Category Archives: Parkinson’s

Verily’s health sensing research watch

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The  Verily Study Watch passively captures health data for continuous care platforms and clinical research. Key features described by the company include:

  • Multiple physiological and environmental sensors are designed to measure relevant signals for studies spanning cardiovascular, movement disorders, and other areas. Examples include electrocardiogram (ECG), heart rate, electrodermal activity, and inertial movements.
  • A long battery life of up to one week in order to drive better user compliance during longitudinal studies.
  • Large internal storage and data compression allow the device to store weeks’ worth of raw data, thus relaxing the need to frequently sync the device.
  • A powerful processor supports real time algorithms on the device.
  • The firmware is designed to be robust for future extensions, such as over-the-air updates, new algorithms, and user interface upgrades.
  • The display is always on so that time is always shown. The display is low power and high resolution for an appealing look and a robust user interface. Note: currently, only time and certain instructions are displayed. No other information is provided back to the user.

The watch will be used in Verily’s current and forthcoming studies, such as the  Personalized Parkinson’s Project, meant to track progression, and the Baseline study, meant to understand transitions between health and disease.


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

VR training to reduce falls in Parkinson’s, dementia

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Tel Aviv University’s Jeff Hausdorff has created a virtual reality treadmill system in an attempt to prevent falls in Parkinson’s  and  dementia patients.

Current interventions focus on improving muscle strength, balance and gait.  By integrating motor planning, attention, executive control and judgement training, using VR, therapies can also address the cognitive issues associated with falls.

In a recent study of 282 participants,  146 did treadmill + VR training, and 136 did treadmill training alone. VR patient foot movements were filmed and shown on a screen, in order for them to “see” their feet walking  in real-time. The game-like simulation included avoiding and stepping over puddles or hurdles, and navigating pathways. It also provided motivational feedback.

Fall rates were similar in both groups before the training. Six months after, those who participated in the VR intervention fell 50% less. Those who did not train with VR had consistent fall rates. The biggest improvement was seen in Parkinson’s patients.

Patients can receive the combined therapy at the Hausdorff-led Center for the Study of Movement Cognition and Mobility at Tel Aviv’s Ichilov Hospital.

Click to view the Tel Aviv Sourasky Medical Center video.


Join ApplySci at Wearable Tech + Digital Health + NeuroTech Boston – Featuring Roz Picard, Tom Insel, John Rogers and Nathan Intrator – September 19, 2017 at the MIT Media Lab

Carbon electrode technique tracks dopamine in the brain

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Michael Cima and MIT colleagues have developed a more precise tool to measure dopamine in the brain, to be able to study its role in in learning, memory, and emotion.

The new carbon electrode based technique can cover more of the brain, and provide longer, more accurate neurotransmitter readings, than previously possible.

The goal is a better understanding of neurtransmitter related diseases, and potential therapies to boost dopamine levels, in conditions that dysregulate it, such as Parkison’s disease.

According to lead author Helen Schwerdt: “Right now deep brain stimulation is being used to treat Parkinson’s disease, and we assume that that stimulation is somehow resupplying the brain with dopamine, but no one’s really measured that.”


Join ApplySci at Wearable Tech + Digital Health + NeuroTech Boston – Featuring Roz Picard, Tom Insel, John Rogers and Nathan Intrator – September 19, 2017 at the MIT Media Lab

VR for early neurodegenerative disease detection, personalized rehabilitation

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Tomsk Polytechnic and Siberian State University scientists David Khachaturyan  and  Ivan Tolmachov have developed a VR based neurodegenerative disorder diagnosis system.  The goal is the early detection and tretment of diseases, including MS and Parkinson’s.  The next step is the use of VR systems, like Glass and Kinect, for personalized rehabilitation.

50 subjects, both healthy and already diagnosed, used VR headsets,  a non-contact sensor controller and a mobile platform during a variety of activities.  Changes in posture and balance were detected, and compared to a human  skeleton model of 20 points on the body.  Deviations from the model indicated disease.  Differences in reactions of those with difference diseases was also noted —  Parkinson’s patients experienced hand tremors, and others experienced compromised coordination.

A clinical trial  will be completed in 2017.


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 – Mary Lou Jepsen – Vivek Wadhwa – Miguel Nicolelis – Roozbeh Ghaffari – Unity Stoakes

Implant + wearable to track neuromodulation effectiveness

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Medtronic is linking its implanted devices with Samsung’s phones and tablets to better monitor the effectiveness of neuromodulation technologies.  (Click to view Samsung release.)

