MyWear: A Smart Wear for Continuous Body Vital Monitoring and Emergency Alert

Smart healthcare which is built as healthcare Cyber-Physical System (H-CPS) from Internet-of-Medical-Things (IoMT) is becoming more important than before. Medical devices and their connectivity through Internet with alongwith the electronics health record (EHR) and AI analytics making H-CPS possible. IoMT-end devices like wearables and implantables are key for H-CPS based smart healthcare. Smart garment is a specific wearable which can be used for smart healthcare. There are various smart garments that help users to monitor their body vitals in real-time. Many commercially available garments collect the vital data and transmit it to the mobile application for visualization. However, these don't perform real-time analysis for the user to comprehend their health conditions. Also, such garments are not included with an alert system to alert users and contacts in case of emergency. In MyWear, we propose a wearable body vital monitoring garment that captures physiological data and automatically analyses such heart rate, stress level, muscle activity to detect abnormalities. A copy of the physiological data is transmitted to the cloud for detecting any abnormalities in heart beats and predict any potential heart failure in future. We also propose a deep neural network (DNN) model that automatically classifies abnormal heart beat and potential heart failure. For immediate assistance in such a situation, we propose an alert system that sends an alert message to nearby medical officials. The proposed MyWear has an average accuracy of 96.9% and precision of 97.3% for detection of the abnormalities.

[1]  Wan-Young Chung,et al.  Wireless sensor network based wearable smart shirt for ubiquitous health and activity monitoring , 2009 .

[2]  Saraju P. Mohanty,et al.  EasyBand: A Wearable for Safety-Aware Mobility During Pandemic Outbreak , 2020, IEEE Consumer Electronics Magazine.

[3]  Yu Tsao,et al.  SmartHear: A Smartphone-Based Remote Microphone Hearing Assistive System Using Wireless Technologies , 2018, IEEE Systems Journal.

[4]  Ibnu Roihan,et al.  Prototype low-cost portable electrocardiogram (ECG) based on Arduino-Uno with Bluetooth feature , 2019, THE 4TH BIOMEDICAL ENGINEERING’S RECENT PROGRESS IN BIOMATERIALS, DRUGS DEVELOPMENT, HEALTH, AND MEDICAL DEVICES: Proceedings of the International Symposium of Biomedical Engineering (ISBE) 2019.

[5]  Yeong-Chin Chen,et al.  ECG Measurement System Based on Arduino and Android Devices , 2016, 2016 International Symposium on Computer, Consumer and Control (IS3C).

[6]  C. Sweetlin Hemalatha,et al.  Conference on Ambient Systems , Networks and Technologies ( ANT 2013 ) Frequent Bit Pattern Mining Over Triaxial Accelerometer Data Streams For Recognizing Human Activities And Detecting Fall , 2013 .

[7]  U. Rajendra Acharya,et al.  A deep convolutional neural network model to classify heartbeats , 2017, Comput. Biol. Medicine.

[8]  Priyadarsi Nanda,et al.  Proof-of-Authentication for Scalable Blockchain in Resource-Constrained Distributed Systems , 2019, 2019 IEEE International Conference on Consumer Electronics (ICCE).

[9]  Chandan Chakraborty,et al.  Application of Higher Order cumulant Features for Cardiac Health Diagnosis using ECG signals , 2013, Int. J. Neural Syst..

[10]  Philip Ogunbona,et al.  Smart Fabrics and Networked Clothing: Recent developments in CNT-based fibers and their continual refinement , 2016, IEEE Consumer Electronics Magazine.

[11]  Fynn Schwiegelshohn,et al.  Toward an ICT-Based Service Oriented Health Care Paradigm , 2020, IEEE Consumer Electronics Magazine.

[12]  Sheng-Chieh Huang,et al.  SDNN/RMSSD as a surrogate for LF/HF: a revised investigation , 2012 .

[13]  Nibras Abo Alzahab,et al.  Design of EMG Acquisition Circuit to Control an Antagonistic Mechanism Actuated by Pneumatic Artificial Muscles PAMs , 2017 .

[14]  Kaigang Li,et al.  Heart rate measures from the Apple Watch, Fitbit Charge HR 2, and electrocardiogram across different exercise intensities , 2019, Journal of sports sciences.

[15]  Fan Li,et al.  PoBT: A Lightweight Consensus Algorithm for Scalable IoT Business Blockchain , 2020, IEEE Internet of Things Journal.

[16]  Samarendra Dandapat,et al.  Multiscale Energy and Eigenspace Approach to Detection and Localization of Myocardial Infarction , 2015, IEEE Transactions on Biomedical Engineering.

[17]  Beakcheol Jang,et al.  Collecting Health Lifelog Data From Smartwatch Users in a Privacy-Preserving Manner , 2019, IEEE Transactions on Consumer Electronics.

[18]  Meikang Qiu,et al.  Secure Health Data Sharing for Medical Cyber-Physical Systems for the Healthcare 4.0 , 2020, IEEE Journal of Biomedical and Health Informatics.

[19]  Yucheng Liu,et al.  Smart Healthcare in the Era of Internet-of-Things , 2019, IEEE Consumer Electronics Magazine.

[20]  Hao Jin,et al.  Wearable Motion Attitude Detection and Data Analysis Based on Internet of Things , 2020, IEEE Access.

[21]  Reza Boostani,et al.  Prediction of acute myocardial infarction with artificial neural networks in patients with nondiagnostic electrocardiogram , 2015 .

[22]  Sanjivani Ashok Bhavake,et al.  Fog Computing Security Challenges and Future Directions , 2019 .

