The goal is to study new solutions & principles for electrical impedance spectroscopy (EIS) with significantly improved metrological and functional characteristics, like higher measurement accuracy, resolution and speed, lower power consumption and wider frequency and dynamic ranges. New solutions enhance the existing and enable new applications of EIS in healthcare, biology and industries.
The principles & solutions to measure biological & physiological properties of organs, tissues and microorganisms/pathogens, as well as of composites, alloys etc. are the subjects of the research. Unique low-cost low-power miniaturized high-resolution and flexible measurement components with various connectivity (IoT, BAN etc) will be created by new EIS groundings. An important R&D aspect is synchronous signal processing and communication in EIS sensor-arrays.
Research aspects: sampling theory AI/ML) and metrology (eg novel calibration techniques, methods of implementation in biology and medicine.
The most significant findings are related to development of the novel wireless closed-loop patient support system i) energy-efficient protocols for body area networks and ii) fast computing methods for the real-time gait analysis.
These novel contributions are relevant for the electrical stimulation of the muscles of the patients suffering from neurological diseases (e.g., multiple sclerosis), in particular assisting them with daily life activities.
The outcomes of the project are significantly relevant to society because they directly enhance the state-of-the-art assistive devices.
The project has created a wider impact in the following ways:
1- ETSI SmartBAN Standard: “Applying SmartBAN MAC (ETSI TS 103 325) for various use-cases”, Work Item Reference, DTR/SmartBAN-0014, Rapporteur, Muhammad Mahtab Alam, -- ETSI SmartBAN is a specific standard for the low-power body area networks and this project usecase is introduced in this workitem which motivated the needs for the future standard compliant devices.
2- Invention: System and method for self-assessment of physical capabilities and condition changes; Owners: Tallinn University of Technology, Motionmon OÜ; Authors: Alar Kuusik, Katrin Gross-Paju, Muhammad Mahtab Alam; Priority number: US16/268134; Priority date: 5.02.2019.
3- Collaboration with Hospitals: We had a positive collaboration with i) East Tallinn Central hospital and ii) West Tallinn Central hospital with specific neurological departments. The methods developed in this project and future devices (beyond this project) comply with the needs of the patients and this will enable enhanced comfortable and effective non-invasive electrical stimulation devices to be used by the patients.
Overall, the project yielded significant research output in terms of numbers of scientific publications including 9 Journal and 13 conferences of high quality and impact. So far, these papers are strongly cited by the relevant research community (h-index=9, h-10=9).