Browsing Category: Heart

Contact-free blood pressure, heart and breath rate monitoring

Cornell’s Edwin Kan has developed a contact-free vital sign monitor  using radio-frequency signals and microchip tags. Blood pressure, heart rate and breath rate  are measured when radio waves bounce off the body and internal organs, and are detected by an electronic reader from a location anywhere in the room.  200 people can be monitored simultaneously. According […]

Single phone sensor tracks heart rate, HR variability, BP, oxygen saturation, ECG, PPG

 Sensio by MediaTek is a  biosensor that monitors  heart rate, heart rate variability,  blood pressure, peripheral oxygen saturation levels, ECG and PPG, from a smartphone, in 60 seconds.  This could allow continuous monitoring with out multiple sensors. LEDs and a light sensitive sensor measure the absorption of red and infrared light from a  user’s fingertips. […]

Wall sensor monitors walking speed, stride to track health

MIT’s Dina Katabi, Chen-Yu Hsu, and colleagues have developed WiGait, a wall sensor that detects walking speed and stride to monitor health. This builds on previous MIT research which showed that radio signals could track breathing and heart rate, without wearables. The  system works by transmitting low-power radio signals and analyzing how they reflect off  bodies within a […]

Future hearable sensors could track physical, emotional state

Apple has filed patent applications describing wireless earbuds that monitor health while a wearer talks on the phone or listens to music.  This has obvious exercise-related implications, but could potentially track the physiological impact of one’s emotional state while making calls, as a mobile mental health tool. Sensors included in the patent include EKG, ICG, […]

Machine learning tools predict heart failure

Declan O’Regan and MRC London Institute of Medical Sciences colleagues believe that AI can predict when pulmonary hypertension patients require more aggressive treatment to prevent death. In a recent study,  machine learning software automatically analyzed moving images of a patient’s heart, captured during an MRI. It then used  image processing to build a “virtual 3D heart”, […]