University Business Report: Innovation for Epilepsy Device Development

This report provides a comprehensive analysis of an innovative epilepsy device designed to predict seizure attacks for individuals suffering from epilepsy. It begins by defining the problem, emphasizing the significant impact of epilepsy on millions of people and the potential dangers associated with s...Read More

INNOVATION AND SUSTAINABLE
BUSINESS DEVELOPMENT
Name of the Student
Name of the University

Part 1: Problem
Background of the problem:
 Epilepsy is becoming a matter of concern
as currently more than 50 million of
people are suffering from the disease.
 People are suffering from the seizure
attacks which are exposing them in front
of various types of harms.

Part 1: Problem
Definition of the problem
 Under normal circumstances human brain
continuously sends signals and
individuals who suffer from epilepsy, their
brains experience an extra burst of
electricity while sending signals and that
causes an electric storm that manifests in
seizures.

Part 1: Problem
Evidence of the problem:
 These attacks can potentially get them
into trouble if they are not at home or
under odd circumstances and it may lead
to loose their lives.
 Mark Cook, an Australian researcher is
trying to device a machine that can
effectively forecast the time of the
seizure attacks for the patients who
suffer from epilepsy

Part 1: Problem
Timing considerations
 The business organizations should come
forward to find out innovative ideas in
this context.
Consideration of the broader context
 It can effectively help the people who are
suffering from epilepsy by forecasting the
expected time for their seizure attacks

Part 2: Benefits
Benefits to be delivered:
 Forecasting time of seizure attacks for
the epilepsy patients
 Providing the devise at a cheap price
 Bringing innovation in the medical world
Importance of benefits to the government
 Increase security and safety for a large
population

Part 2: Benefits
Evidence of benefit delivery
 Major benefits to the large population of
the country
 Major breakthrough and remarkable
changes in the medical world.
Interdependence:
 Enormous positive feedback from the
government
 Manufacturer of the device

Part 3: Strategic Response
Method and criteria:
 Gathering relevant ideas and information from
different parts of the globe
 Improving quality and accuracy of the product
Strategic options analysis:
 The manufacturer companies should focus on the
quality of the product
 The manufacturer company will have to make sure
that the readings of the devise are accurate
 The production costs should be on the lower end so
that a large section of the patients can afford this
medical devise.

Part 3: Strategic Response
Recommended strategic options:
 Mark Cook can approach federal
government of Australia for assistance in
the preliminary stages
 The manufacturer companies should
focus on reducing the costs by utilizing
eco-friendly materials that can be reused
for making more devices.

Part 4: Project options analysis
Project options considered
 Mark Cook should always look for the areas of
improvements in the device he is devising
 Mark Cook should focus on reducing the
production costs
 The manufacturer companies should
emphasize on making the devices accurate
and of higher quality
 The manufacturer companies should deploy a
highly skilled labor force to manufacture this
type of devices

Part 4: Project options analysis
Stakeholders:
 Mark Cook
 Australian Government
 Manufacturers of the product
 Patients suffering from epilepsy
Social impacts:
 It will benefit the large population who
are suffering from epilepsy disease.

Part 4: Project options analysis
Environmental impacts:
 This project and manufacturing this device will not
affect the balance of the environment
 The manufacturer companies will always use latest
eco friendly technologies while manufacturing this
machine
Economic impacts:
 This machine will benefit a lot of people and help the
labor force as the people who suffer from epilepsy
cannot continue their regular professional life fearing
the seizure attacks
 The manufacturing process will effectively create job
opportunities

Part 4: Project options analysis
Risk comparison
Financial risk
 The manufacturer companies should
make an effective plan
Entrance of more competitors
 Continuous process of innovation should
be maintained

Part 5: Deliverability of recommended solution
Commercial and financial:
 The managements of the manufacturer
companies should focus on the
experience of the customers to improve
the quality of the machines
 The managements of the manufacturer
companies should focus on reducing the
production costs

Part 5: Deliverability of
recommended solution
Management:
 The board of directors of the manufacturer
organizations should supervise of the operational areas
to ensure the quality of the products
 The customers or the epilepsy patients should be
informed regarding the operations and functions of the
device by providing a brochure.
Delivery:
 There will be performance measurement tools for
ensuring the quality of the machines
 The manufacturer companies should abide by the rules
and regulations set by the federal government of
Australia

Reference List
 Alickovic, E., Kevric, J., & Subasi, A. (2018). Performance
evaluation of empirical mode decomposition, discrete wavelet
transform, and wavelet packed decomposition for automated
epileptic seizure detection and prediction. Biomedical Signal
Processing and Control, 39, 94-102.
 Andrzejak, R. G., Rummel, C., Mormann, F., & Schindler, K.
(2016). All together now: Analogies between chimera state
collapses and epileptic seizures. Scientific reports, 6, 23000.
 Bandarabadi, M., Teixeira, C. A., Rasekhi, J., & Dourado, A.
(2015). Epileptic seizure prediction using relative spectral power
features. Clinical Neurophysiology, 126(2), 237-248.
 Brinkmann, B. H., Wagenaar, J., Abbot, D., Adkins, P., Bosshard,
S. C., Chen, M., ... & Pardo, J. (2016). Crowdsourcing reproducible
seizure forecasting in human and canine epilepsy. Brain, 139(6),
1713-1722.
 Fujiwara, K., Miyajima, M., Yamakawa, T., Abe, E., Suzuki, Y.,
Sawada, Y., ... & Sasano, T. (2016). Epileptic seizure prediction
based on multivariate statistical process control of heart rate

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