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Digitized Vitals Congregating Handgloves

Abstract: The aim of this product is to monitor the vitals of a pregnant women and foetus residing in rural areas using a digitized Hand glove. Employing the sensors in Hand gloves, helps us to read the temperature, respiratory pressure and heartbeat, ECG and these readings are continuously visible on serial monitor and all these vitals could be stored in a database. If there exists abnormal/irregular changes in these vitals, then the information (Vitals, Location of the patient) would be automatically sent to the nearby Primary Health centers either through a mail/phone call. Moreover all the vitals that were collected would be stored in the cloud server, which facilitates the doctors/nurses in continuous monitoring and support. This product serves well during the pandemic situations, where there is no/ limited transportation facilities. Compared to normal human, pregnant women suffer a lot due to lack of transportation, but health checkups are mandatory for them. Therefore the product helps them a lot by sitting in their home, and just wearing the glove can automatically record the values and send to the cloud database, which then could be viewed by doctors and provide advices/prescriptions based on their vital values. Travelling can be completely avoided by pregnant women, thereby ensuring their safety too. The product helps Village Health Nurses (VHNs) to visit any village and collect vitals immediately, using a single Digitized Hand glove, instead of carrying separate devices for every vital. CONCLUSION: The Digitized Hand Glove is used as a compact and wearable device. This system collects and stores the data which was retrieved unceasingly and monitored from the database. This is made possible with the help of various sensors. The work tried at successfully utilizing the !oT platform which could support us to find the temperature, pressure, ECG, heartbeat and respiratory measures and which can be stored to cloud with respect to time, date and location. REFERENCES [I] Aleksandra C. Zoric, SinisaS.llic, "PC Based Electrocardiography &Data Acquisition", TELSIKS, IEEE, pp 619-622, September 28- 30 2005. [2] Tia Gao, Dan Greenspan, Matt Welsh, Radford R. Juang, and Alex Aim, "Real Time Patient Monitoring System Using Lab view", International Journal of Scientific & Engineering Research, April-2012. [3] Sherin Sebastian, Neethu Rachel Jacob, "Remote Patient Monitoring System Using Android Technology", IJDPS, September 2012. PremaSundaram, International Journal of Computer Science and Mobile Computing Vol.2 Issue. 5. May- 2013, pg. 191-201 © 2013, IJCSMC All Rights Reserved 201. [4] C. Wen, M. Yen, K. Chang and R. Lee , "Realtime ECG telemonitoring system design with mobile phone platform", Measurement, Volume 41, Issue 4, May 2008, Pages 463-470. [5] Wilkoff BL, Auricchio A, Brugada J, Cowie M, Ellenbogen KA, Gillis AM et al. "HRS/EHRA Expert Consensus on the Monitoring of Cardiovascular Implantable Electronic Devices (CIEDs): Description of Techniques, Indications, Personnel, Frequency Ethical Considerations", Euro pace 2008;10:707-25. [6] Varma N, Epstein A, Schweikert R, Love C, Shah JA, Irimpen " Evaluation of efficacy and safety of remote monitoring for ICD follow-up" the TRUST»trial, Circulation 2008, Vol. 118, No. 22, 2316, Abstract 4078. [7] Kiely DK, "Resident characteristics associated with wandering in nursing home", Int J Geriatric Psychiatry. 2000; 15(11): 1013-1020. [8] K. Lorincz et al., "Sensor Networks for Emergency Response: Challenges and Opportunities," IEEE Pervasive Computing, IEEE,Press, pp. 16-23, OctoberDecember 2004. [9] J. Hill et al., "System Architecture Directions for Networked Sensors," in Proc. 9th Int'l Conf. Architectural Support for Programming Languages and Operating Systems (ASPLOS 2000)", ACM Press, pp.93-104, 2000. [10] K. Lorincz and M. Welsh, A Robust, "Decentralized Approach to RF Based Location Tracking, tech. report TR-19-04, Division of Eng. And Applied Sciences " , Harvard Univ., Cambridge, MA, 2004. [II] Batz, D., Batz, M., Lobo, N.D.V. and Shah, M. "A computer vision system for monitoring medication intake", Canadian Conf. on Computer and Robot Vision, May, pp. 362-369.2005. [12] Zao, J.K., Wang, M.Y., Peihsuan, T. and Liu, J.W.S., "Smart Phone Based Medicine Intake Scheduler, Reminder and Monitor", IEEE e-Health Networking Applications and Services (Healthcom), pp 162 - 168., 2010. [13] Media Aminian, Hamid Reza Naji, "A Hospital Healthcare Monitoring System Using Wireless Sensor Networks", Department of Computer Science and Research branch Islamic Azad University Kerman Iran and College of Electrical and Computer Engineering Kerman Graduate University of Technology Iran, vol. 4, 2013. [14] B.K Bhoomika, K N Muralidhara, "Secured Smart Healthcare Monitoring System Based on lot", International Journal on Recent and Innovation Trends in Computing and Communication, vol. 3, no. 7, pp. 4958-4961, July 2015. [15] L. Wang, G.-Z. Yang, J. Huang, J. Zhang, L. Yu, Z. Nie et al., "A wireless biomedical signal interface system-on-chip for body sensor networks", IEEE Trans. Biomed. Circuits Syst., vol. 4, no. 2, pp. 112-117, Apr. 2010. [16] S Anbumani, R2 Kavin, A3 Saranya, T4 Dineshkumar, R5 Premkumar, "An Intelligent Patient Tele-Monitoring System Using Android Technology", Internationai Journal of Research in Engineering and Technology, vol. 4, no. 02, pp. 477-482, Feb 2015. [17] LeBellego G, Noury N, Virone G, Mousseau M, Demongeot J (2006) A model for the measurement of patient activity in a hospital suite. IEEE Transactions on information technology in biomedicine. [18] Lee C, Kim T, Hyun SJ (2016) A data acquisition architecture for healthcare services in mobile sensor networks. In: 2016 International conference on big data and smart computing (BigComp). IEEE, pp 439-442. [19] Lin CT, Ko LW, Chang MH, Duann JR, Chen JY, Su TP, Jung TP (2010) Review of wireless and wearable electroencephalogram systems and brain-computer interfaces-a mini-review. Gerontology 56(1): 112-9. [20] Pham M, Mengistu Y, Do HM, Sheng W (2016) Cloud-Based Smart Home Environment (CoSHE) for home healthcare. 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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
09 March 2020
Publication Number
37/2021
Publication Type
INA
Invention Field
FOOD
Status
Email
Parent Application

