Ultrasound for Autonomous Heart Attacks

Every year, half of the 610,000 heart attack deaths in the United States are due to a lack of prompt medical attention. Currently, most technologies fail to fix the problem, as they simply take too long to be able to detect a heart attack in time.


Heart attacks are the leading cause of death in the United States, claiming 610,000 victims a year. On the surface level, it is easy to blame the treatment methodologies in place. However, the

Centers for Disease Control report that 47% of these deaths occur outside a hospital (“Heart Disease Facts”, 2015). The problem thus lies not in the treatment of a heart attack but in the detection of it. In the summer of 2015, we worked to design a product which could detect heart attacks at their earliest stage and alert both users and medical authorities if any abnormalities were to be detected.

The first step was to research and understand what a heart attack is. Heart attacks are caused by a

coronary artery blockage from an eventual buildup of cholesterol and lipids, collectively known as plaque, which generally develops in aged patients. This blockage prevents oxygen from reaching the heart and, within twenty minutes, begins to cause irreparable damage to the heart muscle. It is only at this stage that the patient feels the first physical symptoms in the form of chest pain or shortness of breath (“What is a Heart Attack?”, 2015). If the patient calls an emergency service immediately, he/she will most likely have enough time to be treated. However, the CDC reports that only 27% of respondents in a 2005 survey could recognize and therefore act upon major symptoms of a heart attack, meaning that many heart attacks go unnoticed until it is too late to save the patient (“Heart Disease Facts”, 2015). Therefore, any

solution to this problem must be able to autonomously detect a heart attack within these first twenty minutes and must constantly be with the user to track any and all abnormalities in real time. In the status quo, detection technologies are largely located in hospitals, but this initial research reveals that the answer lies in the form of a smaller and more accessible consumer device rather than in traditional medical equipment.


A. Need Specifications

The next step was to design a set of need specifications that the product would have to meet in order to be a success, both in terms of its performance and appeal to consumers.

These specifications are listed in Table 1.

The “five A’s” were set through an analysis of relative data. A hospital-grade 12lead electrocardiogram machine, the gold standard of detection technology, is able to provide a definitive diagnosis 90% of the time, so an improvement should ideally be able to match if not exceed this accuracy (“How Is Heart Disease Diagnosed?”, 2014). Similarly, an electrocardiogram test takes five minutes to complete, so through autonomous administration, it would be viable for a consumer device to conduct its own test within less than twenty minutes of the start of a heart attack (acceleration) (“How is Heart Disease Diagnosed?”, 2014). The performance-based aspects of accuracy and acceleration in a device would be most important to a successful detection process, so any design that did not meet the baseline specifications in these two “As” would be inadequate. In the case that a heart attack was detected, the device would then need to be alert and communicate the results with both the user and paramedics to complete a successful detection process. Of course, as a consumer device, it would have to be relatively affordable, so it should be priced at less than $1000 based on current models on the market. Last of all, the comfort and style of the product was crucial to appeal to the customer. These “five As” thus served as a set of quantitative parameters to test which technologies and resultant product designs would have the desired specifications.

Product Concepts – Biomarkers:

In order to detect a heart attack, the consumer device would need something tangible to detect, so the first step was to find an indicator tied directly to the condition of the heart. The main alternative to electrocardiography, which tracks electrical signals throughout a heartbeat, seemed to be the numerous biomarkers which change from the norm during a heart attack. None of our product designs tracking these biomarkers ultimately proved to meet the need specifications. However, these failed designs proved to be paramount to the research process, as they eliminated all imperfect solutions to progressively narrow the search for the final answer. An overview of these biomarkers are listed below:


The protein troponin is found in the heart muscle and is released when the muscle takes damage. Thus, during a heart attack, troponin levels exceed the 99th percentile of values (Mahajan and

Jarolim, 2011). Two potential product designs were formulated to track changes in this indicator. Inspired by nanotechnology research done by the Vascular Biotechnology Institute, the first design was a pill which would break down into nanoparticles on consumption and collectively report data on troponin levels to a metal wristwatch through magnetic attraction.(“Nanotech Delivers Clot-busting Drugs to Heart Attack, Stroke Patients”, 2015). The second design played with the idea of a blood test self-administered by the patient (“Troponin Test: MedlinePlus Medical Encyclopedia”, 2016). However, it became apparent that both products would be expensive (fail affordability) and had the fundamental flaw of not being able to autonomously track troponin levels (fail alertness). Therefore, none of these products seemed to be ideal. A bit more research revealed that any troponin-based solution could not possibly meet the baseline parameters, as troponin levels themselves spike anywhere from two to six hours after the initial onset of a heart attack (fail acceleration). A test used to track them would take even longer, by which time it would be far too late to save the patient.

