[ THE BEAT GLOVE ]
With the ideation process, I ended up with [Gloves] for clothing, [Anxious] for emotion, and [Call] for action/verb. With a safety latex glove that I own (often used for woodworking), the ideation process lead to making a simple everyday medical glove that detects heart attacks.
The objective is simple : Detect possible cardiovascular disease by monitoring health conditions. The “Beat Glove” is worn on hands of patients with chronic heart disease, or just anyone who is interested in monitoring one’s cardiovascular state.
Once worn on one’s hand, the “Beat Glove” tracks the user’s heart rate. The central module in the middle of the glove shows one’s heart rate in beats per minute graph on the LCD screen.
The glove is most useful in winter, when the cold weather can, for instance, cause unexpected acute myocardial infraction of heart muscle and blood vessels. The central module comes with a temperature sensor, displaying the current weather around the user’s location. Based on the BPM readings, the processing chip (replaceable in the micro SD card slot) will determine if the user is experiencing a cardiovascular failure, or a heart attack.
The stability of one’s medical condition is visualized with green, yellow or red LED lights at the bottom of the screen. The central module also contains GPS for navigation services that finds closest doctors or clinics in case a medical attention is required. If the yellow colored LED lights are blinking, vibration motors at the end of each finger tips on the gloves will activate, thereby notifying the user to seek medical attention immediately. If the color turns red, 911 is automatically called – with USIM card network service – and an ambulance will come to the location of the patient, thanks to the built-in GPS.
All the necessary sensors can be integrated into the glove, by disassembling any smart watch that provide built-in medical technology services.
In conclusion, this wearable device will serve two purpose: The first is to prevent possible cardiovascular failure by monitoring heart conditions. The second is to work as a communication device that will notify emergency medical services when the user experiences a heart attack. The central module with an LCD screen will get inputs from the body by reading the heart rate. It will generate five outputs: vibration at fingertips, bpm graph, 911 emergency connection, gps navigation guide to nearest clinics, and GYR (Green Yellow Red) heart status LED lights. Two output factors that are not from our body inputs are battery percentage and temperature indication on LCD screen.
With all high hopes, [ THE BEAT GLOVE ] will allow anyone to stay connected to medical services, feel safe and secure. For researchers and medical scientists, it will provide great source pool of information about their patients’ heart conditions and generate predictable patterns to prevent further heart attacks. For patients and everyday users, it will guarantee first line of medical response in an emergency.
After having made the prototype, I realized that I have missed the most simple yet important function in the design – a speaker and a microphone. Those two modules are required for 911 calls, in case the patient is still conscious during a heart attack. The overall design also does not consider size differences for adults and children. Perhaps it could be more customer-friendly to design the central module with a flexible touchscreen (although that will make the product more technically challenging and thus more expensive).
IDEATION AND DESIGN
- MATERIAL MOODBOARD
- PAPER PROTOTYPE
(reference in APA style):
Saner, H., Knobel, S., Schuetz, N., & Nef, T. (2020, November 27). Contact-free sensor signals as a new digital biomarker for cardiovascular disease: Chances and challenges. Retrieved January 19, 2021, from https://academic.oup.com/ehjdh/article/1/1/30/6007530
Carfagno, J. (2019, June 25). Researchers Use AI and Wearable Sensor to Detect Heart Disease. Retrieved January 19, 2021, from https://www.docwirenews.com/docwire-pick/future-of-medicine-picks/researchers-use-ai-and-wrist-worn-sensor-to-detect-heart-disease/