Sep, 2022 - By SMI
The new gadget, which resembles an internet router, may be wall-mounted in a bedroom. It sends out radio waves, and a neural network examines the reflected waves to determine the patterns of breathing. Importantly, the technology may help diagnose Parkinson's illness considerably earlier than many current methods.
Parkinson's disease can be difficult to diagnose early since, in most cases, the diagnosis is delayed until motor symptoms like tremor and stiffness become noticeable. However, the sickness may have started in many cases years earlier, which means that the opportunity for early care has been lost. The majority of people are familiar with the MRI method, which is frequently used to see the structure of the brain. However right now, it's only employed to discover other possible diagnoses, since it is insufficiently sensitive to detect reactions that occur in Parkinson patients' brains. In a recent study, researchers tried with methods including cerebrospinal fluid analysis and neuroimaging, but these methods are intrusive and inconvenient, particularly for frequent evaluations to track the progression of the condition.
MIT researchers have created an AI system that, by observing a person's sleep breathing patterns, may detect Parkinson's disease and track its progression. It can be wall-mounted in a bedroom and has the appearance of an internet router. It sends out radio waves, and a neural network examines the reflected waves to determine the patterns of breathing. Furthermore, the method is significantly more convenient and non-invasive than standard diagnostics and may help in diagnosing Parkinson's disease much earlier than many conventional approaches. As a non-invasive way to track the progression of the disease, it might also be especially helpful in testing new Parkinson's treatments.
The method is fully non-invasive and just requires the placement of a gadget in the patient's bedroom. Moreover Researchers expects a potentiality of new treatment of Parkinson’s diseases in early stages.
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