PhD Projects - CACHET

Pure Milk

Human milk is far more than a static source of nutrition. The nutritional content of the milk is dynamic and tailored to fit the state of the infant needs, with varying concentrations of macro- and micro nutritional compounds.

Pure Milk

FitMum - Activity during pregnancy

This PhD project investigated 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

Preventing Spread of Diseases

This project aims to design behaviour change interventions to promote behaviour paths that reduce the risk of infection and contagion or to add barriers to the performance of infection and contagion risk-related behaviours in the context of nursing homes.

Preventing Spread of Diseases

AR/VR Interface Design For Rehabilitation

This project uses VR, AR, and XR to create interactive human-machine interfaces for home-based stroke rehabilitation. It sets out to investigate the potential of digital twins and immersive technologies for sustained behaviour change over time.

AR/VR Interface Design For Rehabilitation

Mobile Health Technologies

An ethnographic exploration of mHealth innovation’s troubled attuning to children and young people that live with chronic illness.

Mobile Health Technologies

Risk prediction with ECG and genetics...

With this project, we want to identify personalized risk markers from ECG signal analysis, which may be used either alone or in combination with blood test to identify at-risk individuals.

Risk prediction with ECG and genetics...

Platform for analytics for mental health

Sharing personal data about daily behaviours and mental health can be useful for clinical monitoring, peer-support and science, but such disclosure may also bring negative consequences.

Platform for analytics for mental health

Speech-Enabled Conversational Agents

Investigating the feasibility of a speech-enabled conversational agent to support the self-report of mental health and well-being

Speech-Enabled Conversational Agents

Monitoring Systems for Chronic Sleep

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.

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

Lab-on-a-chip

Portable diagnostic laboratory for measuring thyroid related hormones

Lab-on-a-chip

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

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

This PhD is nested in the RADMIS project which seeks to design smartphone-based monitoring and treatment technology for bipolar and depressive patients.

RADMIS

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

Physical Activity Monitors

elderly person power walking down the country side

The feedback from activity monitors is suggested to facilitate result driven behavioral 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

Eye-tracking based Fatigue and Cognitive...

The objective of this project is to develop a mechanism to detect fatigue via eye-tracking measures. Fatigue can have an impact on the physical as well as the emotional health of the individuals. Detection of fatigue is the first step towards its management.

Eye-tracking based Fatigue and Cognitive...

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

Behavioural Activation Technology

Adaptive Smartphone-based Behavioural Activation for Treating Depression. Can we, like the psychologist, locate the same activities that promote healthy or depressed behavior, and recommend activities accordingly?

Behavioural Activation Technology

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

mHealth for Ambulatory Monitoring and...

Can contextualized ECG data collected (via Mobile Health Technology) under free-living conditions help improve ambulatory arrhythmia monitoring and diagnosis?

mHealth for Ambulatory Monitoring and...

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

Personalizing Hearing Care

Hearing impairment is a growing health- and wellbeing challenge both at a personal and a societal level. This project explores the use of hearing aids, smartphones and mobile devices to personalise hearing aids to the individual.

Personalizing Hearing Care

Neurorehabilitation Tool

In this project, a BCI controlled system is proposed as a complete neuro-rehabilitation tool for post-stroke patients to regain fine motor skills so that the hand gripping function can be triggered.

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

Behavioural monitoring using wearable...

We show that smartphone data is able to estimate plausible intervention eﬀects from a randomized controlled trial, and through higher sampling frequency and additional modalities, is able to break up the estimated eﬀects into contextual pieces that can be used to better understand behavioural aspects.

Behavioural monitoring using wearable...

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

Smart Wearables for dementia Monitoring

Dementia, elderly man sitting on a bench

Smart wearables are capable of both supporting people with dementia and generating data about their behaviour. This project explores how this could be leveraged in a connected care system to enable active ageing.

Smart Wearables for dementia Monitoring

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

Assessment of Cognitive Functioning

Woman meditating by water and a woman horseback riding

What happens if a psychiatrist should frequently assess cognitive impairment in depressed and bipolar patients using paper-and-pencil tests? The solution is an automated web-based cognitive test battery: The Internet-based Cognitive Assessment Tool (ICAT)

Assessment of Cognitive Functioning

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

Predicting patient outcomes

Machine learning for depressive disorders

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

Smartphone-based biomarkers

Algorithms for neurodegenerative diseases