Naslov
Health monitoring of elderly through wireless wearable sensors

Autori
Šeketa, Goran ; Džaja, Dominik ; Žulj, Sara ; Magjarević, Ratko

Vrsta, podvrsta
Radovi u časopisima, znanstveni

Izvornik
IFMBE Proceedings (2021)

Status rada
Poslan

Ključne riječi
Health monitoring ; sensors ; wireless ; wearable ; elderly

Sažetak
The population of elderly is expected to significantly increase in near future, and according to the prediction of the authorities of the EU, those aged over 65 years will account for over 30% of EU's population. With aging, damage to various tissues in the body occurs and increases risk for chronic diseases and other impairments to bodily functions. Medical technology has contributed to the increase of life expectancy, and many diseases previously considered to be fatal, due to early diagnostic, efficient health interventions and improved treatment, are at present categorized as chronic diseases. However, healthcare costs attributed to increasing ageing are considerably growing and healthcare authorities worldwide are trying to find a way to decelerate the aging process and prolong the ability of independent living for the elderly. The quality of life of elderly comprises of physical, emotional and psychic health and well- being and it is not only dependent on the chronological age but also by presence of chronic disease(s), genetics, lifestyle, nutrition and other conditions. Several studies show that the perceived life expectancy is higher (compared to a person of the same age) if an individual is physically active and/or regularly exercises, keeps healthy weight and bodily shape and participates in enjoyable activities. Technologies that are currently being developed will substantially alter health care and social environment only if all stakeholders, from individuals (patients), health professionals and institutions, payers and medical equipment manufacturers change their attitude to preventive actions and management of chronic diseases in direction of enabling independent and quality life of elderly and those who will inevitably one day become older, i.e. a member of the elderly group in population. Prevention may be achieved by knowing the statistical group characteristics of particular groups in the population: these are measures based on procedures and recommendations within public health. From the perspective of an individual, personalized health risk assessment is preferable and may be modeled on trustful information gathered primarily from sensors for continuous monitoring of different physiological, mechanical and behavioral information, without any intervention from medical staff. There is an obstacle to that since many of wearable sensors do not have proven utility, feasibility of integration into the information system of the health care nor eligible costs and they often disrupt the users. In this paper, we will show the results of our research which is focused towards minimizing those obstacles by optimizing characteristics of wearable wireless sensors, sensor networks for remote patient monitoring and information transfer within the network. The wearable intelligent wireless sensor integrates measurements from accelerometers, gyroscopes and magnetometers, measurement of heart rate and/or ECG in order to differentiate activities of daily life, recognizes and evaluates movements during physical exercising and it is used as a high reliability fall detector. For individuals with diabtes Type 1, who are using CGM sensors, data from insulin pump is added for short term insulin trend prediction.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Interdisciplinarne tehničke znanosti

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