Header image for Vitalis 2021
Profile image for Non-wearable sensor technology in elderly care

Non-wearable sensor technology in elderly care

Lecturer: Per Matsson

Track: Äldreomsorg / Socialtjänst

Digital health and telemedicine in combination with machine learning can support and predict various medical conditions and problems. Automated trend analysis in elderly care to continuously monitor sleep patterns may gain significant know how regarding medical conditions and progress of disease or deterioration of a person’s condition. Ease of use is a key factor and non-wearable sensors like various bed sensors and room monitoring equipment can capture data to be analyzed for trends of different conditions..Personal integrett and GDPR becomes equally essential when it comes to continous monitoring of a person. An overview of the field and technology, integrity and medical aspects will be reviewed in the seminar.

 

Language

English

Topic

Välfärdsteknik

Objective of lecture

Inspiration

Level of knowledge

Fördjupning

Target audience

Chef/Beslutsfattare
Verksamhetsutveckling
Tekniker/IT/Utvecklare
Omsorgspersonal

Keyword

Exempel från verkligheten (goda/dåliga)
Nytta/effekt
Kommun
Innovativ/forskning

Lecturers

Profile image for Per Matsson

Per Matsson Lecturer

CoB
Cenvigo

30 years experience of medical diagnostic development working since January 1, 2021 with digital health and wellness. Today I work as scientific and business advisor for different companies and my main tasks are for Cenvigo AB and EITHealth.