Lakshman et al., 2024 - Google Patents
Architecture and Applications of IoT Devices in Socially Relevant FieldsLakshman et al., 2024
View PDF- Document ID
- 9339701586999611390
- Author
- Lakshman S
- Akash S
- Cynthia J
- Gautam R
- Ebenezer D
- Publication year
- Publication venue
- SN Computer Science
External Links
Snippet
A multitude of IoT-enabled devices are continually being explored and introduced annually, fostering robust competition among researchers and businesses seeking to leverage the IoT landscape, given the substantial market potential of these devices. The selection of IoT …
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/3418—Telemedicine, e.g. remote diagnosis, remote control of instruments or remote monitoring of patient carried devices
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
- A61B5/0022—Monitoring a patient using a global network, e.g. telephone networks, internet
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1112—Global tracking of patients, e.g. by using GPS
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal operating condition and not elsewhere provided for
- G08B21/02—Alarms for ensuring the safety of persons
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Din et al. | Machine learning in the Internet of Things: Designed techniques for smart cities | |
Uslu et al. | Analysis of factors affecting IoT-based smart hospital design | |
Shakeel et al. | A survey on COVID-19 impact in the healthcare domain: worldwide market implementation, applications, security and privacy issues, challenges and future prospects | |
Fahmy | WSNs applications | |
US10958512B2 (en) | Fine grained network management to edge device features | |
US10489649B2 (en) | Drone data locker system | |
US11514207B2 (en) | Tracking safety conditions of an area | |
Awotunde et al. | IoT-based wearable body sensor network for COVID-19 pandemic | |
US11575986B2 (en) | Wearable apparatus with universal wireless controller and monitoring technology comprising pandemic detection feature | |
US20230053605A1 (en) | Cold chain management and product tracking | |
Sharma et al. | Integrating M-health with IoMT to counter COVID-19 | |
Pandey et al. | Smart City Approaches Using Machine Learning and the IoT | |
Lakshman et al. | Architecture and Applications of IoT Devices in Socially Relevant Fields | |
Sooch et al. | Smart health monitoring during pandemic using internet of things | |
Shenoy | Sensor information processing for wearable iot devices | |
Deshpande et al. | The internet of things: vision, architecture and applications | |
Manga et al. | Internet of things-empowered next-generation healthcare systems | |
Saravanakumar et al. | 24/7 Elder Person's Health Monitoring System by Internet of Things | |
US12058214B2 (en) | Fine grained network management to edge device features | |
Genish et al. | IoT Innovation in COVID-19 Crisis | |
Padmanaban et al. | LoRA-IoT based Intelligent Healthcare Device for Physically Challenged People in Hospital Application using Artificial Intelligence | |
Prabagar et al. | Cloud based location tracking and controlling parameters system implementation for armed forces in the war field | |
Almalki et al. | Revolutionizing healthcare by coupling Unmanned Aerial vehicles (UAVs) to internet of medical things (IoMT) | |
Tyagi | Healthcare-internet of things and its components: Technologies, benefits, algorithms, security, and challenges | |
Rajaei et al. | Intelligent Fall Detection Monitoring System |