PhD Projects - CACHET

Lab-on-a-chip

Chronical conditions are expected to account for 60% or the global burden of diseases by 2020 [1]. This project addresses a class of chronical diseases related to the thyroid gland with the aim to improve the diagnostics and treatment process of thyroid patients.

Lab-on-a-chip

Personal Health Data Visualization

This PhD project aims to investigate the impact of data visualization and interface design in a ’double-loop’ PHR, i.e. by looking at data visualization and interaction from both the patient and providers point of view.

Personal Health Data Visualization

Monitoring systems

Chronic sleep disorders such as obstructive sleep apnea (OSA) is a significant health condition, which is time consuming and expensive to diagnose. This project aims to design and clinically validate a simple monitoring systems for chronic sleep disorders.

Monitoring systems

Gaze-Controlled Telepresence

For individuals with motor disabilities, gaze-control can be implemented into a telepresence robot, which provides the feeling of presence, in order to promote their participation in social interactions and enhance their communication quality.

Gaze-Controlled Telepresence

RADMIS

© monsenso, Computer showing patient data

According to WHO, depression is becoming a leading cause of disability. The RADMIS project seeks to design smartphone-based monitoring and treatment technology for depressive patients. The goal is to establish the efficacy of this technology by measuring re-admission and clinical outcome.

RADMIS

Body Age

massimo-sartirana-562954-unsplash, old female runner

Body Age calculation has become a frequently used health tool. This project investigates the use of Body Age technologies and explores its potential as a reliable health technology in the prevention of lifestyle related diseases.

Body Age

Collaborative Care

Healthcare Design for Collaborative Care aims to investigate how technology and services in collaborative healthcare can be designed in such a way that digital and human-centered treatment models can ensure better and more effective treatment of the chronic patient group.

Collaborative Care

eMinor

How can we make eHealth support minors living with chronic diseases?
While studies have provided insights into the complexities of introducing eHealth technologies to adult patients and informed models for choosing or designing more flexible and individualized arrangements, little is known about eHealth for minors below the age of 16.

eMinor

FitMum - Activity during pregnancy

A physically active lifestyle during pregnancy has enormous potential to improve maternal and child health. This PhD project investigates how to implement physical activity in pregnant women´s everyday life, and whether physical activity affects health of the pregnant women and their offspring, by testing the efficacy of two very different exercise programs during pregnancy.

FitMum - Activity during pregnancy

FitMum – Process evaluation

The research project FitMum will generate evidence about how to implement physical activity in pregnant women’s everyday life by testing the efficacy of two very different exercise programs on physical activity levels during pregnancy.

FitMum – Process evaluation

FitMum - Validity of tracker

This PhD project will investigate 1) the validity of commercial PA tracker by comparing their data with doubly labelled water (DLW) and pregnancy physical activity questionnaire PPAQ. 2) Will examine the Effects of FitMum PA intervention on sleep quantity and quality as determined by activity trackers. 3) Effects of FitMum RCT on PA level of mothers in one year after delivery.

FitMum - Validity of tracker

InstaPatch

In this PhD project, a novel miniaturized device - the InstaPatch - for instantaneous and quantitative monitoring of allergic reactions in the skin will be developed.

InstaPatch

Physical Activity Monitors

elderly person power walking in the country side

The feedback from activity monitors is suggested to facilitate result driven behavioural change through education, motivation, gamification and goal setting, but creating new and healthier habits among elderly is a complex process with a lot of unanswered questions.

Physical Activity Monitors

Assessment of Cognitive Functioning

Meditating by a lake and horseback riding

Computer- and Smartphone-based Assessment of Cognitive Functioning in Affective Disorders in Young People.

Assessment of Cognitive Functioning

WARD-COPD

Among patients with chronic medical diseases, patients with exacerbation of chronic obstructive pulmonary disease (COPD) are among those with the poorest prognosis despite advances in medical therapy. This project explores the use of continuous monitoring of vital signs for early detection of critical deteriorations in patients with exacerbation of COPD.

WARD-COPD

Behavioural design

There is an undeniable increase of behaviour related challenges in society rooted in poor choice of behaviour, and the inability of conventional approaches to tackle them.

Behavioural design

Eye-tracking based Assessment

Eye-tracking based Fatigue and Cognitive Assessment

The objective of this project is to develop a mechanism to detect fatigue via eye-tracking measures

Eye-tracking based Assessment

Listen Care-fully

This project uses new technology to determine whether increased listening effort is associated with cognitive function, and to investigate how to integrate this new tool at point-of-care in dementia and hearing care settings.

Listen Care-fully

Platform for analytics for mental health

Sharing personal data about daily behaviours and mental health can be useful for communication, peer-support and science, but such disclosure may also bring negative consequences. How can we design open-access platforms that are beneficial for individuals and society?

Platform for analytics for mental health

Predicting Sleep Disordered Breathing

It has been shown that craniofacial features are predictive of OSA, and a diagnostic system based on craniofacial images would offer a cheap and efficient alternative to the PSG.

Predicting Sleep Disordered Breathing

Risk prediction with ECG and genetics...

Cardiovascular diseases predispose to cognitive impairment and dementia as reduced cardiac output will lead to cerebral hypoperfusion which makes the brain more prone for dementia development. Electrocardiography (ECG) has low cost and is the standard initial test for cardiac examination and is performed in a large part of the population, either due to other reasons or as part in a routine health check-up

Risk prediction with ECG and genetics...

Mentally severe ill treatment

People with severe mental illness (SMI) die 10-20 years earlier than the general population. People with SMI have a higher prevalence of physical comorbidities than the general population.

Mentally severe ill treatment

Deep Learning Models for Sleep Disorders

Automatic analysis of sleep patterns has the potential to efficiently diagnose sleep disorders such as REM sleep behavior disorder, a precursor of Parkinson’s disease. Early and efficient diagnosis is therefore essential to identify patients at high risk of developing overt neurogenerative disease.

Deep Learning Models for Sleep Disorders