AI driven, music-triggered brain state therapy for pain, sleep, stress, gait

The Sync Project has developed a novel, music-based, non-pharmaceutical approach to treating pain, sleep, stress, and Parkinson’s gait issues.

Recent studies showed Parkinson’s patients improved their gait when listening to a song with the right beat pattern, and post surgery patients used 1/3 the amount of self-administered morphine after listening to an hour of music.

Lifestyle applications include Unwind, an app detects ones heartbeat, and responds with relaxing music (customized by machine learning tools) to aid sleep, and the Sync Music Bot, which uses Spotify to deliver daily music to enhance work, relaxation, and exercise.

With further clinical validation, this non-invasive therapy could replace drugs for better, targeted, personalized interventions.

Join ApplySci at Wearable Tech + Digital Health + NeuroTech Boston on September 19, 2017 at the MIT Media Lab – featuring  Joi Ito – Ed Boyden – Roz Picard – George Church – Nathan Intrator –  Tom Insel – John Rogers – Jamshid Ghajar – Phillip Alvelda – Michael Weintraub – Nancy Brown – Steve Kraus – Bill Geary – Mary Lou Jepsen – Daniela Rus

Registration rates increase Friday, July 14th

Adhesive patch + nose wearable detect sleep apnea

Somnarus has developed a disposable, adhesive patch that detects obstructive sleep apnea at home.

The SomnaPatch is worn on the forehead, wth an addtional piece on the nose. It records nasal pressure, blood oxygen saturation, pulse rate, respiratory effort, body position and how long a patient is asleep.

An 174-patient study showed that results from the SomnaPatch matched standard in-lab polysomnography 87% of the time.

If the device is proven effective in larger studies, it could be a cheaper, more comfortable alternative to lab-based sleep studies.

Join ApplySci at Wearable Tech + Digital Health + NeuroTech Boston on September 19, 2017 at the MIT Media Lab – featuring  Joi Ito – Ed Boyden – Roz Picard – George Church – Nathan Intrator –  Tom Insel – John Rogers – Jamshid Ghajar – Phillip Alvelda – Michael Weintraub – Nancy Brown – Steve Kraus – Bill Geary – Mary Lou Jepsen

Preferred registration rates available through Friday, June 9th.

Earbud sensor reportedly measures blood pressure, dehydration

As health sensors become more discreet, and fused with commonly worn devices, Kyocera has integrated a tiny, optical sensor into its earbud.  The hybrid music/phone/health use wearable measures blood flow in hypodermal tissues using Laser Doppler velocimetry. It can monitor nerve and blood pressure, levels of dehydration, and possible signs of heat stroke.  Sleep monitoring can be done more accurately than with current devices, and the effect of music on brain states can also be studied.

Join ApplySci at Wearable Tech + Digital Health + NeuroTech Boston on September 19, 2017 at the MIT Media Lab. Featuring Joi Ito – Ed Boyden – Roz Picard – George Church – Nathan Intrator –  Tom Insel – John Rogers – Jamshid Ghajar – Phillip Alvelda


Cabin sensors, wearables, smart pills to monitor air passenger health

British Airlines has filed a patent application for a system that would monitor when a passenger is awake, asleep, hungry, nervous, hot, cold or uncomfortable.

The “system and method for controlling the travel environment for a passenger” encompasses motion-sensing sleep monitors, wearables that track eye movement, heart rate, and temperature, and ingestible health-tracking pills.

The company aims to use the data to optimize a passenger’s environment/experience while flying.

ApplySci’s 6th   Wearable Tech + Digital Health + NeuroTech Silicon Valley  –  February 7-8 2017 @ Stanford   |   Featuring:   Vinod Khosla – Tom Insel – Zhenan Bao – Phillip Alvelda – Nathan Intrator – John Rogers – Roozbeh Ghaffari –Tarun Wadhwa – Eythor Bender – Unity Stoakes – Mounir Zok – Krishna Shenoy – Karl Deisseroth – Shahin Farshchi – Casper de Clercq – Mary Lou Jepsen – Vivek Wadhwa – Dirk Schapeler – Miguel Nicolelis

ApplySci is delighted to welcome the Bayer LifeScience iHUB as a sponsor of Digital Health + NeuroTech at Stanford.

