Hardware Prototype for Wrist-Worn Simultaneous Monitoring of Environmental, Behavioral, and Physiological Parameters
Source abstract
Abstract
We designed a low-cost wrist-worn prototype for simultaneously measuring environmental, behavioral, and physiological domains of influencing factors in healthcare. Our prototype continuously monitors ambient elements (sound level, toxic gases, ultraviolet radiation, air pressure, temperature, and humidity), personal activity (motion tracking and body positioning using gyroscope, magnetometer, and accelerometer), and vital signs (skin temperature and heart rate). An innovative three-dimensional hardware, based on the multi-physical-layer approach is introduced. Using board-to-board connectors, several physical hardware layers are stacked on top of each other. All of these layers consist of integrated and/or add-on sensors to measure certain domain (environmental, behavioral, or physiological). The prototype includes centralized data processing, transmission, and visualization. Bi-directional communication is based on Bluetooth Low Energy (BLE) and can connect to smartphones as well as smart cars and smart homes for data analytic and adverse-event alerts. This study aims to develop a prototype for simultaneous monitoring of the all three areas for monitoring of workplaces and chronic obstructive pulmonary disease (COPD) patients with a concentration on technical development and validation rather than clinical investigation. We have implemented 6 prototypes which have been tested by 5 volunteers. We have asked the subjects to test the prototype in a daily routine in both indoor (workplaces and laboratories) and outdoor. We have not imposed any specific conditions for the tests. All presented data in this work are from the same prototype. Eleven sensors measure fifteen parameters from three domains. The prototype delivers the resolutions of 0.1 part per million (PPM) for air quality parameters, 1 dB, 1 index, and 1 °C for sound pressure level, UV, and skin temperature, respectively. The battery operates for 12.5 h under the maximum sampling rates of sensors without recharging. The final expense does not exceed 133€. We validated all layers and tested the entire device with a 75 min recording. The results show the appropriate functionalities of the prototype for further development and investigations.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Non-Invasive Vital Sign Monitoring · Air Quality Monitoring and Forecasting · Chronic Obstructive Pulmonary Disease (COPD) Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Braunschweig, 38106 Lower Saxony, Germany
Faculty of Engineering, University of Ilam, Ilam 69315-516, Iran
Center for Life Science Automation, University of Rostock, 18119 Rostock, Germany
References (80)
Show source-provided references
1. Palliative care in chronic obstructive pulmonary disease10.1016/j.jcrc.2016.05.019 ↗
2. Wu, F., Wu, T., and Yuce, M.R. (2019). An internet-of-things (IoT) network system for connected safety and health monitoring applications. Sensors, 19.10.3390/s19010021 ↗
3. Wu, F., R’udiger, C., and Yuce, M.R. (2017). Real-time performance of a self-powered environmental IoT sensor network system. Sensors, 17.10.3390/s17020282 ↗
4. Flexible technologies for self-powered wearable health and environmental sensing10.1109/JPROC.2015.2412493 ↗
5. P4 medicine: How systems medicine will transform the healthcare sector and society10.2217/pme.13.57 ↗
6. Wrist-worn and chest-strap wearable devices: Systematic review on accuracy and metrological characteristics10.1016/j.measurement.2020.107789 ↗
7. The role of individual differences on perceptions of wearable fitness device trust, usability, and motivational impact10.1016/j.apergo.2018.02.005 ↗
8. Rajanna, V., Lara-Garduno, R., Behera, D.J., Madanagopal, K., Goldberg, D., and Hammond, T. Step up life: A context aware health assistant. Proceedings of the Third ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health.
9. Wearable devices and healthcare: Data sharing and privacy10.1080/01972243.2017.1391912 ↗
10. Technology-based innovations to foster personalized healthy lifestyles and well-being: A targeted review10.2196/jmir.4863 ↗
11. Accuracy of a wrist-worn wearable device for monitoring heart rates in hospital inpatients: A prospective observational study10.2196/jmir.6025 ↗
12. Scalise, L., and Cosoli, G. (2018, January 14–17). Wearables for health and fitness: Measurement characteristics and accuracy. Proceedings of the 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Houston, TX, USA.10.1109/I2MTC.2018.8409635 ↗
13. Predictive, personalized, preventive and participatory (4P) medicine applied to telemedicine and eHealth in the literature10.1007/s10916-019-1279-4 ↗
14. Feasibility of using a smartwatch to intensively monitor patients with chronic obstructive pulmonary disease: Prospective cohort study10.2196/10046 ↗
15. Wearable technologies, health and well-being: A case review10.4103/digm.digm_13_17 ↗
16. Barriers to the adoption of wearable sensors in the workplace: A survey of occupational safety and health professionals10.1177/0018720817753907 ↗
17. Alex, G., Varghese, B., Jose, J.G., and Abraham, A. (2016). A modern health care system using IoT and Android. Int. J. Comput. Sci. Eng., 8.
