Powering smart contact lenses for continuous health monitoring: Recent advancements and future challenges

H Mirzajani, F Mirlou, E Istif, R Singh, L Beker - Biosensors and …, 2022 - Elsevier
As the tear is noninvasively and continuously available, it has been turned into a convenient
biological interface as a wearable medical device for out-of-hospital and self-monitoring …

[HTML][HTML] Smartphone-based portable bio-chemical sensors: exploring recent advancements

TH Bui, B Thangavel, M Sharipov, K Chen, JH Shin - Chemosensors, 2023 - mdpi.com
Traditionally, analytical chemistry and diagnosis relied on wet laboratories and skilled
professionals utilizing sophisticated instruments for sample handling and analysis. However …

[HTML][HTML] Using a smartwatch and smartphone to assess early Parkinson's disease in the WATCH-PD study

JL Adams, T Kangarloo, B Tracey, P O'Donnell… - npj Parkinson's …, 2023 - nature.com
Digital health technologies can provide continuous monitoring and objective, real-world
measures of Parkinson's disease (PD), but have primarily been evaluated in small, single …

Monitoring gait at home with radio waves in Parkinson's disease: A marker of severity, progression, and medication response

Y Liu, G Zhang, CG Tarolli, R Hristov… - Science Translational …, 2022 - science.org
Parkinson's disease (PD) is the fastest-growing neurological disease in the world. A key
challenge in PD is tracking disease severity, progression, and medication response. Existing …

EEG-Based Parkinson's Disease Recognition Via Attention-based Sparse Graph Convolutional Neural Network

H Chang, B Liu, Y Zong, C Lu… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Parkinson's disease (PD) is a complicated neurological ailment that affects both the physical
and mental wellness of elderly individuals which makes it problematic to diagnose in its …

Vision-based finger tapping test in patients with Parkinson's disease via spatial-temporal 3D hand pose estimation

Z Guo, W Zeng, T Yu, Y Xu, Y Xiao… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Finger tapping test is crucial for diagnosing Parkinson's Disease (PD), but manual visual
evaluations can result in score discrepancy due to clinicians' subjectivity. Moreover …

[HTML][HTML] Machine Learning in the Parkinson's disease smartwatch (PADS) dataset

J Varghese, A Brenner, M Fujarski, CM van Alen… - npj Parkinson's …, 2024 - nature.com
The utilisation of smart devices, such as smartwatches and smartphones, in the field of
movement disorders research has gained significant attention. However, the absence of a …

Digital mobility measures: a window into real‐world severity and progression of Parkinson's disease

A Mirelman, J Volkov, A Salomon, E Gazit… - Movement …, 2024 - Wiley Online Library
Background Real‐world monitoring using wearable sensors has enormous potential for
assessing disease severity and symptoms among persons with Parkinson's disease (PD) …

[HTML][HTML] Observational studies must be reformed before the next pandemic

EE Ricotta, A Rid, IG Cohen, NG Evans - Nature medicine, 2023 - nature.com
Observational studies must be reformed before the next pandemic | Nature Medicine Skip to
main content Thank you for visiting nature.com. You are using a browser version with limited …

[HTML][HTML] Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis

AP Creagh, V Hamy, H Yuan, G Mertes… - npj Digital …, 2024 - nature.com
Digital measures of health status captured during daily life could greatly augment current in-
clinic assessments for rheumatoid arthritis (RA), to enable better assessment of disease …