Applicants

P. Asha
Sathyabama Institute of Science and Technology, Deemed to be University, Chennai-119

Inventors

1. Dr.P.Asha
Sathyabama Institute of Science and Technology, Deemed to be University, Chennai, Tamil Nadu, India-600119
2. Dr.B.Bharathi
Sathyabama Institute of Science and Technology, Deemed to be University, Chennai, Tamil Nadu, India-600119
3. Ms.B.Ankayarkanni
Sathyabama Institute of Science and Technology, Deemed to be University, Chennai, Tamil Nadu, India-600119
4. Dr.S.Vigncshwari
Sathyabama Institute of Science and Technology, Deemed to be University, Chennai, Tamil Nadu, India-600119
5. Dr.L.Lakshmanan
Sathyabama Institute of Science and Technology, Deemed to be University, Chennai, Tamil Nadu, India-600119
6. Mrs.S.L.Jany Shabhu
Sathyabama Institute of Science and Technology, Deemed to be University, Chennai, Tamil Nadu, India-600119
7. Mr. Kurakula Omesh Reddy
Sathyabama Institute of Science and Technology, Deemed to be University, Chennai, Tamil Nadu, India-600119
8. Mr.Lagisetty Venkata Manikanta
Sathyabama Institute of Science and Technology, Deemed to be University, Chennai, Tamil Nadu, India-600119

