Biomedical subjects

Vincent Rialle

Publications and source records attributed to Vincent Rialle.

8 recordsLinked to original sources

PubMed2006

Learning recurrent behaviors from heterogeneous multivariate time-series.

OBJECTIVE: For the last years, time-series mining has become a challenging issue for researchers. An important application lies in most monitoring purposes, which require analyzing large sets of time-series for learning usual patterns. Any deviation from this learned profile is then considered as an unexpected situation. Moreover, complex applications may involve the temporal study of several heterogeneous parameters. In that paper, we propose a method for mining heterogeneous multivariate time-series for learning meaningful patterns. METHODS: The proposed approach allows for mixed time-series - containing both pattern and non-pattern data - such as for imprecise matches, outliers, stretching and global translating of patterns instances in time. RESULTS: We present the results of our approach on synthetic data generated in the context of monitoring a person at home, as well as early results on few real sequences. The purpose is to build a behavioral profile of a person in their daily activities by analyzing the time variations of several quantitative or qualitative parameters recorded through a provision of sensors. CONCLUSIONS: The results are very promising. They also highlight the difficulty of tuning the parameters of the method.

Behavior↗

PubMed2006

Computational representation of Alzheimer's disease evolution applied to a cooking activity.

This article presents a computational model and a simulation of the decrease of activities of daily living performances due to Alzheimer's disease. The disease evolution is simulated thanks to the cognitive architecture ACT-R. Activities are represented according to the retrieval of semantic units in declarative memory and the trigger of rules in procedural memory. The simulation of Alzheimer's disease decrease is simulated thanks to the variation of subsymbolic parameters. The model is applied to a cooking activity. Simulation of 100 hundred subjects shows results similar to those realised in a standardized assessment with human subjects.

Alzheimer Disease↗

PubMed2005

Environmental cognitive remediation in schizophrenia: ethical implications of "smart home" technology.

OBJECTIVE: In light of the advent of new technologies, we proposed to reexamine certain challenges posed by cognitive remediation and social reintegration (that is, deinstitutionalization) of patients with severe and persistent mental disorders. METHOD: We reviewed literature on cognition, remediation, smart homes, as well as on objects and utilities, using medical and computer science electronic library and Internet searches. RESULTS: These technologies provide solutions for disabled persons with respect to care delivery, workload reduction, and socialization. Examples include home support, video conferencing, remote monitoring of medical parameters through sensors, teledetection of critical situations (for example, a fall or malaise), measures of daily living activities, and help with tasks of daily living. One of the key concepts unifying all these technologies is the health-smart home. We present the notion of the health-smart home in general and then examine it more specifically in relation to schizophrenia. CONCLUSION: Management of people with schizophrenia with cognitive deficits who are being rehabilitated in the community can be improved with the use of technology; however, such technology has ethical ramifications.

Cognitive Behavioral Therapy↗

PubMed2005

Which Graphical Approaches should be Used to Represent Medical Knowledge?

Medical knowledge is growing both in quantity and complexity. Although sources of medical knowledge have been digitalized, the way the knowledge they contain is presented to users has not changed and is still highly text-based. However, it has been shown that this information could be presented more efficiently using graphical approaches, such as graphical languages and information visualization. We present here a survey of existing methods and applications, and discuss the potential value of these methods for medical practice. These graphical approaches have great potential for improving medical knowledge consultation, provided they are well-designed, well-evaluated and standardized for re-use.

Knowledge↗

PubMed2003

Telemonitoring of patients at home: a software agent approach.