White Blood Cells:

As the body’s defense mechanism, white blood cells are called into action to displace the plaque from the blocked coronary artery during a heart attack (Harvard University Staff, 2005) This change from the norm spawned the concept of a surgically implanted chip that could detect elevated levels of white blood cells in the heart. Aside from the fact that chip would be too invasive, the biomarker it tracked was once again unsuitable. White blood cells also spike in a delayed reaction, once again falling short of our needs.


Similar to white blood cells, platelets congregate at the plaque blockage to form blood clots (Kulick, 2015). This reaction is almost immediate and changes in platelet count is thus able to be tracked in time unlike other biomarkers. However, the reaction is unfortunately too localized to track with a great deal of accuracy. Furthermore, the detection method itself, called light scattering technology, is technologically difficult to incorporate into a consumer device and is excessively expensive. These failed experiments in the realm of biomarkers left no choice but to explore the already saturated field of electrocardiography.

Product Concepts – Electrocardiography or Echocardiography?:

With so many consumer devices incorporating ECG technology, a novel product would have to find some way to differentiate itself from the rest. As stated previously, the gold standard in detection technology is the 12-lead ECG, which uses ten electrodes placed across the body to capture twelve different pictures of electrical activity in the heart muscle. These twelve data points provide physicians a perspective from all three planes of motion (sagittal, frontal, transverse) and thus the accuracy of the diagnosis is ensured (“12-Lead ECG Placement”, 2014). Now, an interview with Dr. Jeffrey West, a practicing cardiologist for twenty years, revealed that most existing solutions replicating this model are fast, cheap, and accessible but sacrifice much of the accuracy of the 12-lead ECG for the sake of these qualities. AliveCor’s Kardia incorporates a 1-lead ECG into an iPhone case to provide readings on electrical impulses in the heart at the touch of a finger (AliveCor, 2016). However, Kardia’s single lead can read data from only one plane of motion and thus has the scope to miss abnormalities in any one of its many blind spots. This is not to mention that Kardia cannot autonomously administer the test. The patient would only check with Kardia if he/she felt any physical symptoms which, as stated before, evolve too late in the process. It thus loses out on not only accuracy but speed, failing both performance-based need specifications listed. iRhythm’s Zio Patch ($299) uses a 3lead ECG to track electrical activity over a two-week period and thus has higher accuracy, but has little to no ability to detect a heart attack as the data can only be analyzed retrospectively by a physician (iRhythm, 2016). HealthWatch’s ECG Shirt ($199) is the best solution in the market as of now. It integrates electronic leads into the fabric of an undershirt and thus ideally has the accuracy and speed of a 12-lead ECG (Comstock, 2014). An assessment of the competition spawned the product design for the ECG Waistband ($149), a wrap-around wearable which would autonomously scan the heart muscle every half an hour and report and abnormalities to medical authorities. However, this design barely offered an improvement on the ECG Shirt, a device already in the market.

In a second interview, Dr. West thus recommended a closer look into an improbable solution, echocardiography. An echocardiogram uses ultrasound technology to visually study the ventricular motion of the heart (“What Is Echocardiography?”, 2011) During a heart attack, this motion is impaired as the contractile force of the heart progressively weakens due to the lack of oxygen. Echocardiography is at best used in the hospital setting as an alternative test to electrocardiography and is not even considered by the wearables market. Even if one managed to integrate bulky ultrasound technology into a consumer device, the returned data (body images) would need to be comprehensively analyzed by an expert due to their qualitative nature. If the device scanned and sent results to the hospital every half an hour for inspection, the process would waste medical/human resources, exponentially raise health care premiums for the patient, and kill valuable time which could be the difference between life and death. It would thus be an entirely unrealistic solution in its present state. However, if an echocardiograph could convert qualitative results into quantitative, machine-readable data, it could potentially yield a viable solution. This road led to the blueprint of a continuous wave Doppler ultrasound patch which would not only advance the heart attack detection market, but also manage to match if not exceed the functionality of the ECG Waistband.


