Tiny fiber optic sensor monitors blood flow in real-time

John Arkwright and Flinders University colleagues have developed a tiny, low cost, fiber-optic sensor to monitor blood flow through the aorta in real-time.  The goal is continuous monitoring during prolonged intensive care and surgical procedures.  Current blood flow measurement, using ultrasound or thermo-dilution,  is intermittent, averaging every 30 minutes.

The device is inserted through a small  aperture in the skin, into the femoral artery, when heart function is compromised.  Its size allows it to be  used in the tiny blood vessels of infants. Very young babies  are particularly susceptible to sudden drops in blood pressure and oxygen delivery to vital organs.


Join ApplySci at the 12th Wearable Tech + Digital Health + Neurotech Boston conference on November 14, 2019 at Harvard Medical School and the 13th Wearable Tech + Neurotech + Digital Health Silicon Valley conference on February 11-12, 2020 at Stanford University

Sensor glove identifies objects

In a Nature paper, the system accurately detected  objects, including a soda can, scissors, tennis ball, spoon, pen, and mug 76 percent of the time.

The tactile sensing sensors could be used in combination with traditional computer vision and image-based datasets to give robots a more human-like understanding of interacting with objects. The dataset also measured cooperation between regions of the hand during  interactions, which could be used to customize prosthetics.

Similar sensor-based gloves used cost thousands of dollars and typically 50 sensors. The  STAG  glove costs approximately $10 to produce.

Click to view MIT video


Join ApplySci at the 12th Wearable Tech + Digital Health + Neurotech Boston conference on November 14, 2019 at Harvard Medical School and the 13th Wearable Tech + Neurotech + Digital Health Silicon Valley conference on February 11-12, 2020 at Stanford University

Atrial fibrillation-detecting ring

Eue-Keun Choi and Seoul National University colleages have developed an atrial fibrillation detecting ring, with similar functionality to AliveCor and other watch-based monitors. The researchers claim that the performance is comparable to medical grade pulse oximeters.

In a study, Soonil Kwon and colleagues analyzed data from 119 patients with AF who underwent simultaneous ECG and photoplethysmography before and after direct-current cardioversion. 27,569 photoplethysmography samples were analyzed by an algorithm developed with a convolutional neural network. Rhythms were then interpreted with the wearable ring.

The accuracy of the convolutional neural network was 99.3% to diagnose AF and 95.9% to diagnose sinus rhythm.  The accuracy of the wearable device was 98.3% for sinus rhythm and 100% for AF after filtering low-quality samples.

Choi believes that: “Deep learning or [artificial intelligence] can overcome formerly important problems of [photoplethysmography]-based arrhythmia diagnosis. It not only improves diagnostic accuracy in great degrees, but also suggests a metric how this diagnosis will be likely true without ECG validation. Combined with wearable technology, this will considerably boost the effectiveness of AF detection.”.


Join ApplySci at the 12th Wearable Tech + Digital Health + Neurotech Boston conference on November 14, 2019 at Harvard Medical School and the 13th Wearable Tech + Neurotech + Digital Health Silicon Valley conference on February 11-12, 2020 at Stanford University

Glutamate sensor could predict migraines, monitor CNS drug effectiveness

Riyi Shi and Purdue colleagues have developed a tiny, spinal cord-implanted, 3D printed sensor that quickly and accurately tracks glutamate in spinal trauma and brain disease. The goal  is to monitor drug effectiveness, and predict migraine headaches in humans, although it has only been tested on animals.

Glutamate spikes are often missed.  Damaged nerve structures allow glutamate to leak into spaces outside of cells, over-exciting and damaging them. Brain diseases, including Alzheimer’s and Parkinson’s, also show elevated levels of glutamate.

Devices to date have not been sensitive, fast, or affordable enough. Measuring levels in vivo would help researchers to study how spinal cord injuries happen, and  how brain diseases develop.

In a recent animal study, the device captured spikes immediately, vs current devices, where researchers must  to wait 30 minutes for data after damaging the spinal cord.

Quick to view Purdue video


Join ApplySci at the 11th Wearable Tech + Digital Health + Neurotech Boston conference on November 14th at Harvard Medical School

Wireless, skin-like sensors monitor baby heart rate, respiration, temperature, blood pressure

John Rogers and Northwestern colleagues have developed soft, flexible, battery-free, wireless, skin-like sensors to replace multi wire-based sensors that currently monitor babies in hospitals’ neonatal intensive care units.  The goal is to enable more accurate monitoring, and unobstructed physical bonding.

The dual wireless sensors monitor heart rate, respiration rate and body temperature — from opposite ends of the body. One sensor lies across the chest or back, and the other wraps around a foot. This allows physicians to gather an infant’s core temperature as well as body temperature from a peripheral region.

Physicians also can measure blood pressure by continuously tracking when the pulse leaves the heart and arrives at the foot. Currently, there is not a good way to collect a reliable blood pressure measurement. A blood pressure cuff can bruise or damage an infant’s fragile skin. The other option is to insert a catheter into an artery, which is tricky because of the slight diameter of a premature newborn’s blood vessels. It also introduces a risk of infection, clotting and death.

The device also could help fill in information gaps that exist during skin-to-skin contact. The sensors also can be worn during X-rays, MRIs and CT scans.

Click to view Northwestern video

Artificial skin sensor could help burn victims “feel”

UConn chemists Islam Mosa and Professor James Rusling have developed a sensor that could detect pressure, temperature, and vibration when placed on skin.  

The sensor and silicone tube are wrapped in copper wire and filled with an  iron oxide nanoparticle fluid, which creates an electric current. The copper wire detects the current. When the tube experiences pressure, the nanoparticles move and electric signal changes.