Specification

FIELD OF THE INVENTION
The aim of this product is to monitor the vitals of a pregnant women and foetus residing in rural areas using a digitized Hand glove. Employing the sensors in Hand gloves, helps us to read the temperature, respiratory pressure and heartbeat, ECG and these readings are continuously visible on serial monitor and all these vitals could be stored in a database. If there exists abnormal/irregular changes in these vitals, then the information (Vitals, Location of the patient) would be automatically sent to the nearby Primary Health centers either through a mail/phone call. Moreover all the vitals that were collected would be stored in the cloud server, which facilitates the doctors/nurses in continuous monitoring and support. This product serves well during the pandemic situations, where there is no/ limited transportation facilities. Compared to normal human, pregnant women suffer a lot due to lack of transportation, but health checkups are mandatory for them. Therefore the product helps them a lot by sitting in their home, and just wearing the glove can automatically record the values and send to the cloud database, which then could be viewed by doctors and provide advices/prescriptions based on their vital values. Travelling can be completely avoided by pregnant women, thereby ensuring their safety too. The product helps Village Health Nurses (VHNs) to visit any village and collect vitals immediately, using a single Digitized Hand glove, instead of carrying separate devices for every vital.
SCOPE
The product monitors the heartbeat, pressure, ECG and temperature of the mother and foetus. This helps pregnant women to step out of danger even if they are uneducated/ unaware of pregnancy issues. Zigbee is employed for this work, and for further enhancement, higher version of connectivity could be utilized. This work is open to developments from all sides. As it deals with life science, the product would be of much help to the society. It could also be used by the Village Health Nurses (VHN) to monitor the vitals of any human. The Product as a single device, serves the best for the village people as well the VHNs as, the VHNs need not carry all other apparatus for monitoring vitals. Every vital can be immediately observed. There is no necessity to give separate medical test as well as wait for the lab results.
PRIOR ART
Android Java-DSP was employed as a mobile application which integrates with sensors thereby enabling simulation. This assists in better signal Processing and clear visualizations. Their system attempts at creating an interface between external sensors and the on-board device sensors that supports in monitoring the physiological attributes of a human. It explores the trend set of mobile sensing and tailored it towards enlightening digital signal processing (DSP), by establishing interfaces to medical sensor with other external sensors. They employ Shimmer, which seems to be a tiny wireless low power sensor which records and dispatch physiological (ECG, other health parameters) and kinematic data in real-time [1]. The pitfalls of their system is

that it investigating and observing only the patient who were admitted in the hospital. The sensors utilized are of very low power.
The work by Tia etal., concentrates on certain facts, like Stroke and heart attack, since they seem to be the major factor or cause of hospitalization for the elderly people. There prevails higher possibilities of the survival rate, in case the senior people procure proper attention and treatment within an hour(less time) [2]. The smart phone fitted with accelerometer could assist in observing/detecting the degradation of the carrier, which as a whole can be called as a Health care device/system. The android phone could be allied with the monitoring system by imposing the TCP/IP protocol via Wi-Fi. Due to the development of this system, the elderly and chronically ill patients could reside independently in their own residence and be secured ased on the thought process that they are under complete monitoring [3]. The trouble associated with this system is that it merely deliberates over elder people as there are more chances of sudden health outbreak like Stroke/Heart attack.
Wen etal. Concentrated on a system that embodies the design and accomplishment of wearable ECG with their values sent on to their smart phone thereby facilitating the live monitoring of the health information. Their system mastered at inculcating the ECG sensors to the shirt, which could be utilized by all age groups [4]. The ECG recordings were accumulated and analyzed. Based on the values, they tried to analyze and suggest medications/Prescriptions for their patients. This is a complete real time monitoring system. These systems aimed at providing protective measures for elderly people as many live alone in their residences. The proposed model substantially monitors the senior people and make them comfortable and are provided immediate attention and advises, when required. It could be employed for the self-diagnosis purpose [5 -7]. So, they strongly believe that their system could nurse and diagnose patient's heart conditions/abnormalities in real time, if they could wear a sports-shirt embedded with an ECG sensor on it.
An image based system [8] was introduced, which acquires the ECG signal via digital camera; this information is performed on the tool like MATLAB and data sending through the internet network and stored in database. Then the original image is made sufficed to the doctor with the help of the Android mobile. The purpose of this system is that the vital parameters from the ICU monitoring system are made available to the doctor who may not be in the hospital/ country. In case of any abnormality, the doctor is signaled by pushing a notification from C2DM server into his mobile [9]. The drawback is that, because of various internet issues, the data might not be delivered to the doctor who would be remotely located. The image is captured through the camera, which must be HD and that is really costly.
There exists continuous observation of the patient's physiological parameters such as blood pressure of patient as well as heart rate [10-12]. This system is primarily helpful for pregnant women in monitoring and retrieving the vitals like blood pressure and heart beat. This system monitors more than one patient at a time and can easily sense the blood pressure (BP) and heart rate of the patients. In this system, there is a sensor node attached to body of patient to measure signals from wireless sensors and sends these signal to the database [13]. This system can trace out the abnormalities of the patient thereby raising an alarm to the patient as

