Medical Pill Box Remainder For Alzheimer Patients

DOI : 10.17577/IJERTCONV11IS03058

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Medical Pill Box Remainder For Alzheimer Patients


AVS Engineering College,

AVS Engineering College,

AVS Engineering College,

AVS Engineering College,

AVS Engineering College,

Salem, Tamilnadu, India

Salem, Tamilnadu, India

Salem, Tamilnadu, India

Salem ,Tamilnadu, India

Salem, Tamilnadu, India




Abstract A complicated daily routine of drugs is necessary for many people who have physical limitations and memory/cognitive problems. This research seeks to make it easier for elderly or disabled individuals to take their medications effectively and on time. Additionally, this device will monitor the patient's bodily movement and health data. The smart pillbox that this research suggests has a consumption and remind feature. This is used to remind the user to take medication at a specific time, and the medication the user needs to take at that time is sent to them so there is no confusion about which medications they should be taking at what time. The burden of ensuring that elderly family members take their medications correctly and on time can be reduced by using a smart pill box. The primary goal is to monitor the patient, transfer information to the cloud automatically, and send out a message informing of any abnormal conditions. to automate a prescribed medication box to their specified time

Keywordssmart pill box, cloud, monitoring device


Research published an increasing body of anecdotal evidence from Adult Social Care teams in the region suggested that complex medication regimes with multiple dosages throughout the day posed particular challenges for older people with memory loss or cognitive

impairment and people with mental health problems and learning difficulties. The statistics provide a picture of the extent of the medication market:

  • 927 million prescription items dispensed per annum.

  • English average 17.8 prescription items per head of population.

  • Older people receive an average in excess of

    42.4 items

  • Net ingredient cost of £8,834 million.The use of prescribed medication is, however, extremely variable there have been several studies of peoples behavior and how closely they adhere to prescribed medication regimes:

  • Some studies reported different ranges of adherence for adult patients (4060%) and children (2575%)

  • Only 50% of people take their medicines adequately.

  • About 42 million patients on prescription medications. 1 in 6 fully adhere, o 1 in 3 adhere satisfactorily, o 1 in 6 adhere poorly. The cost to the government in untaken medicines has been estimated at around £100 million per year, although this is regarded as a conservative estimate.



This is an Android-based application in which an autom

It focuses on doctor and patient interaction. Patients need not remember their medicine dosage timings as they can set an alarm on their dosage timings. The alarm can be set for multiple medicines and timings including date, time and medicine description. A notification will be sent to them through email or message inside the system preferably chosen by the patients. They can search doctor disease wise. The patients will get the contact details of doctors as per their availability. Also the users can see different articles related to medical fields and health care tips. The system focuses on easy navigation and good user interface. Drawback Android and iPhone and for a lite version on iPhone, is less rated by the users because of the problem about the flaws in the reminder system and a service that

backs up user data.


A modern health care and in addition to this intelligenthome monitoring, controlling embedded system capable of taking care of the patients from all aspects, covering personalized medication, vital signs monitoring. The project gives an experimental idea of patients health condition and monitor environmental conditions and controlling. The platform involves an open-platform-based intelligent medicine box with enhanced connectivity and interchange ability for the integration of devices and services, Intelligent pharmaceutical packing with communication capability enabled by Zigbee and actuation capability enabled by functional materials and, flexible and wearable bio-medical sensor device enabled. The proposed platform devices with in-home healthcare services for

improved user experience and service efficiency.

The feasibility of the implemented Health

platform has been proven in field trials and if any vital signs recognized then gives alert to

predefine care takers through SMS alert and monitor the conditions continuously with an IP address of WIFI.


    We found several different pillbox products available in the market. The cheapest one was the traditional pillbox, which contained seven boxes for seven different days of a week. However, user had to load the pills to the boxes every week. Mixing different pills in the same box would increase the risk of mistakes. Then in patient monitoring condition an external person or any relation must be in the patients room for continuous monitoring, if it fails a severe damage will occur in patients health.


In order to reduce the responsibility of family members of dividing the medications in the pill box, we assume that the medicine the patients need to take at particular times has been packed into the pill box. In this system we have to set the pill time for required medicine by using input system. We can set the different time for different pills. If the more than one pill is required at a time, give the box nos. to the system to get required pills. We also set the no.of pills we are inserting in the system. The real-time clock gives continuous time as an output. Monitor the time continuously using a Real- time clock to identify the pill time. If the system time matches with pill time, the system shows that that it is time to take a pill.



The intelligent medicine box and health monitoring and management system can effectively solve the error or negligence in the field of medications. The report presented an interactive embedded measurement of daily activities through usage of sensor data. Predicting the behavior of an elderly person was based on past sensor activity durations. Combination of sensing system with time series data processing and enabled us to measure how well an elderly person is able to perform their daily activities in real-time. So far, the forecasting process was able to rightly measure the wellness indices related to use. Hence, some of the basic elderly daily activities such as sleeping, toileting, dining and relaxing are rightly assessed care takers and hospitals by the wellness measurement system. A single system can be useful for more than one patient. Multiple users can access the system by using their own card. For that the medicine bo need to contain more number of sections and each section is utilized by particular user.


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