Guest editorial: special section on affective and pervasive computing for healthcare
This special section is focused on the novel and practical ways, and solid contributions, to improve affective computing and pervasive technologies. There are 19 papers in this special section.
Emotion recognition from EEG using higher order crossings
Electroencephalogram (EEG)-based emotion recognition is a relatively new field in the affective computing area with challenging issues regarding the induction of the emotional states and the extraction of the features in order to achieve optimum ...
A body sensor network with electromyogram and inertial sensors: multimodal interpretation of muscular activities
The evaluation of the postural control system (PCS) has applications in rehabilitation, sports medicine, gait analysis, fall detection, and diagnosis of many diseases associated with a reduction in balance ability. Standing involves significant muscle ...
What does your chair know about your stress level?
The inferred cost of work-related stress call for early prevention strategies. In this, we see a new opportunity for affective and pervasive computing by detecting early warning signs. This paper goes one step toward this goal. A collective of 33 ...
iCalm: wearable sensor and network architecture for wirelessly communicating and logging autonomic activity
- Richard Ribon Fletcher,
- Kelly Dobson,
- Matthew S. Goodwin,
- Hoda Eydgahi,
- Oliver Wilder-Smith,
- David Fernholz,
- Yuta Kuboyama,
- Elliott Bruce Hedman,
- Ming-Zher Poh,
- Rosalind W. Picard
Widespread use of affective sensing in healthcare applications has been limited due to several practical factors, such as lack of comfortable wearable sensors, lack of wireless standards, and lack of low-power affordable hardware. In this paper, we ...
Web2OHS: a Web2.0-based omnibearing homecare system
This study presents a Web2.0-based Omnibearing Homecare System (Web2OHS) that uses our proposed Application Layer Somecast (ALS) protocol for real-time interactions. Web2OHS provides omnibearing homecare and patientcare services for medical staff and ...
Using heterogeneous wireless sensor networks in a telemonitoring system for healthcare
Ambient intelligence has acquired great importance in recent years and requires the development of new innovative solutions. This paper presents a distributed telemonitoring system, aimed at improving healthcare and assistance to dependent people at ...
Experimental analysis of a mobile health system for mood disorders
Depression is one of the leading causes of disability. Methods are needed to quantitatively classify emotions in order to better understand and treat mood disorders. This research proposes techniques to improve communication in body sensor network (BSN) ...
A Multimodal interface device for online board games designed for sight-impaired people
Online games between remote opponents playing over computer networks are becoming a common activity of everyday life. However, computer interfaces for board games are usually based on the visual channel. For example, they require players to check their ...
A visual context-awareness-based sleeping-respiration measurement system
Due to the rapid growth of the elderly population, improving specific aspects of elderly healthcare has become more important. Sleeping care systems for the elderly are rare. In this paper, we propose a visual context-aware-based sleeping-respiration ...
On combining morphological component analysis and concentric morphology model for mammographic mass detection
Mammographic mass detection is an important task for the early diagnosis of breast cancer. However, it is difficult to distinguish masses from normal regions because of their abundant morphological characteristics and ambiguous margins. To improve the ...
SVM-based multimodal classification of activities of daily living in health smart homes: sensors, algorithms, and first experimental results
By 2050, about one third of the French population will be over 65. Our laboratory's current research focuses on the monitoring of elderly people at home, to detect a loss of autonomy as early as possible. Our aim is to quantify criteria such as the ...
Toward a highly accurate ambulatory system for clinical gait analysis via UWB radios
In this paper, we propose and investigate a low-cost and low-complexity wireless ambulatory human locomotion tracking system that provides a high ranging accuracy (intersensor distance) suitable for the assessment of clinical gait analysis using ...
Wheelchair detection using cascaded decision tree
One of the major goals of healthcare systems is to automatically monitor patients of special needs and alarm the caregivers for providing assistant. In this paper, an efficient single-camera multidirectional wheelchair detector based on a cascaded ...
Twin SVM for gesture classification using the surface electromyogram
Surface electromyogram (sEMG) is a measure of the muscle activity from the skin surface, and is an excellent indicator of the strength of muscle contraction. It is an obvious choice for control of prostheses and identification of body gestures. Using ...
On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data-mining-based approach for healthcare applications
- Christos A. Frantzidis,
- Charalampos Bratsas,
- Manousos A. Klados,
- Evdokimos Konstantinidis,
- Chrysa D. Lithari,
- Ana B. Vivas,
- Christos L. Papadelis,
- Eleni Kaldoudi,
- Costas Pappas,
- Panagiotis D. Bamidis
Recent neuroscience findings demonstrate the fundamental role of emotion in the maintenance of physical and mental health. In the present study, a novel architecture is proposed for the robust discrimination of emotional physiological signals evoked ...
