Stroke patients have a new hope for arm rehabilitation thanks to a team from UH. Photo courtesy of UH

Almost 800,000 people in the United States suffer from a stroke annually — and the affliction affects each patient differently. One University of Houston researcher has created a device that greatly improves the lives of patients whose stroke affected motor skills.

UH engineering professor Jose Luis Contreras-Vidal developed a next-generation robotic arm that can be controlled by the user's brainwaves. The portable device uses a brain-computer interface (BCI) developed by Contreras-Vidal. Stroke patient Oswald Reedus, 66, is the first person to use a device of this kind.

Reedus lost the use of his left arm following a stroke that also caused aphasia, or difficulty speaking. While he's been able to recover his ability to speak clearly, the new exoskeleton will help rehabilitate his arm.

When strapped into the noninvasive device, the user's brain activity is translated into motor commands to power upper-limb robotics. As patients like Reedus use the device, more data is collected to improve the experience.

“If I can pass along anything to help a stroke person’s life, I will do it. For me it’s my purpose in life now,” says Reedus in a news release from UH. His mother and younger brother both died of strokes, and Reedus is set on helping the device that can help other stroke patients recover.

Contreras-Vidal, a Hugh Roy and Lillie Cranz Cullen distinguished professor, has led his device from ideation to in-home use, like with Reedus, as well as clinical trials at TIRR Memorial Hermann. The project is funded in part from an $813,999 grant from the National Science Foundation’s newly created Division of Translational Impacts.

"Our project addresses a pressing need for accessible, safe, and effective stroke rehabilitation devices for in-clinic and at-home use for sustainable long-term therapy, a global market size expected to currently be $31 billion," Contreras-Vidal says in the release. "Unfortunately, current devices fail to engage the patients, are hard to match to their needs and capabilities, are costly to use and maintain, or are limited to clinical settings."

Dr. Gerard E. Francisco, chief medical officer and director of the Neuro Recovery Research Center at TIRR Memorial Hermann, is leading the clinical trials for the device. He's also chair and professor in the Department of Physical Medicine and Rehabilitation at McGovern Medical School at UTHealth Houston. He explains that TIRR's partnership with engineering schools such as the Cullen College of Engineering at UH and others around the nation is strategic.

“This is truly exciting because what we know now is there are so many ways we can induce neuroplasticity or how we can boost recovery,” says Francisco in the release. “That collaboration is going to give birth to many of these groundbreaking technologies and innovations we can offer our patients.”

Both parts of the device — a part that attaches to the patient's head and a part affixed to their arm — are noninvasive. Photo courtesy of UH

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Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”

12 winners named at CERAWeek clean tech pitch competition in Houston

top teams

Twelve teams from around the country, including several from Houston, took home top honors at this year's Energy Venture Day and Pitch Competition at CERAWeek.

The fast-paced event, held March 25, put on by Rice Alliance, Houston Energy Transition Initiative and TEX-E, invited 36 industry startups and five Texas-based student teams focused on driving efficiency and advancements in the energy transition to present 3.5-minute pitches before investors and industry partners during CERAWeek's Agora program.

The competition is a qualifying event for the Startup World Cup, where teams compete for a $1 million investment prize.

PolyJoule won in the Track C competition and was named the overall winner of the pitch event. The Boston-based company will go on to compete in the Startup World Cup held this fall in San Francisco.

PolyJoule was spun out of MIT and is developing conductive polymer battery technology for energy storage.

Rice University's Resonant Thermal Systems won the second-place prize and $15,000 in the student track, known as TEX-E. The team's STREED solution converts high-salinity water into fresh water while recovering valuable minerals.

Teams from the University of Texas won first and second place in the TEX-E competition, bringing home $25,000 and $10,000, respectively. The student winners were:

Companies that pitched in the three industry tracts competed for non-monetary awards. Here are the companies named "most-promising" by the judges:

Track A | Industrial Efficiency & Decarbonization

Track B | Advanced Manufacturing, Materials, & Other Advanced Technologies

  • First: Licube, based in Houston
  • Second: ZettaJoule, based in Houston and Maryland
  • Third: Oleo

Track C | Innovations for Traditional Energy, Electricity, & the Grid

The teams at this year's Energy Venture Day have collectively raised $707 million in funding, according to Rice. They represent six countries and 12 states. See the full list of companies and investor groups that participated here.

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This article originally appeared on our sister site, EnergyCapitalHTX.com.