is on chronic disease management (mainly cardiovascular disease, cancer, diabetes and obesity) (World Health Organization 2010). It is now widely recognised that there is a need to radically change the present Healthcare systems, historically based on costly hospital-centred acute care, and make them more appropriate for the continuous home-based management of chronic diseases. The goals of the new approach are the improved management of the chronic disease through encouraging lifestyle changes and the effective early detection and treatment of any problem before it necessitates costly emergency intervention.


Behavior Research Methods | 2009

An integrated device to evaluate a driver's functional state

Antoine Clarion; C. Ramon; Claire Petit; A. Dittmar; J. P. Bourgeay; Aymeric Guillot; Claudine Gehin; Eric McAdams; Christian Collet

In the field of cognitive ergonomics, research on car drivers requires multimodal in-vehicle systems for recording not only driving-related behavior, but also contextual information from their surroundings. In addition, reliable information concerning a driver’s functional state should be obtained. In this article, we describe an integrated device simultaneously recording specific physiological data, video recordings of the driver and environment, parameters from the vehicle, and contextual data. Physiological signals from the autonomic nervous system provide objective and quantitative information on the driver’s alertness and his/her ability to process specific driving-related stimuli or other nonspecific information. Consequently, recorded physiological responses can be related to individual driving events. Electrodermal and cardiac activities are sensitive to time-dependent variations in arousal level and to certain external stimuli, so there is great interest in studying drivers’ behavior via measured physiological signals that have been established as suitable behavioral indicators. The present integrated device is capable of processing the relevant indices from raw measured data in real time.


Analyst | 1996

Surface modification of thin film gold electrodes for improved in vivo performance

Mark Hyland; James McLaughlin; Dao-Min Zhou; Eric McAdams

Thin film gold electrodes on flexible PTFE substrates are produced for medical implantation. The electrical interface impedance of the electrodes is measured in vitro as a function of surface roughness of the gold as quantified using atomic force microscopy. Alternating current impedance measurements show a linear relationship between the reactive component of the impedance and the surface roughness. Surface features below a few tens of nanometres root mean square deviation from the average surface height are shown to result in a reduction in interface impedance and improved matching to a 1% NaCl solution. The surface roughness of the gold is controlled using an electrolytic etch in an NaCl solution which causes electropitting and therefore allows the electrical characteristics of the interface to be influenced.

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Claudine Gehin

Institut national des sciences Appliquées de Lyon

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A. Dittmar

Institut national des sciences Appliquées de Lyon

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Georges Delhomme

Institut national des sciences Appliquées de Lyon

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Dareen Toumi

Institut national des sciences Appliquées de Lyon

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Etienne Grenier

Institut national des sciences Appliquées de Lyon

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