An Internet of Things-Based Home Telehealth System for Smart Healthcare by Monitoring Sleep and Water Usage: A Preliminary Study
Abstract
:1. Introduction
2. Materials and Methods
2.1. System Design
2.2. Distributed Sensors
2.3. Subjects and Sensor Settings
2.4. Data Collection and Evaluation
2.4.1. Long-Term Measurement of HR and RR
2.4.2. Measurement of BM
2.4.3. Measurement of Daily Water Usage
2.5. Feedback on the Analyzed Results
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Author, Year | Aims and Methodology | Hardware/Software (Technology) | Evaluation Metrics | Features | Limitations |
---|---|---|---|---|---|
S. Ohta, 2002 [9] | tracking movements of elderly living alone using infrared sensors for health monitoring | AMP2109, AMN1111-2 | movements | inexpensive, unrestricted | difficult to detect an emergency |
Cheng, 2010 [34] | tracking the location and movement of an in-home patient for facilitating early detection of Alzheimer’s disease | Bluetooth AP, PC, database | locations, movements | inexpensive, unrestricted, unobtrusive | lack of real-time interaction and decision engine feedback |
Tsukiyama, 2015 [35] | evaluating of the health status of solitary elderly by monitoring their daily water usage and motion | water flow sensor, infrared sensor, RFID, Raspberry Pi | water usage, living activities | unobtrusive low-cost | non-24-h monitoring |
Guan, 2017 [27] | long-term and continuous home health monitoring for the elderly using wearable smart clothing | STM32F401, Bluetooth, accelerometer, Android APP | ECG, motion | wearable | obtrusive |
Chatrati, 2020 [36] | predicting hypertension and type 2 diabetes using supervised classification machine learning approach | smartphone, PC | BP, glucose | user-friendly GUI | manually inputting |
Dhruba, 2021 [37] | monitoring sleep apnea in real-time by measuring various physiological parameters with six kinds of sensors | AD8232, MAX30102, Bluetooth, GSR and sound sensor, Arduino UNO | ECG, HR, PR, SpO2, GSR | data processing in real-time | obtrusive, restrictive |
Jeong, 2022 [38] | physiological monitoring of patients at risk of stroke using wearable wireless sensor | AD8233, Bluetooth, smpartphone, cloud server | ECG/EMG | wearable, high accuracy of HR | obtrusive, restrictive |
Wu, 2023 [39] | remotely monitoring the locations and physical conditions of quarantined individuals in real-time | watch with thermistor MF5B, PPG MAX30102 sensor, Nano 33 BLE, cloud server | BT, HR, SpO2 | total design, rich utility | high power consumption |
Tang, 2023 (proposed) | evaluating the lifestyle of the living elderly alone and preventing solitary death by monitoring daily water usage and vital signs during sleep | electronic water meter, sleep sensor, Note-RED, cloud server | water usage, HR, RR, BM | unrestricted, unobtrusive | difficult to rescue critical patients |
Subject ID | Age | Sex | Living Alone | Water Meter |
---|---|---|---|---|
1 | 68 | Male | No | No |
2 | 81 | Male | Yes | Yes |
3 | 77 | Male | No | Yes |
4 | 75 | Male | No | Yes |
5 | 77 | Male | No | Yes |
6 | 79 | Female | Yes | Yes |
7 | 86 | Male | Yes | Yes |
8 | 84 | Female | Yes | Yes |
9 | 86 | Female | Yes | Yes |
10 | 67 | Female | Yes | Yes |
11 | 65 | Male | No | No |
12 | 81 | Female | Yes | No |
13 | 67 | Male | - | No |
14 | 83 | Female | Yes | No |
15 | 81 | Male | No | No |
16 | 77 | Male | - | Yes |
17 | 79 | Male | - | No |
18 | 77 | Female | - | No |
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Tang, Z.; Jiang, L.; Zhu, X.; Huang, M. An Internet of Things-Based Home Telehealth System for Smart Healthcare by Monitoring Sleep and Water Usage: A Preliminary Study. Electronics 2023, 12, 3652. https://doi.org/10.3390/electronics12173652
Tang Z, Jiang L, Zhu X, Huang M. An Internet of Things-Based Home Telehealth System for Smart Healthcare by Monitoring Sleep and Water Usage: A Preliminary Study. Electronics. 2023; 12(17):3652. https://doi.org/10.3390/electronics12173652
Chicago/Turabian StyleTang, Zunyi, Linlin Jiang, Xin Zhu, and Ming Huang. 2023. "An Internet of Things-Based Home Telehealth System for Smart Healthcare by Monitoring Sleep and Water Usage: A Preliminary Study" Electronics 12, no. 17: 3652. https://doi.org/10.3390/electronics12173652
APA StyleTang, Z., Jiang, L., Zhu, X., & Huang, M. (2023). An Internet of Things-Based Home Telehealth System for Smart Healthcare by Monitoring Sleep and Water Usage: A Preliminary Study. Electronics, 12(17), 3652. https://doi.org/10.3390/electronics12173652