Parkinson's Disease Detection Based on Running Speech Data From Phone Calls.

Objective: Parkinson's Disease (PD) is a progressive neurodegenerative disorder, manifesting with subtle early signs, which, often hinder timely and early diagnosis and treatment. The development of accessible, technology-based methods for longitudinal PD symptoms tracking in daily living, offers the potential for transforming disease assessment and accelerating diagnosis.

Methods: A privacy-aware method for classifying patients and healthy controls (HC), on the grounds of speech impairment present in PD, is proposed.

Assistive HCI-Serious Games Co-design Insights: The Case Study of i-PROGNOSIS Personalized Game Suite for Parkinson's Disease.

Human-Computer Interaction (HCI) and games set a new domain in understanding people's motivations in gaming, behavioral implications of game play, game adaptation to player preferences and needs for increased engaging experiences in the context of HCI serious games (HCI-SGs). When the latter relate with people's health status, they can become a part of their daily life as assistive health status monitoring/enhancement systems. Co-designing HCI-SGs can be seen as a combination of art and science that involves a meticulous collaborative process.

Touchscreen typing-pattern analysis for detecting fine motor skills decline in early-stage Parkinson's disease.

Parkinson's disease (PD) is a degenerative movement disorder causing progressive disability that severely affects patients' quality of life. While early treatment can produce significant benefits for patients, the mildness of many early signs combined with the lack of accessible high-frequency monitoring tools may delay clinical diagnosis. To meet this need, user interaction data from consumer technologies have recently been exploited towards unsupervised screening for PD symptoms in daily life.

Monitoring changes in quality of life in patients with lung cancer by using specialised questionnaires: implications for clinical practice.

Background: Quality of life (QoL) in lung cancer patients is overlooked due to the severity of the disease. Changes in factors comprising QoL need further exploration to determine therapy targets.

Methods And Materials: QoL was assessed in 282 patients referred to a specialised centre in Greece for chemotherapy using three reliable scales: Functional Assessment of Cancer Therapy-Lung (FACT-L, Greek version 4), Short Form (SF-36) Health Survey and Hospital Anxiety and Depression Scale (HAD)S.