[23]  Fang Rong Hsu,et al.  A Study of User Interface with Wearable Devices Based on Computer Vision , 2020, IEEE Consumer Electronics Magazine.

[24]  Bessam Abdulrazak,et al.  Context aware adaptable approach for fall detection bases on smart textile , 2017, 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

[25]  Sherali Zeadally,et al.  Health Fog for Smart Healthcare , 2020, IEEE Consumer Electronics Magazine.

[26]  Emiliano Schena,et al.  Respiratory Monitoring During Physical Activities With a Multi-Sensor Smart Garment and Related Algorithms , 2020, IEEE Sensors Journal.

[27]  Saraju P. Mohanty,et al.  Stress-Lysis: A DNN-Integrated Edge Device for Stress Level Detection in the IoMT , 2019, IEEE Transactions on Consumer Electronics.

[28]  Prateek Jain,et al.  iGLU: An Intelligent Device for Accurate Noninvasive Blood Glucose-Level Monitoring in Smart Healthcare , 2020, IEEE Consumer Electronics Magazine.

[29]  Theodore Antonakopoulos,et al.  Wearable Smart Health Advisors: An IMU-Enabled Posture Monitor , 2020, IEEE Consumer Electronics Magazine.

[30]  Min Zhou,et al.  ECG Classification Using Wavelet Packet Entropy and Random Forests , 2016, Entropy.

[31]  Yi-Mao Hsiao,et al.  An outdoor intelligent healthcare monitoring device for the elderly , 2016, IEEE Transactions on Consumer Electronics.

[32]  Sandeep Raj,et al.  A Personalized Point-of-Care Platform for Real-Time ECG Monitoring , 2018, IEEE Transactions on Consumer Electronics.

[33]  Robert Simon Sherratt,et al.  A Survey on Wireless Body Area Networks for eHealthcare Systems in Residential Environments , 2016, Sensors.

[34]  Constantinos Mavroidis,et al.  SQUID: Sensorized shirt with smartphone interface for exercise monitoring and home rehabilitation , 2013, 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR).

[35]  U. Rajendra Acharya,et al.  Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals , 2017, Inf. Sci..

[36]  Zhirun Hu,et al.  Smart Textile Integrated Wireless Powered Near Field Communication Body Temperature and Sweat Sensing System , 2020, IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology.

[37]  David McEneaney,et al.  Arm-ECG Wireless Sensor System for Wearable Long-Term Surveillance of Heart Arrhythmias , 2019 .

[38]  Aldo W. Morales,et al.  Heart Rate Estimation of PPG Signals With Simultaneous Accelerometry Using Adaptive Neural Network Filtering , 2020, IEEE Transactions on Consumer Electronics.

[39]  V. C. Padaki,et al.  Smart Vest: wearable multi-parameter remote physiological monitoring system. , 2008, Medical engineering & physics.

[40]  Deepak Puthal,et al.  Big-Sensing-Data Curation for the Cloud is Coming: A Promise of Scalable Cloud-Data-Center Mitigation for Next-Generation IoT and Wireless Sensor Networks , 2017, IEEE Consumer Electronics Magazine.

[41]  Xu Zhou,et al.  Fall Detection Using Convolutional Neural Network With Multi-Sensor Fusion , 2018, 2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW).

[42]  Deepak Puthal,et al.  Proof of Authentication: IoT-Friendly Blockchains , 2019, IEEE Potentials.

[43]  Saraju P. Mohanty,et al.  iLog: An Intelligent Device for Automatic Food Intake Monitoring and Stress Detection in the IoMT , 2020, IEEE Transactions on Consumer Electronics.

[44]  Kasun Samarawickrama,et al.  Surface EMG Signal Acquisition Analysis and Classification for the Operation of a Prosthetic Limb , 2018 .

[45]  Saraju P. Mohanty,et al.  Smart Healthcare for Diabetes During COVID-19 , 2021, IEEE Consumer Electronics Magazine.

[46]  Saraju P. Mohanty,et al.  Smart-Log: A Deep-Learning Based Automated Nutrition Monitoring System in the IoT , 2018, IEEE Transactions on Consumer Electronics.

[47]  Chih-Wei Lee,et al.  Improving Mobility for the Visually Impaired: A Wearable Indoor Positioning System Based on Visual Markers , 2018, IEEE Consumer Electronics Magazine.

[48]  Dongxiao Zhu,et al.  On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks , 2020, AAAI.

[49]  Prateek Jain,et al.  iGLU 2.0: A New Wearable for Accurate Non-Invasive Continuous Serum Glucose Measurement in IoMT Framework , 2020, IEEE Transactions on Consumer Electronics.

[50]  Albert Y. Zomaya,et al.  Building a Sustainable Internet of Things: Energy-Efficient Routing Using Low-Power Sensors Will Meet the Need , 2018, IEEE Consumer Electronics Magazine.

[51]  G.B. Moody,et al.  The impact of the MIT-BIH Arrhythmia Database , 2001, IEEE Engineering in Medicine and Biology Magazine.

[52]  Pratik Kanani,et al.  Recognizing Real Time ECG Anomalies Using Arduino, AD8232 and Java , 2018 .

[53]  Saraju P. Mohanty,et al.  A Smart Sensor in the IoMT for Stress Level Detection , 2018, 2018 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS).

[54]  Bijan Najafi,et al.  Health Sensors, Smart Home Devices, and the Internet of Medical Things: An Opportunity for Dramatic Improvement in Care for the Lower Extremity Complications of Diabetes , 2018, Journal of diabetes science and technology.