well as send a message to the doctor for further treatment. The main advantage of this system is to enhance the patient's quality of life.
Smart Phone Conundrum [14] promotes wireless healthcare by sensor communication, data processing, data visualization etc. using different mobile platforms. There is central controller for wireless health application. They developed libraries for particular mobile devices to implement the health care on different platforms. CDMA and UTMS have more network then Bluetooth and Wi-Fi, and all this cellular connectivity is supported by mobile platforms [15-17]. It starts by assessing the best smart phone platform for the health care, after which it determines the runtime environment to the smart phone platform and finally developed a wireless health application for that particular platform. They provide different and better debugging environment for different platforms. The drawback of the work is that they do not represent the complete wireless heath software library [18-20].
DESCRIPTION
Pregnant women in rural areas cannot receive immediate healthcare in serious conditions. Women over there would be uneducated, hence might be unaware of pregnancy issues. Moreover, in rural areas, fast transportation will not be available, therefore they could not report to hospital immediately and sometimes they themselves do not know the internal changes happening in them as well as the foetus. So some form of mandatory medical assistance has to be provided whenever required. This lead to the development of a Digitized Hand glove that would continuously collect vitals and stores in a cloud database. And if there are irregular variations in their vitals, then the information regarding the vitals of mother and fetus along with their current location are sent to the nearest Primary Health Centers/Doctors/108 depending the seriousness. This could help them getting immediate attention.
Digital hand cloves monitors her health condition every second and the received data gets stored in the Cloud database which we have created and controlled privately that no one can view her data except the Primary Health Centre to which she is connected to. Sensors are connected to the Hand gloves which in turn is connected to the network which helps the PHC to monitor and analyze the pregnant ladies health, these sensors are used to measure and give accurate values and graphs depending on the periodic changes. Based on that the patient's health condition can be studied even by the family members so that they can decide to take the pregnant lady to hospital or not.
Therefore to facilitate this, we have designed a digitized wearable Hand glove that will continuously monitor the mandatory parameters of a patient and stores every data. If any dangerous condition arises for a patient, then a G-mail alert is sent to the specific person who has been connected with the device online. Any serious changes in the vitals would be reported to PHCs/Personal doctors along with their GPS location, so that immediate action could be taken to save the life of the mother and the foetus.

CLAIMS
Claim 1:1 claim
1. That the vitals aggregating hand gloves has been designed and
developed by us, collects vitals like ECG, temperature, pressure,
respiratory values and sends to the cloud server, which could
be monitored by the doctors/nurses. Based on live updates,
suggestions could be given.
Claim 2:1 claim
2. Complete vitals are captured remotely and sent to cloud server
along with the patient's location.
Claim 3:1 claim
3. The system supports live monitoring and produce alarms and
send the abnormal information to doctor's mail/mobile.
Supports during pandemic situations.

Documents

Application Documents

# Name Date
1 202041010119-Form5_As Filed_09-03-2020.pdf 2020-03-09
2 202041010119-Form2 Title Page_Provisional_09-03-2020.pdf 2020-03-09
3 202041010119-Form1_As Filed_09-03-2020.pdf 2020-03-09
4 202041010119-Form3_Complete After Provisional_05-03-2021.pdf 2021-03-05
5 202041010119-Form2 Title Page_Complete After Provisional_05-03-2021.pdf 2021-03-05
6 202041010119-Drawing_Complete After Provisional_05-03-2021.pdf 2021-03-05
7 202041010119-Description_Complete_Complete After Provisional_05-03-2021.pdf 2021-03-05
8 202041010119-Claims_Complete After Provisional_05-03-2021.pdf 2021-03-05
9 202041010119-Abstract_Complete After Provisional_05-03-2021.pdf 2021-03-05