A. Design

The final product design, a continuous wave Doppler ultrasound patch called the Ekko Patch, has two main components that cooperatively work to provide a diagnostic using a value called the dp/dt max. This stands for the rate of change of ventricular pressure, which is an accurate, quantitative indicator of the contractile force of the heart at any given time. The standard interval used to calculate change in each value is that between the blood velocities of 1 m/s and 3 m/s, which represent those at the beginning and end of a contraction. The change in pressure in this interval is given to be 32 mmHg, but the change in time can only be solved for through the inputted information, which is where the device comes into play (“Ventricular Contractility Assessment (dP/dt))”, 2013). To start the scan every half an hour, a battery pack sends voltage through to the bottom part of the patch, a transducer. This electrical energy is converted to vibrational sound energy as it passes over piezoelectric sensors, thus emitting high-frequency ultrasound waves over the mitral regurgitation jet, a valve located above the left ventricle (“Mitral Valve Regurgitation”, 2016). Due to the Doppler effect, the frequency returned to the transducer changes based on the velocity of the blood. The recorded frequency is then sent up to the top part of the patch, the machine. A processor coded with MATLAB uses the frequency to calculate the blood velocity throughout a contraction and can therefore log the time between the velocities 1 m/s and 3 m/s, thus completing the dp/dt max calculation. The machine accesses the particular patient’s normal dp/dt max range (generally 1000-1200 mmHg/sec) stored in a memory chip. During a heart attack, blood velocity changes at a slower rate in the mitral regurgitation jet due to less contractile force, thus increasing the change in time, and decreasing the dp/dt max evaluation. Therefore, if the dp/dt max reading is 100 mmHg/sec or more below the low in the normal range, then the patient is at danger. In this case, the machine connects to a wristband via Bluetooth, which then vibrates vigorously to alert the user and autonomously sends a report of the patient’s location to paramedics.

This lengthy process is actually compressed into a five-minute window, meaning that the patch provides more speed, accuracy, awareness and portability than current electrocardiograms for only a small price increase.


There was neither time nor resources to develop a functional prototype, but a couple models were made to represent the appearance of the Ekko Patch. The first prototype is a plastic 4x3x1 dome intended to display the internal components of the patch. At the top, a CPU chip, memory chip, bluetooth chip, and battery pack are placed side by side to represent the theoretical “machine”. At the bottom, the transducer is modeled with film with piezoelectric sensors glued on to it.

The second prototype is constructed from a silicone mold and focuses more on the external design of the proposed concept. This patch has the exact same dimensions as the

plastic prototype, but is made from a much softer, flexible material which feels more natural on bare skin to ensure maximum comfort. The final product would ideally have the internal components of the first prototype encased in the external design and style of the second.

The wristband is represented by an improvised Pivotal Tracker device, a $15 fitness tracker similar to the Fitbit. In the final apparatus, the Pivotal Tracker’s features would be replaced with far more simplistic ones. It would need to have a Bluetooth chip to communicate with the patch, vibrational motors to alert the user if the received dp/dt is below a certain value, and geopositioning technology to send a beacon of the patient’s location to medical authorities if needed. The patch and the wristwatch would work with each other to complete their respective steps in the detection process.


A survey of 32 adult and teenagers was conducted to assess if the Ekko Patch is well-suited to consumers. On a scale from 1-5, the overall feeling towards the product concept was on average a 4.03. Similarly, the size and material aspects of the patch received 3.52 and 4.13 respectively. The survey indicated that the product could hypothetically do well in the market, as the sample gave a score of 4.58 as to how likely they would be to buy the product if they were at high risk of a heart attack.


The Ekko Patch is still a work in progress, but the survey results in Table 2 prove that the public finds its concept promising. Looking to the future, it is quite feasible to turn the this concept into a reality. The first step would be to gain access to the resources needed to make a functional, if rudimentary, prototype. From there, clinical trials would be conducted to determine the prototype’s performance and its design would subsequently be updated to fix any problems that arise. Along with perfecting the performance-based aspects, developers would

ideally research methods to compress the internal circuitry into a smaller and more stylish patch, as that was one area of improvement from the survey. This process would be repeated through as many iterations as needed to create a product ready for the market.

If implemented correctly, the Ekko Patch would be the superior solution in heart attack detection. It provides more speed, accuracy, and awareness than any other product in the market. Even if only a fraction of the 287,000 people who die of heart attacks outside the hospital every year were to purchase the Ekko Patch, thousands of lives would be saved (“Heart Disease

Facts”, 2015). Furthermore, as the first product of its kind to harness continuous wave Doppler ultrasound technology, the Ekko Patch would, in the long-term, inspire innovation in a field that has been largely overlooked. This would mean more options in the market for heart attack patients and make it possible to save more lives than ever before. Heart disease has been the leading cause of death in the United States for too long. It is time to knock it off its pedestal.


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Ultrasound for Autonomous Heart Attacks

Every year, half of the 610,000 heart attack deaths in the United States are due to a lack of prompt medical attention. Currently, most technologies fail to fix the problem, as they simply take too long to be able to detect a heart attack in time.

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