Sleep app uses wearable sensors, cloud analytics

The American Sleep Apnea Association,  Apple and IBM have begun a study about the impact of sleep quality on daily activity level, alertness, productivity,  health and medical conditions. iPhone and Apple Watch sensors and the ResearchKit framework collect data from healthy and unhealthy sleepers, which is sent to the Watson Health Cloud.

The SleepHealth app uses the watch’s  heart rate monitor to detect sleep, and gathers movement data with its accelerometer and gyroscope. The app includes a  “personal sleep concierge” and nap tracker, meant to help users develop better sleeping habits.

Data is stored and analyzed on the Watson Health Cloud, allowing researchers to see common patterns .  The long term goal is to develop  effective interventions.

Wearable Tech + Digital Health San Francisco – April 5, 2016 @ the Mission Bay Conference Center

NeuroTech San Francisco – April 6, 2016 @ the Mission Bay Conference Center

Wearable Tech + Digital Health NYC – June 7, 2016 @ the New York Academy of Sciences

NeuroTech NYC – June 8,2016 @ the New York Academy of Sciences


Ring monitors vitals 24/7, makes sleep improving suggestions

Oura ring is a crowdfunded wearable that monitors heart rate, respiration, temperature, and movement, including time spent sitting.   The ceramic ring uses Bluetooth to share data with the accompanying app, which makes activity suggestions to improve sleep.  It also provides a “readiness score,” which the company claims alerts a user of his/her peak physical and mental performance times. Oura’s battery lasts for three days, and is charged in its ring box.



Sleep sensor directs appliances, allows remote monitoring

Samsung’s SleepSense measures breathing, heart rate, and movement in real time, without  touching the body. The company claims that this monitoring results in a 97% accurate sleep score, delivered to one’s phone.

SleepSense can communicate with a television, audio system, thermostat, and other household devices, to create a favorable sleep environment.  TVs can be turned off automatically; room temperature can be adjusted; lights can turned on in the morning; and a coffee maker can be directed to start brewing.

The cloud based system allows remote monitoring of an elderly or disabled loved one (with a mattress sensor)  and can receive emergency alerts.

Device scores daily sleep quality

Nintendo has filed a patent for a  device that scores one’s sleep quality each day.   A user’s weight, pulse and movement information, as well as room temperature and humidity, are gathered.  A microphone, camera, thermometer and other sensors calculate a sleep score that will be projected onto the ceiling.

The abstract describes sensors that assess emotions, with out much detail. (The application is written in Japanese.) The challenge is to find a way to use this information to actually improve sleep quality.

Built-in, contactless sensors monitor breathing

Novelda’s building-integrated “XeThru” sensor modules detect human presence and monitor respiration.  Breath rate and depth are measured and tracked in real-time.   The use of radio waves, rather than infrared, ultrasound or light, allows the modules to ‘see through’ a variety of objects, including  building materials and blankets.

The sensors are intended for hidden, tamper proof, smart home automation.  They are tools for allowing seniors to age in place, as breathing abnormalities are observed with out a manual alarm trigger.  Sleep abnormalities can also be detected. The system can, of course, also be used for security,  and to control climate and lighting.


Less obtrusive sleep monitoring

Stevens Institute of Technology and Florida State University researchers have developed a sleep monitoring system using earbuds with an in-line microphone plugged into an iPhone. The microphone monitored study participants’ breathing to within half a breath per minute of what could be recorded with a chest-worn respiration monitor and collar clipped microphone.  The novelty of the system is the ability to place the earphones on a table next to the bed, making the process much less obtrusive. Ambient noise was filtered out, allowing  focus on breathing, snoring and coughing.

Lead researcher Yingying Chen believes that the system will help diagnose health problems, such as sleep apnea.  This is typically studied at hospitals, where sensors are attached to a patient’s body and sleep is monitored. Chen believes that it is difficult for doctors to capture irregular patterns in a hospital setting.

The team plans to release a related smartphone app next year.