StethoCloud: A Connected Stethoscope for Parents and Doctors Alike

Dr. Andrew Lin and Dr. Hon Weng Chong, founders of StethoCloud, have designed and built an inexpensive smartphone stethoscope that can be used by parents and doctors alike. The device is easy enough for a parent to use at home and cheap enough so that a doctor can use it in the developing world to diagnose diseases like pneumonia. The Company started from a winning entry into the 2012 Microsoft Australian Imagine Cup – a student technology competition. StethoCloud has come a long way since their first prototype and Andrew has answers to some of our questions below.

A: How did you decide to create a modern stethoscope?  

AL: As doctors, Hon and I have always believed that in the future, an explosion of data will help medical professionals make better informed decisions, with far more leverage on their time than today. For this to happen, we realized that we needed prolific sensors that can collect the data required. We decided on the stethoscope because the data is extremely rich, containing powerful diagnostic information, which can diagnose a broad range of respiratory and heart conditions. Initially, we entered Microsoft’s Imagine Cup competition as a student project, where we focused on pneumonia.

 

A: What is the vision and mission of StethoCloud? 

AL: Connected diagnostic devices for consumers, and a software platform to help drive in-home healthcare delivery.

 

A: Who is your target audience for the product? 

AL: Initially, we plan to market our product to parents of young children. This is because respiratory illnesses are extremely common (e.g. croup, bronchiolitis, asthma) and a connected stethoscope will become a valuable tool that can help parents get advice remotely, especially on transient events such as asthma attacks. Beyond this, the tool is also useful for those with chronic illnesses or under care.

 

A: What are the main differentiators of StethoCloud versus what is currently available in the market that makes it such an industry game changer?

AL: We have designed the device for consumers and the interface is easy to use. It will be much cheaper than existing devices. In the future, we plan to roll out algorithms that provide analytics and help with decision support.

 

A: How will StethoCloud work with other applications to paint the picture of health for an individual?

AL: It’s early days, but we plan to develop APIs to allow cross-platform integration.

 

Difficulties in Making Wearables, Because Hardware is Hard

A number of reports on Nike restructuring their FuelBand division came out this past week. The fitness giant confirmed layoffs in its Digital Sports division and as CNET reported, “As early as this fall, Nike planned on releasing another iteration of the FuelBand — an even slimmer version — but cancelled the project. And it appears to have shelved all future physical product projects under the Digital Sport helm, the person familiar with the matter added.” Re/code wrote about the matter on Friday, with their sources saying that “the decision over what to do has been debated for months within the company, due to high expenses, manufacturing challenges and the inability to make adequate margins on the business. In addition, sources note that Nike has been unable to attract as high a level of engineering talent as the business has grown.”

Jawbone’s 2011 recall of its first UP band, and Fitbit’s recent recalls of their Force band are other indications that making small wrist wearables isn’t easy.

Over the weekend, I played around with an Arduino, creating a ‘wearable’ by hooking up a display, 3-axis accelerometer, temperature sensor, vibrating motor, pulse sensor, and battery. With help from the team at iRoboticist, I was able to put together a working prototype. Thinking through all the parts in these devices gave me new appreciation for all the work that wearables-focused hardware and software engineers do – while balancing high consumer expectations (battery life length, water resistance, size, display quality…and the list goes on). Aside from building, there’s also managing the supply chain and handling the manufacturing aspect of the product cycle, which can often be tedious and unnerving.

Here are some neat teardowns of common wearables from iFixit (Fitbit Flex), Chipworks (Nike FuelBand), and iFixit (Pebble smartwatch). These sites give you a great inside look at all the components jammed into the thing you are wearing on your wrist.

The technology here has come a long way. Kudos to all the companies that continue to prioritize and innovate on wearable devices.

Gero Lab: Using Everyday Movement to Predict Risk of Age-Related Diseases

Locomotome, as coined by the Human Locomotome Project is a set of human locomotive data that can be analyzed to predict human stress levels and proclivity of age-related metabolic or degenerative disorders.

Gero Lab, a new and burgeoning company in this space, has been collecting locomotome data to discover markers of age-related diseases and evaluate the clinical importance of these markers. They have an app that collects initial answers to health questions and then uses activity data from devices like FitBit, Jawbone, and Bodymedia to further cement their locomotome models. Users are then sent metrics on their neurological state and potential health conditions, increasing their awareness of various health factors important for early prevention and lifestyle changes.

Gero co-founder Vera Kozyr answers some of my questions below.

What was the driving force to create Gero? What are the company’s goals?

We were originally studying different biological signals including transcriptome and genome signals, looking for signatures of aging and associated chronic deceases. Then we realized that the locomotome signal is extremely rich and much more convenient to gather, so we adjusted all our mathematical models and algorithms for it. The goal of our company is to create a convenient (non-invasive and seamless) and reliable tool for the early stage diagnosis of different diseases.

How can data collected and used in Gero models be translated into action items for users?

Awareness is very important when it comes to health. Early warnings can be impactful, especially for slowly developing health conditions. For example, life-style changes during the early stages of diabetes type 2 can significantly slow down the development of the disease or even reverse it. In the future, after passing FDA approval, GERO technology could also be used by doctors for preventative measures.

What are some of the most interesting bits of data that you have gathered so far? What is to come?

The key takeaways of our first 3,000 Fitbit study (finished in November of last year) are:

• Motor activity contains signatures of particular chronic deceases (metabolic, psychiatric and neurological)
• Low-resolution trackers (e.g. Fitbit, Jawbone, etc.) can also be used with GERO’s mathematical model with sufficient tracking time
• We are already passed the proof of concept phase to detect particular health conditions with accuracy

We keep working on increasing the accuracy of our algorithms. Along with disease risks and trends, we have learned to detect biological age and gender. At the moment we are focusing on diabetes and soon will publish some of our very interesting findings.

How does the app / data interface help users?

As we are still in the research stage we don’t claim that our app helps users at the moment. It collects activity data and helps to develop our technology. Individual health reports that we will release to our participants of course might potentially help by giving awareness of health conditions and showing their trends.