Sensortehnoloogiad meditsiinitehnikas

Nimetus
Sensor technologies in biomedical engineering (SensorTechBME) research group
Head of the research group
Overview
Uurimisgrupi teadustöö eesmärgiks on välja töötada paindlikke ja uudseid sensortehnoloogiaid ja algoritme:• Ureemiliste toksiinide eemaldamise jälgimiseks reaalajas. Mõõdetud parameetrid võimaldavad hinnataerinevate ureemiliste toksiinide kontsentratsioone reaalajas ilma vereproove võtmata ning seega aitab saadaparemini tagasisidet ravi (n neeruasendusravi) kohta ning kohandada raviviise vastavalt patsientide vajadustega.• Isikustatud ja targa töörõiva loomiseks, mis töörõivasse integreeritud sensorite ja uudsete algoritmide abil looksväärtuslikke andmeid tööliste asukohast, kõnnimustritest, füüsilisest aktiivsusest, energiakulust jafüsioloogilisest seisundist.• Uuenduslike psühhofüsioloogiliste meetodite väljatöötamine, et hinnata inimeste emotsionaalset vastusterinevatele (elu)keskkondadele (nt turvalised, mugavad, stressirohked, ülestimuleerivad või ebaatraktiivsed).
The main research field of the SensorTechBMEteam is to develop flexible and novel sensor technologies and algorithms in biomedical engineering applications:‚ To estimate dialysis adequacy and qualitysecuring end stage renal disease (ESRD) patients’ care quality. The research is exploring spectrophotometrical and spectrofluorimetrical characteristics-signatures of thebiofluids and performing various signalprocessing and analysis on those signals.‚ To develop beyond the state-of-the-art applications incorporated into a smart wearablemulti-sensor fusion system for generatingvaluable data about the workers’ location,locomotion, physical activity, energy consumption and physiological status;‚ For speech-to-text usage in healthcareand industry.‚ The well-being score is an innovativemethod and tool integrating quantitativephysiological and subjective psychological indicators for assessing environmentsthat are not only safe and convenient, but also interesting or pleasant or vice versa todefine environments that are unsafe, stressful, overstimulating, or unattractive. Oneapplication area of the tool is to bridge thegap between urban planners and urban residents utilizing a well-being score mapping.
Keyword
algoritmid
algorithms
sensorite integratsioon
sensor fusion
biovedelike optika
biofluid optics
ureemilised toksiinid
uremic toxins
dialüüsravi
dialysis
reaalajas monitooring
on-line monitoring
spektrofotomeetria
spectrophotometry
spektrofluorimeetria
spectrofluorimetry
tark töörõivas
smart work wear
füüsilise aktiivsuse monitooring
physical activity monitoring
energiakulu
energy consumption
väsimuse monitooring
fatigue monitoring
kõnetuvastus
automatic speech recognition
speech-to-text applications
Important results
2024. aasta olulisemad tulemused:Joosep Paats (juh. I. Fridolin, kaasjuh. M. Luman) saavutas IFMBE Young Investigator Competition for BiomedicalEngineering – EMBEC 2024 konkursil auhinnalise III koha.
‚ A new a novel on-line multicomponentminiaturized optical sensor for monitoring removal of uremic toxins in the spentdialysate during hemodialysis was designedand validated in an European multicenterclinical study;‚ A new method and device were developed forreal-time physical fatigue estimation basedon physiological signals and parameters.