Modeling the socially intelligent communication of health information to a patient's personal social network
This study examined how emotional proximity and gender affect people's information requirements when someone that they know is chronically or critically ill. In an online study, participants were asked what information they would want to receive about ...
A pervasive visual-haptic framework for virtual delivery training
Thanks to the advances of voltage regulator (VR) technologies and haptic systems, virtual simulators are increasingly becoming a viable alternative to physical simulators in medicine and surgery, though many challenges still remain. In this study, a ...
A novel middleware solution to improve ubiquitous healthcare systems aided by affective information
The arousal of emotion might have consequences for physical health is a broadly acknowledged idea. Therapy for depression, prevention for heart pathologies, and rehabilitation treatments for drug addiction are just a few examples of application domains ...
Enhancing battery efficiency for pervasive health-monitoring systems based on electronic textiles
Electronic textiles are regarded as one of the most important computation platforms for future computer-assisted health-monitoring applications. In these novel systems, multiple batteries are used in order to prolong their operational lifetime, which is ...
Guest editorial: special section on personal health systems
This special section on personal health systems (PHSs) features 13 papers in three main areas: new-micro-nano instrumentation, sensors, and sensor-based systems; new information processing technology via embedding intelligence in PHS; and PHS platforms ...
BIOTEX: biosensing textiles for personalized healthcare management
- Shirley Coyle,
- King-Tong Lau,
- Niall Moyna,
- Donal O'Gorman,
- Dermot Diamond,
- Fabio Di Francesco,
- Daniele Costanzo,
- Pietro Salvo,
- Maria Giovanna Trivella,
- Danilo Emilio De Rossi,
- Nicola Taccini,
- Rita Paradiso,
- Jacque-André Porchet,
- Andrea Ridolfi,
- Jean Luprano,
- Cyril Chuzel,
- Thierry Lanier,
- Frédéric Revol-Cavalier,
- Sébastien Schoumacker,
- Véronique Mourier,
- Isabelle Chartier,
- Reynald Convert,
- Henri De-Moncuit,
- Christina Bini
Textile-based sensors offer an unobtrusive method of continually monitoring physiological parameters during daily activities. Chemical analysis of body fluids, noninvasively, is a novel and exciting area of personalized wearable healthcare systems. ...
Remote wound monitoring of chronic ulcers
- Sonja A. Weber,
- Niall Watermann,
- Jacques Jossinet,
- J. Anthony Byrne,
- Jonquille Chantrey,
- Shabana Alam,
- Karen So,
- Jim Bush,
- Sharon O'Kane,
- Eric T. McAdams
Chronic wounds or ulcers are wounds that do not heal in the usual manner. This type of wound is most common in the elderly and in paraplegic patients with an estimated 1% of the population suffering from leg ulcers and the costs adding up to 4% of the ...
Comparative evaluation of susceptibility to motion artifact in different wearable systems for monitoring respiratory rate
- Antonio Lanatà,,
- Enzo Pasquale Scilingo,
- Elena Nardini,
- Giannicola Loriga,
- Rita Paradiso,
- Danilo De-Rossi
The purpose of this study is to comparatively evaluate the performance of different wearable systems based on indirect breathing monitoring in terms of susceptibility to motion artifacts. These performances are compared with direct respiratory ...
An overview of technologies related to care for venous leg ulcers
Venous leg ulcers remain a major problem in the United States, with spending reaching more than $1 billion annually. Current treatment options for this condition center around the use of compression therapy delivered by bandages, medical-grade stockings,...
Autoadaptivity and optimization in distributed ECG interpretation
This paper addresses principal issues of the ECG interpretation adaptivity in a distributed surveillance network. In the age of pervasive access to wireless digital communication, distributed biosignal interpretation networks may not only optimally ...
Toward a personal health society in cardiology
In this paper, we present a new generation of health services that has emerged due to the development of advanced information and communication technology (ICT) solutions, like the Enhanced Personal, Intelligent, and Mobile system for Early Detection ...
Discriminating stress from cognitive load using a wearable EDA device
The inferred cost of work-related stress call for prevention strategies that aim at detecting early warning signs at the workplace. This paper goes one step towards the goal of developing a personal health system for detecting stress. We analyze the ...
Automated nonlinear feature generation and classification of foot pressure lesions
Plantar lesions induced by biomechanical dysfunction pose a considerable socioeconomic health care challenge, and failure to detect lesions early can have significant effects on patient prognoses. Most of the previous works on plantar lesion ...
Structural action recognition in body sensor networks: distributed classification based on string matching
Mobile sensor-based systems are emerging as promising platforms for healthcare monitoring. An important goal of these systems is to extract physiological information about the subject wearing the network. Such information can be used for life logging, ...