To address the issue of the increasing social, economical and medical needs of maintaining at home people in loss of autonomy while preserving privacy and quality of life, the authors present a software agent based telemonitoring and alarm raising system. The article describes the overall architecture, the various components of the model, and the methodology that has been used. It specifically addresses the issue of reflecting in the object oriented model of the system various dimensions including: the physical world of in-home bio-signal sensors, the numerical world of software agents and Internet-related technologies, and the medical and social worlds of patients, physicians and caregivers. In the model, the main stream of information goes from the biophysical world of patients at home to the socio-medical world of carers through a chain of devices including in-home sensors, local area network, home computer, remote server, and carers' computers. Each device hosts software agents with different levels of knowledge and complexity. Internet and Java technologies provide the building blocks of the designed telemonitoring software. Laboratory experiments have been realized using a fully equipped 'smart' demonstration home for telecare. The study takes place into a more general research project on 'smart' homes for telecare conducted at the Hospital Centre of Grenoble, France.

Computer Security↗

PubMed2003

Watching symptoms and illnesses through the eyes of Multiple Correspondence Analysis: a case study in toxicology.

The goal of the reported research was the design of a computerized tool aimed at aiding an emergency specialist, in a toxicological emergency unit, to quickly identify, at the admission time, the various poisons ingested by a comatose patient. This medical decision making problem has been proved to be computationally intractable since a lot of patient cases sharing the same clinical table have different diagnoses in terms of psychotropes combinations. The paper explores the idea that the outcome of Multiple Correspondence Analysis (MCA), a mathematical data analysis method, can be thought of as visual and analytical aids for the physician facing this decision problem. We argue that the expert's clinical reasoning can be enhanced by the factorial maps and some computerized results provided by MCA. Using a learning database of 505 diagnosed cases, we realized a whole decision aiding system called TOXSYMEDIA. A test-base of 97 patients was used to partially assess the system. The method and resulting tool revealed to be appreciable to early inform the physician about the possible combination of ingested psychotropes.

Coma↗

PubMed2002

Multi-sensors acquisition, data fusion, knowledge mining and alarm triggering in health smart homes for elderly people.

We deal in this paper with the concept of health smart home (HSH) designed to follow dependent people at home in order to avoid the hospitalisation, limiting hospital sojourns to short acute care or fast specific diagnostic investigations. For elderly people the project of such a HSH has been called AISLE (Apartment with Intelligent Sensors for Longevity Effectiveness). For this purpose, system having three levels of automatic measuring (1) the circadian activity, (2) the vegetative state, and (3) some state variables specific of certain organs involved in precise diseases, has been developed within the framework of a 'Health Integrated Smart Home Information System' (HIS2). HIS2 is an experimental platform for technologic development and clinical evaluation, in order to ensure the medical security and quality of life for patients who need home based medical monitoring. Location sensors are placed in each room of the HIS2, allowing the monitoring of patient's successive daily activity phases within the patient's home environment. We proceed with a sampling in an hourly schedule to detect weak variations of the nycthemeral rhythms. Based on numerous measurements, we establish a mean value with confidence limits of activity variables in normal behaviour permitting to detect for example a sudden abnormal event (like a fall) as well as a chronic pathologic activity (like a pollakiuria), allowing us to define a canonical domain within which the patient's activity is qualified to be 'predictable'. Alerts are set off if the patient's activity deviates from a predictable canonical domain. Moreover, we can follow the cardio-respiratory state by measuring the intensity of the respiratory sinusal arrhythmia in order to quantify the integrity of the bulbar vegetative system, and we finally propose to carefully watch abnormal symptoms like arterial pressure or presence of plasma proteins in the expired air flow for early detecting respectively hypertension or pulmonary oedema.

Aged↗

PubMed2002

Health "Smart" home: information technology for patients at home.

This article reviews the emerging concept of health "Smart" homes (HSH) and its potential through the use of telemedical information systems and communication technologies. HSH systems provide health care services for people with special needs who wish to remain independent and living in their own home. The large diversity of needs in a home-based patient population requires complex technology. Meeting these needs technically requires the use of a distributed approach and the combination of many hardware and software techniques. We also describe the wide scope of new information, communication, and data-acquisition technologies used in home health care. We offer an introduction to the HSH concept in terms of technical, economic, and human requirements. Examples of HSH projects are presented, including a short description of our own smart home and telehealthcare information system project.

Aged↗