Pill dispenser with alarm via smart phone notification

Othman, Norzila; Ek, Ong Pek

doi:10.1109/gcce.2016.7800399

Cited by 36 publications

(11 citation statements)

References 3 publications

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“…Content may change prior to final publication. Citation information: DOI 10.1109/ACCESS.2020.3035812, IEEE Access 6 dispensers [41], intelligent pillboxes [42] and wound assessment systems [43]. Leier et al developed a human activity recognition and fall detection algorithm, which can be used to increase the safety of people in challenging working conditions.…”

Section: Inference System and Iot/lpwan Networkmentioning

confidence: 99%

No Soldiers Left Behind: An IoT-Based Low-Power Military Mobile Health System Design

et al. 2020

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There has been an increasing prevalence of ad-hoc networks for various purposes and applications. These include Low Power Wide Area Networks (LPWAN) and Wireless Body Area Networks (WBAN) which have emerging applications in health monitoring as well as user location tracking in emergency settings. Further applications can include real-time actuation of IoT equipment, and activation of emergency alarms through the inference of a user's situation using sensors and personal devices through a LPWAN. This has potential benefits for military networks and applications regarding the health of soldiers and field personnel during a mission. Due to the wireless nature of ad-hoc network devices, it is crucial to conserve battery power for sensors and equipment which transmit data to a central server. An inference system can be applied to devices to reduce data size for transfer and subsequently reduce battery consumption, however this could result in compromising accuracy. This paper presents a framework for secure automated messaging and data fusion as a solution to address the challenges of requiring data size reduction whilst maintaining a satisfactory accuracy rate. A Multilayer Inference System (MIS) was used to conserve the battery power of devices such as wearables and sensor devices. The results for this system showed a data reduction of 97.9% whilst maintaining satisfactory accuracy against existing single layer inference methods. Authentication accuracy can be further enhanced with additional biometrics and health data information.

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Section: Inference System and Iot/lpwan Networkmentioning

confidence: 99%

No Soldiers Left Behind: An IoT-Based Low-Power Military Mobile Health System Design

et al. 2020

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“…B. Pill Dispenser with Alarm Via Smart Phone Notification [5], is a pill dispenser that uses an Arduino Microcontroller connected to an RTC module to provide the time and date, servo motors that open the gate of one of the three box containers, a vibration motor that forces the pills out of the container, IR sensors that detects the number of pills that has fallen which will make the operation stop whenever the desired number of pills is met. An LCD with several buttons is the main interface of the dispenser.…”

Section: Related Workmentioning

confidence: 99%

A Comprehensive Approach for A Smart Medication Dispense

al.¹

2019

IJCDS

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This paper presents a comprehensive approach for a Smart Medicine Dispenser (SMD) prototype. The main purpose of the proposed system is to help patients, mainly seniors and elderly people, take their medications on time in an easy manner without the possibility of skipping pills and thus reducing the risk of accidental over/under dose treatment. Failing to take medications promptly can have serious consequences on patients including delay in recovery, occurrence of other illness and even death. The SMD could then help avoiding such serious health issues by alerting patients to take the appropriate dose of medicine at the right time. In addition, it provides a direct communication channel between patients and caregivers by immediately notifying them in case the patients miss their pills. This system will also be of great benefit to doctors, healthcare professionals, insurance and pharmaceutical companies, as it will log medication data and statistics that can be analyzed later. Moreover, the SMD provides patients and caregivers with a user-friendly touch interface available as an application on their smartphones which allow them to remotely manage and control the pill schedules and review medication adherence logs.

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“…A meta-analysis of randomized controlled trials (RCTs) is conducted in Tao et al (2015) that evaluate the effectiveness of electronic reminders regarding a patient’s adherence to medication for chronic disease care. Othman and Ek (2016) proposed to use pop up notifications on smart phones for alarming at the right medication time. The MIT House_n project (Kaushik et al , 2008) highlighted the importance of adaptive reminders and implemented a context-aware reminder.…”

Section: Related Workmentioning

confidence: 99%

SmartMedicist: a context-aware system for recommending an alternative medicine

Swain

Niyogi

2018

IJPCC

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Purpose This study aims to discuss a context-aware system, SmartMedicist, which can recommend an alternative medicine from a set of available medicines present at a patient’s home for an unavailable medicine. The system is applied to the chronic disease patients only. The system requires only a smartphone, and provides a reminder to the patient to take medicine at appropriate times and to procure medicines from drug store. The system discusses the output method for the physically challenged patient. Although there are existing systems that can remind a patient for taking medicines, the authors are not aware of any such system that has the capability to recommend an alternative medicine for the prescribed medicine. Design/methodology/approach The study developed a pharmacology knowledge base that consists of a representation of a set of diseases, according to family, type and medicines, in a k-ary tree. An alternative medicine is recommended based on the set of available medicines and knowledge base. Findings We considered four diseases: Hypertension, Gastritis, Alzheimer’s disease, and Parkinson; and performed several experiments for each disease for the different number of available medicines. The execution time to find an alternative medicine (if any) in each case is around four seconds. Originality/value The proposed system is cost effective and affordable for most families in India. Although the proposed system is not a substitute of a doctor, this system will enhance the safety golden period for a patient to consult a doctor in the emergency exhaustion of the prescribed medicines.

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Pill dispenser with alarm via smart phone notification

Cited by 36 publications

References 3 publications

No Soldiers Left Behind: An IoT-Based Low-Power Military Mobile Health System Design

No Soldiers Left Behind: An IoT-Based Low-Power Military Mobile Health System Design

A Comprehensive Approach for A Smart Medication Dispense

SmartMedicist: a context-aware system for recommending an alternative medicine

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