Those with implanted neurostimulators, which  send electronic signals to targeted areas of the brain to block symptoms, can have a more active role in the management of their diseases.  Parkinson’s, essential tremor and dystonia patients will hopefully benefit from the initiative.

Data from the devices will be sent to a patient’s mobile devices, including phones, wearables and tablets, in real time.  It can also be sent directly to a doctor to help them better understand patient symptoms and progress, and appropriately adjust therapies.

The two companies announces a similar partnership for the management of diabetes earlier this year.


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

NeuroTech San Francisco – April 6, 2016 @ the Misson 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

 

Wearable + exercise app to improve Parkinson’s symptoms

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MIO and Beneufit have partnered to develop wearables to target the symptoms of Parkinson’s disease.

The pdFIT exercise app was developed to improve manual dexterity and fitness levels in Parkinson’s patients.  The wearable continuously monitors progress via sensors on the wrist.

The company claims that its Optimal Heart Rate  technology cancels noise caused by movement, due to an added accelerometer.  This improves the accuracy of the heart rate monitoring algorithm.

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

 

Study: Cancer drug improves Parkinson’s cognitive, motor functions

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A small, early stage trial (with no control group) at Georgetown has  found that a small dose of the leukemia drug nilotinib (brand name “Tasigna” by Novartis) produced “meaningful clinical improvements” in 10 out of 11 patients.

The potential impact is significant, and the researchers believe that expanded studies will validate the  promising results. During the trial, participant dopamine levels increased so much that they were advised to reduce or stop taking other drugs.

The investigators reported that one participant, who was confined to a wheelchair,  was able to walk again, and three participants who could not speak were able to hold conversations.

The study marks the first time a therapy appears to reverse the “cognitive and motor decline in patients with these neuro-degenerative disorders,” according to Professor Fernando Pagan, who led the study with Charbel Moussa.

There has been some success with stimulation treatments for Parkison’s symptoms, and advances in early diagnosis and monitoring, but there is no known cure for this debilitating disease.  (See ApplySci Parkinson’s coverage, 2013-2015.)

Click to view Georgetown University Medical Center video.

WEARBLE TECH + DIGITAL HEALTH SAN FRANCISCO – APRIL 5, 2016 @ THE MISSION BAY CONFERENCE CENTER

NEUROTECH SAN FRANCISCO – APRIL 6, 2016 @ THE MISSION BAY CONFERENCE CENTER

Ultrasound targets deep brain region, helps Parkinson’s symptoms

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University of Maryland researchers are using MRI-guided focused ultrasound on the globus pallidus to treat Parkinson’s symptoms. The ExAblate Neuro system was developed by Israel’s Insightec.  The treatment is non-invasive, as it does not require a cut, but its ultrasound impacts a deep region of the brain, which is not with out risk.

Currently, drugs and (implanted) deep brain stimulation techniques treat  tremor, rigidity and dyskinesia in Parkinson’s patients.

According to Professor Howard Eisenberg, this  treatment could “help limit the life-altering side effects like dyskinesia to make the disease more manageable and less debilitating.”

During the  2-4 hour outpatient procedure, patients lie in an MRI scanner with a head-immobilizing frame fitted with a transducer helmet. Ultrasonic energy is targeted through the skull to the globus pallidus, and images acquired during the procedure give physicians a real-time map of the area being treated.  Patients are fully awake and able to interact with the treatment team, allowing the physicians to monitor immediate effects and make necessary adjustments.

Digital pen/machine learning based neurodegenerative disease diagnosis

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MIT researchers have developed a digital assessment tool based on the Anoto Live Pen that they believe will improve the accuracy of Alzheimer’s and Parkinson’s Disease diagnosis.  A paper demonstrates a machine learning based predictive model that might detect neurodegenerative diseases earlier than current methods.

According to lead author William Souillard-Mandar,  the technology “allows us to extract thousands of features from the drawing process that give hints about the subject’s cognitive state, and our algorithms help determine which ones can make the most accurate prediction.”

Phone based Parkinson’s research

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mPower is a mobile Parkinson’s Disease study, powered by HealthKit.  It attempts to understand why people experience different symptoms, and why a person’s symptoms and side effects can vary over time.

The process includes surveys and tasks that activate phone sensors. Progression symptoms, including dexterity, balance and gait, are tracked. The goal is to understand variations, improve the way variations are described, and learn how mobile devices and sensors can help measure the disease and its progression.

This study is sponsored by Sage Bionetworks and the Robert Wood Johnson Foundation, and builds on the work of Max Little.

WEARABLE TECH + DIGITAL HEALTH NYC 2015 – JUNE 30 @ NEW YORK ACADEMY OF SCIENCES.  REGISTER HERE.