Väitös (tieto- ja viestintätekniikka): MSc Arman Anzanpour
MSc Arman Anzanpour esittää väitöskirjansa ”Dynamic Resource Management in IoT-Enabled Health Monitoring Systems” julkisesti tarkastettavaksi Turun yliopistossa tiistaina 20.5.2025 klo 12.00 (Turun yliopisto, Agora, XXI-luentosali, Vesilinnantie 3, Turku).
Vastaväittäjänä toimii professori Jari Nurmi (Tampereen yliopisto) ja kustoksena professori Pasi Liljeberg (Turun yliopisto). Tilaisuus on englanninkielinen. Väitöksen alana on tieto- ja viestintätekniikka.
Väitöskirja yliopiston julkaisuarkistossa: https://urn.fi/URN:ISBN:978-952-02-0165-4 (kopioi linkki selaimeen).
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Tiivistelmä väitöstutkimuksesta:
Accessing good healthcare can be challenging for many people due to distance, cost, or a lack of doctors. However, new health technologies are changing this, especially tools that allow doctors to monitor patients from a distance. Imagine small wearable gadgets, like smartwatches or sensors, that track patients vital signs (like heart rate and oxygen levels) and send the data to a medical center over the internet. This is known as Internet of Things (IoT)-enabled health monitoring. These devices allow patients to be checked in real time, even at home, and spot problems early. This could mean faster help in emergencies and better management of long-term illnesses. However, making these systems work well is tricky. They need to be reliable, use battery power efficiently, and handle information correctly. The key is managing resources effectively, both in how the devices are built and how they operate day-to-day.
To do this, this thesis presents four resource management solutions for such smart systems. Using the presented solutions, health monitoring systems can monitor themselves and adjust automatically (self-awareness), understand the situation, like whether patients are resting or active (context-awareness), balance different goals like sending urgent alerts versus saving power (goal management), and even send complex tasks to more powerful computers if needed (computation offloading).
Ultimately, the goal is to bring hospital-level monitoring and early warning systems right into the patients home. This helps people, especially those with chronic conditions or living far from clinics, get continuous, high-quality care, leading to better health.
Vastaväittäjänä toimii professori Jari Nurmi (Tampereen yliopisto) ja kustoksena professori Pasi Liljeberg (Turun yliopisto). Tilaisuus on englanninkielinen. Väitöksen alana on tieto- ja viestintätekniikka.
Väitöskirja yliopiston julkaisuarkistossa: https://urn.fi/URN:ISBN:978-952-02-0165-4 (kopioi linkki selaimeen).
***
Tiivistelmä väitöstutkimuksesta:
Accessing good healthcare can be challenging for many people due to distance, cost, or a lack of doctors. However, new health technologies are changing this, especially tools that allow doctors to monitor patients from a distance. Imagine small wearable gadgets, like smartwatches or sensors, that track patients vital signs (like heart rate and oxygen levels) and send the data to a medical center over the internet. This is known as Internet of Things (IoT)-enabled health monitoring. These devices allow patients to be checked in real time, even at home, and spot problems early. This could mean faster help in emergencies and better management of long-term illnesses. However, making these systems work well is tricky. They need to be reliable, use battery power efficiently, and handle information correctly. The key is managing resources effectively, both in how the devices are built and how they operate day-to-day.
To do this, this thesis presents four resource management solutions for such smart systems. Using the presented solutions, health monitoring systems can monitor themselves and adjust automatically (self-awareness), understand the situation, like whether patients are resting or active (context-awareness), balance different goals like sending urgent alerts versus saving power (goal management), and even send complex tasks to more powerful computers if needed (computation offloading).
Ultimately, the goal is to bring hospital-level monitoring and early warning systems right into the patients home. This helps people, especially those with chronic conditions or living far from clinics, get continuous, high-quality care, leading to better health.
Viestintä