Mobile health (m‐health) is the term of monitoring the health using mobile phones and
patient monitoring devices etc. It has been often deemed as the substantial breakthrough in …

Aging population ratios are rising significantly. Health monitoring systems (HMS) in smart
environments have evolved rapidly to become a viable alternative to traditional healthcare …

Background Machine learning has attracted considerable research interest toward
develo** smart digital health interventions. These interventions have the potential to …

Background When designing and develo** patient decision aids, guidelines recommend
involving patients and stakeholders. There are myriad ways to do this. We aimed to describe …

Disordered speech recognition is a highly challenging task. The underlying neuro-motor
conditions of people with speech disorders, often compounded with co-occurring physical …

Assistive technology for the differently abled and older adults has made remarkable
achievements in providing rehabilitative, adaptive, and assistive devices. It provides huge …

Nowadays, many application scenarios benefit from automatic speech recognition (ASR)
technology. Within the field of speech therapy, in some cases ASR is exploited in the …

Improving the accuracy of personalised speech recognition for speakers with dysarthria is a
challenging research field. In this paper, we explore an approach that non-linearly modifies …

Assessing the intelligibility of dysarthric speech, characterized by intricate speaking rhythms
presents formidable challenges. Current techniques for objectively testing speech …

Assistive speech-based technologies can improve the quality of life for people affected with
dysarthria, a motor speech disorder. In this paper, we explore multiple ways to improve …