Perspectives in Home TeleHealthCare System: Daily Routine Nycthemeral Rhythm Monitoring from Location Data.
ABSTRACT Free of most social constraints, elderly people tend to perform activities of daily living following the same sequence. This paper proposes a method for medical telesurveillance to detect and quantify a nycthemeral shift in this daily routine. While this common phenomenon is mostly mild, in acute cases, however, it may reveal a pathological behavior requiring a rapid medical examination. This method allows to compare two sequences of activities using the Hamming distance and to interpret the result according to the Gumbel distribution. It may be used to compare either consecutive sequences thereby taking into account evolution in the habits or a sequence to the person's individual activity profile to detect dementia's onset. In this early stage, only elementary activities were considered. That is the reason why location data were used to monitor the person's nycthemeral rhythm of activity. IR sensors placed in her own flat allowed us to follow-up the inhabitant's successive activities. Improvements of this method have already been planned. They include the use of a multi-sensors network to monitor both actimetric (location, movement, posture) and physiological nycthemeral rhythms (ECG, respiratory frequency) and to detect the use of particular items (fridge, chairs, bed). This more sophisticated sensors network will allow us to monitor more complex tasks execution and then to detect pathological behaviors such as perseveration in a task or wandering. On the other hand, multiplying sensors will require more storage capacities and the use of time-consuming data fusion tools. Therefore, a classification phase will be necessary to reduce as possible the number of relevant sensors.
Full-textDOI: · Available from: Jacques Demongeot, Dec 20, 2013
- SourceAvailable from: Samy Talha
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- "After that, data are compared by Hamming measure, to know how long the patient spends in each room. Other studies in the same context as ,  and  use sensors location of the patient. These systems are based on classification methods to analyze the patient's daily activities. "
ABSTRACT: Thinks to its level of care and its economic aspect in recent years, telemonitoring is increasingly used. Telemonitoring aims to monitor the patient's health in the comfort of its own home. For this, all patient data that can be useful are collected, and represented in the most appropriate mode; after that, a decision support system is used to detect unsafe situations. E-care is a project of telemonitoring for people suffering of heart failure. It is based on a generic and extensible platform to expand the data and integrate other sources of information. E-care platform is based on the use of ontologies for knowledge representation and decision support system to detect dangerous situations. Adding other sources of information such as auscultation, allows having more knowledge on the patient and more efficient decision support system; this can be performed by extracting relevant features from the heart sounds which reveal the mechanical activity of the heart.