Sound waves also create waves in the fluid, and the signal changes differently than when the tube is bumped.

Magnetic fields were found to alter the signal differently than from pressure or sound waves.  The team could distinguish between the signals caused by walking, running, jumping, and swimming.

The researcher’s goals are to  help burn victims “feel” again, and to provide  early warning for workers exposed to high magnetic fields. The waterproof sensor could also serve as a pool-depth monitoring wearable for children.


Join ApplySci at the 10th Wearable Tech + Digital Health + Neurotech Silicon Valley conference on February 21-22 at Stanford University — Featuring:  Zhenan BaoChristof KochVinod KhoslaWalter Greenleaf – Nathan IntratorJohn MattisonDavid EaglemanUnity Stoakes Shahin Farshchi Emmanuel Mignot Michael Snyder Joe Wang – Josh Duyan – Aviad Hai Anne Andrews Tan Le – Anima Anandkumar – Pierrick Arnal – Shea Balish – Kareem Ayyad – Mehran Talebinejad – Liam Kaufman – Scott Barclay – Tracy Laabs – George Kouvas

Wireless,biodegradable, flexible arterial-pulse sensor monitors blood flow

Zhenan Bao and colleagues have developed a wireless, battery-free, biodegradable sensor to provide continuous monitoring of blood flow through an artery.  This could provide critical information to doctors after vascular, transplant, reconstructive and cardiac surgery, with out the need for a visit.

Monitoring the success of surgery on blood vessels is difficult, as by the time a problem is detected, additional surgery is usually required.  The goal of the sensor is much earlier intervention.

The sensor wraps  around the healing vessel, where blood pulsing past pushes on its inner surface. As the shape of that surface changes, it alters the sensor’s capacity to store electric charge, which doctors can detect remotely from a device located near the skin but outside the body. That device solicits a reading by pinging the antenna of the sensor, similar to an ID card scanner. In the future, this device could come in the form of a stick-on patch or be integrated into other technology, like a wearable device or smartphone.


Join ApplySci at the 10th Wearable Tech + Digital Health + Neurotech Silicon Valley conference on February 21-22 at Stanford University — Featuring:  Zhenan BaoChristof KochVinod KhoslaWalter Greenleaf – Nathan IntratorJohn MattisonDavid EaglemanUnity Stoakes Shahin Farshchi Emmanuel Mignot Michael Snyder Joe Wang – Josh Duyan – Aviad Hai Anne Andrews Tan Le – Anima Anandkumar – Pierrick Arnal – Shea Balish – Kareem Ayyad – Mehran Talebinejad – Liam Kaufman – Scott Barclay – Tracy Laabs – George Kouvas

3D-printed, bluetooth-controlled ingestible capsule delivers drugs, senses environment

MIT’s Bob Langer and Giovanni Traverso have developed a 3D-printed, wirelessly-controlled, ingestible capsule that can  deliver drugs, sense environmental conditions, or both.  It can reside in the stomach for a month.  Data is sent to a user’s phone, and instructions from the phone are sent to the device.  The sensor could also communicate with other wearable and implantable devices, and send the combined data to a doctor.

The technology could improve drug delivery in conditions where drugs must be taken over a long period.  It can also sense infections, allergic reactions, or other events, and then release a drug accordingly.


Join ApplySci at the 10th Wearable Tech + Digital Health + Neurotech Silicon Valley conference on February 21-22 at Stanford University — Featuring:  Zhenan BaoChristof KochVinod KhoslaWalter Greenleaf – Nathan IntratorJohn MattisonDavid EaglemanUnity Stoakes Shahin Farshchi Emmanuel Mignot Michael Snyder Joe Wang – Josh Duyan – Aviad Hai Anne Andrews Tan Le – Anima Anandkumar – Hugo Mercier

Sensor patch monitors blood oxygen levels anywhere in the body

Ana Claudia Arias and Berkeley colleagues have developed a flexible, adhesive sensor that maps blood-oxygen levels over large areas of skin, tissue and organs, making it possible to monitor wound healing in real time, or oxygen levels in transplanted organs. It can also be used to continuously monitor blood oxygen levels in diabetes, respiration diseases and  sleep apnea.

The device is made of an array of alternating red and near-infrared organic LEDs and organic photodiodes, printed on bendable plastic that molds to the the body. Unlike fingertip oximeters, which measure oxygen levels at a single point, it can detect blood-oxygen levels at nine points in a grid and can be placed anywhere on the skin.


Join ApplySci at the 10th Wearable Tech + Digital Health + Neurotech Silicon Valley conference on February 21-22 at Stanford University — Featuring:  Zhenan BaoChristof KochVinod KhoslaWalter Greenleaf – Nathan IntratorJohn MattisonDavid EaglemanUnity Stoakes Shahin Farshchi Emmanuel Mignot Michael Snyder Joe Wang – Josh Duyan – Aviad Hai Anne Andrews Tan Le

Wearable system detects postpartum depression via baby/mother interaction

Texas professor Kaya de Barbaro is creating a mother-child wearable system to detect and attempt to prevent postpartum depression. Mother stress levels are measured via heart rythm, and encouraging messages are sent.  Mom wears the sensor on her wrist, and baby wears it on her/his ankle. The child’s sensor collects heart rate and movement data, which is correlated with the mother’s reaction.  Audio is recorded to track crying. Mothers receive messages, including “great job” and “take a breather” when stress is sensed via a faster heart beat, in an attempt to limit feelings of isolation.


Join ApplySci at the 10th Wearable Tech + Digital Health + Neurotech Silicon Valley conference on February 21-22 at Stanford University — Featuring:  Zhenan BaoChristof KochVinod Khosla – Nathan IntratorJohn MattisonDavid EaglemanUnity Stoakes Shahin Farshchi