(Reuters) – The Apple Watch was able to detect irregular heart pulse rates that could signal the need for further monitoring for a serious heart rhythm problem, according to data from a large study funded by Apple Inc (AAPL.O), demonstrating a potential future role for wearable consumer technology in healthcare.
Researchers hope the technology can assist in early detection of atrial fibrillation, the most common form of irregular heart beat. Patients with untreated AF are five times more likely to have a stroke.
Alzheimer’s disease, a terminal neurodegenerative disease, has historically been diagnosed based on observing significant memory loss. Recent research has shown that a biological marker associated with the disease, a peptide called amyloid-beta, changes long before any memory-related issues are apparent.
Examining the concentration of the peptide in an individual’s spinal fluid provides an indication of risk decades before any memory related issues occur. Unfortunately, accessing spinal fluid is highly invasive, requires an anaesthetist and is expensive to conduct on large segments of the population. Hence, there is a strong effort in the research community to develop a less invasive test, such as a blood test, that can yield information about Alzheimer’s disease risk.
A recent paper by my team at IBM Research – Australia, published today in Scientific Reports, used machine learning to identify a set of proteins in blood that can predict the concentration of amyloid-beta in spinal fluid. The models we built could one day help clinicians to predict this risk with an accuracy of up to 77%.
This non-invasive brain training solution uses an electroencephalogram (EEG) measurement device + Personalized brain exercises on an app. URGONight, the first non-invasive daytime brain training solution for a better sleep, is named as a CES 2019 Innovation Award Nominee in the Wearable Technology category.
How Does the Neurofeedback Method Work?
Developed by neuroscientists and sleep experts, URGONight uses the same technology previously only available to clinics and sleep researchers. Now, EEG-feedback therapy for sleep is available in the comfort of your own home.