CarePredict: Harnessing the Power of Data to Enhance Quality of Life for Seniors

Caring for his elderly parents, Satish Movva began noticing new health-related concerns during his weekly visits. He recognized that he could no longer rely on the accuracy of his parents’ own observations and assessments to convey the subtle changes that can indicate a more serious health issue. Were they eating less? Becoming more sedentary? Not sleeping as well? For peace of mind and to provide early insights into their wellbeing, Movva tapped into his extensive background in healthcare technology to found CarePredict in 2013. Headquartered near Fort Lauderdale, Florida, CarePredict develops monitoring systems designed to improve the quality of life of seniors.

The CarePredict digital health platform utilizes the Tempo wearable and precise location sensors to track the behavior, patterns, and deviations of each user. The system, which is used in senior living facilities and private homes, relies on biosensors, deep learning algorithms, and predictive analytics to provide actionable insights to caregivers. It can help predict conditions like urinary tract infections, depression, or fall risks. Earlier this year, the Tempo Series 3 for the home was named a CES 2020 Innovation Awards honoree in the wearables category.

Movva, who is the company’s CEO, noted that older technologies like motion sensors aren’t able to provide detailed insights other than motion tracking. The CarePredict platform can track where the wearer is—in a bedroom, the kitchen, or a bathroom, for example. What’s more, it learns the daily tempo of each user, and can detect and report shifts in behavior to trigger early intervention. The Tempo wearable, worn on the dominant arm, uses gesture recognition to identify various activities, such as when the wearer is lifting a fork to their mouth. Wearers can push a button on the device to contact a caregiver or, with the home version, speak to a family member. Through an associated app, families “can get a detailed understanding of how their loved one is doing day to day. Did they skip a meal or two today? Are they being less active than they used to be?” explained Movva.

With multigenerational households being less common, said Movva, “We’ve become that continuous observation platform for elders aging away from their family.”

Challenges

Creating such a complex yet easy-to-use health monitoring system required an array of underlying technologies. Accurate biosensors and fuel gauges, power-efficient switching regulators, and high-performing audio amplifiers were on the company’s wish list. The Tempo wearable is compact and battery powered, so the components also needed to support its small footprint and expected long runtime.

The CarePredict digital health platform, which includes the Tempo wearable, uses artificial intelligence to derive actionable insights to enhance care and quality of life for seniors. The CarePredict digital health platform, which includes the Tempo wearable, uses artificial intelligence to derive actionable insights to enhance care and quality of life for seniors.

Solutions and Benefits

As the CarePredict team evaluated ICs, they began working with Maxim Ventures, which invests in healthcare and life sciences startups. Through this collaboration, the team found the technologies and support they needed to build their platform. Inside the CarePredict system, including the Tempo wearable, are:

  • A new optical biosensing module
  • MAX20343 ultra-low quiescent current, low-noise 3.5W buck-boost regulator for wearables and IoT designs
  • MAX14689 ultra-small, Beyond-the-Rails™ DPDT analog switch
  • MAX98357 digital pulse-code modulation input Class D amplifier, which provides Class AB audio performance with Class D efficiency
  • MAX16125 dual pushbutton controllers
  • MAX17055 7µA, 1-cell fuel gauge with ModelGauge™ m5 EZ algorithm on the Tempo’s battery pack
  • MAX17201 stand-alone ModelGauge m5 fuel gauge with SHA-256 authentication on the system’s room beacon
  • MAXM86146 industry’s thinnest optical sensor module with integrated algorithms

“All of our devices use Maxim fuel gauges because they’re the most accurate,” said Movva. He and his team worked closely with Maxim engineers to create the sensor module for the Tempo wearable, which monitors pulse oximetry and heart rate. “There are lots of heart-rate sensors out there, but their quality in terms of accuracy isn’t there. Maxim showed us what is possible, and really pulled out all the stops. The parts are really fantastic, are quick and easy to design with, and have low power consumption, high accuracy, and form factors that are perfect for our kind of wearable.”

Typically, a sensor module like the one in the Tempo wearable takes at least a year to incorporate into a design. CarePredict’s sensor module was completed in six weeks, said Movva. “We were actually able to get the sensor module to our mass production contract manufacturer so they could build it. That gave us time to refine other aspects of our design around the software.”

Looking Ahead

Given the healthcare-related demands of the COVID-19 pandemic, CarePredict has tapped into its location-tracking technology to create a contact-tracing capability. The CarePredict PinPoint system, to be used in care facilities, identifies within seconds all of the individuals and places that an infected person has come into contact with.

Looking ahead, the CarePredict team plans to explore respiration rate monitoring, a capability that could further help in the care of COVID-19 patients and well as those with other respiratory illnesses. “Continuous monitoring of vulnerable populations is an absolute must-have,” said Movva. The collaboration with Maxim Integrated is sure to continue, and what makes it particularly gratifying, in Movva’s view, is the shared social mission that these two companies have. “We’re helping seniors live longer, safer, healthier lives, and giving families peace of mind,” he said.