August 10, 2018 Source: MobiHealthNews 915
A new wearable designed by researchers from Rutgers University-New Brunswick assert that it can detect blood cell counts and particles in the air.
"Current wearables can measure only a handful of physical parameters such as heart rate and exercise activity," Abbas Furniturewalla, the study's lead author and a former undergraduate researcher in Rutger's Department of Electrical and Computer Engineering, said in a statement. "The ability for a wearable device to monitor the counts of different cells in our bloodstream would take personal health monitoring to the next level.”
The design of the tool is described in the research published in Microsystems and Nanoengineering. Researchers developed an upper limb wearable that comprises of a microfluidic impedance cytometer on a flexible substrate with a microfluidic biosensor.
The researchers remarked that the system is capable of counting blood cells faster than the standard of care, via a pin-prick blood sample positioned on a standard microfluidic PDMS chip. The system can also transport information along a pathway to process electrical signals and digitize the data with a micro-controller and send it to a Bluetooth module, according to a statement.
When the system receives the blood cell count, it transfers the data over to a doctor on a smartphone.
Researchers said it also senses organic and inorganic particles in the air that could affect our health.
"This would be really important for settings with lots of air pollutants and people want to measure the amount of tiny particles or dust they're exposed to day in and day out,” said Mehdi Javanmard, senior author of the study and assistant professor in the Department of Electrical and Computer Engineering in the School of Engineering.By Ddu
your submission has already been received.
Please enter a valid Email address！
The most relevant industry news & insight will be sent to you every two weeks.
WordPress database error: [Table 'wp_posts' is marked as crashed and should be repaired]
SELECT SQL_CALC_FOUND_ROWS wp_posts.ID FROM wp_posts LEFT JOIN wp_term_relationships ON (wp_posts.ID = wp_term_relationships.object_id) WHERE 1=1 AND (
wp_term_relationships.term_taxonomy_id IN (1,54)
) AND wp_posts.post_type = 'post' AND (wp_posts.post_status = 'publish') GROUP BY wp_posts.ID ORDER BY wp_posts.post_date DESC LIMIT 0, 10