Clinical trials

This study investigates the efficacy of a wearable voice-guided Brief Behavioral Therapy for Insomnia (BBTi) combined with a smart eye-mask device for individuals with Comorbid Insomnia and Sleep Apnea (COMISA). The four-year study comprises three phases: (1) exploration of cognitive-emotion regulation-arousal system mechanisms in COMISA and pilot BBTi intervention testing, (2) development and usability testing of an integrated smart eye-mask with BBTi voice-guided modules, and (3) a multi-center randomized controlled trial (RCT) evaluating the combined BBTi plus smart eye-mask intervention versus BBTi alone, smart eye-mask alone, and standard sleep hygiene education in 160 COMISA participants. Primary outcomes include insomnia severity (ISI), daytime sleepiness (ESS), and CPAP adherence. The study aims to establish an evidence-based digital health intervention for improving sleep outcomes in COMISA patients.

As societies rapidly transition toward aging demographics, sleep issues among community-dwelling older adults have emerged as a critical concern affecting healthy aging and independent living. Current single-track exercise intervention models are often difficult to implement due to suboptimal adherence. Therefore, this study aims to utilize artificial intelligence technology combined with a dual-track residential exercise mode to improve sleep quality, thereby enhancing the self-care and independent living abilities of the elderly

Dementia most commonly occurs in elderly individuals, but currently there is still a lack of objective measurement methods that can detect cognitive impairment in older adults at an early stage. Eye movement is considered a clinical indicator with potential for screening mild cognitive dysfunction, and eye movement signals can be extracted to objectively evaluate cognition. Eye tracking has been used mostly to evaluate patients with neurodegenerative diseases such as Parkinson's disease. However, less attention has been paid to the relationship between eye movement and cognitive function in elderly individuals, as well as the association between eye movement data and abnormal cognitive subdomains. This cross-sectional study will recruit 0204 elderly individuals over the age of 65, divided into three groups (healthy group/mild cognitive impairment group/dementia group) according to the purpose of this study. Participants who have not been diagnosed with neurological diseases (such as Parkinson's disease or stroke), or have mental illness or visual impairments will be excluded. This study hopes to provide empirical data on eye movement signals and cognitive function in healthy older individuals, as well as to serve as a preliminary study for future development of eye activity stimulation to improve cognitive function in older adults.