18. Gholizadeh, A. (2019). Miniaturized Electronic Sensors and Actuators for Healthcare and Environmental Monitoring. [Ph.D. Thesis, Rutgers University-School of Graduate Studies].
19. Air pollution and chronic obstructive pulmonary disease10.1111/j.1440-1843.2011.02112.x ↗
20. Air pollution and COPD in China
21. Environmental noise pollution in the city of Curitiba, Brazil10.1016/S0003-682X(01)00052-4 ↗
22. UV radiation and the skin10.3390/ijms140612222 ↗
23. Shimazaki, T., Hara, S., Okuhata, H., Nakamura, H., and Kawabata, T. (2014, January 26–30). Cancellation of motion artifact induced by exercise for ppg-based heart rate sensing. Proceedings of the 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, USA.10.1109/EMBC.2014.6944307 ↗
24. Physiological condition monitoring of construction workers10.1016/j.autcon.2014.04.013 ↗
25. Antolín, D., Medrano, N., Calvo, B., and Pérez, F. (2017). A wearable wireless sensor network for indoor smart environment monitoring in safety applications. Sensors, 17.10.3390/s17020365 ↗
26. Ghorani-Azam, A., Riahi-Zanjani, B., and Balali-Mood, M. (2016). Effects of air pollution on human health and practical measures for prevention in Iran. J. Res. Med. Sci. Off. J. Isfahan Univ. Med. Sci., 21.10.4103/1735-1995.189646 ↗
27. (2020, April 17). Search Results: UV Radiation Standard. Available online: https://www.who.int/search?page=1&pagesize=10&query=UV.
28. Smart clothing: Connecting human with clouds and big data for sustainable health monitoring10.1007/s11036-016-0745-1 ↗
29. Low-power wearable systems for continuous monitoring of environment and health for chronic respiratory disease10.1109/JBHI.2016.2573286 ↗
30. A Flexible and Pervasive IoT Based Healthcare Platform for Physiological and Environmental Parameters Monitoring10.1109/JIOT.2020.2980432 ↗
31. In-ear audio wearable: Measurement of heart and breathing rates for health and safety monitoring10.1109/TBME.2017.2720463 ↗
32. Skin condition and its relationship to systemic inflammation in chronic obstructive pulmonary disease10.2147/COPD.S141805 ↗
33. To assess the quality of life (QOL) of caregivers and patients suffering from chronic obstructive pulmonary disease (COPD)
34. Incorporating telemedicine into the integrated care of the COPD patient a summary of an interdisciplinary workshop held in Stresa, Italy, 7–8 September 201710.1016/j.rmed.2018.09.003 ↗
35. Predictors of mortality in patients with COPD after 9 years10.2147/COPD.S174665 ↗
36. Three-year hospitalization and mortality in elderly smokers with chronic obstructive pulmonary disease or chronic heart failure10.1159/000492286 ↗
37. Metabolic and ventilatory parameters of four activities of daily living accomplished with arms in COPD patients10.1378/chest.123.4.1047 ↗
38. Pedone, C., Chiurco, D., Scarlata, S., and Incalzi, R.A. (2013). Efficacy of multiparametric telemonitoring on respiratory outcomes in elderly people with COPD: A randomized controlled trial. BMC Health Serv. Res., 13.10.1186/1472-6963-13-82 ↗
39. Hung, K., Zhang, Y.T., and Tai, B. (2004, January 1–5). Wearable medical devices for tele-home healthcare. Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Francisco, CA, USA.
40. Predicting the potential of wearable technology10.1109/MEMB.2003.1213623 ↗
41. Wireless house calls: Using communications technology for health care and monitoring10.1109/MMW.2002.1028361 ↗
42. Sul, A.R., Lyu, D.H., and Park, D.A. (2018). Effectiveness of telemonitoring versus usual care for chronic obstructive pulmonary disease: A systematic review and meta-analysis. J. Telemed Telecare.10.1177/1357633X18811757 ↗
43. Promise of wearable physical activity monitors in oncology practice10.1200/JOP.2016.016857 ↗
44. Patel, S., Mancinelli, C., Healey, J., Moy, M., and Bonato, P. (2009, January 3–5). Using wearable sensors to monitor physical activities of patients with copd: A comparison of classifier performance. Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks, Berkeley, CA, USA.10.1109/BSN.2009.53 ↗
45. Kollmann, D., Hogan, W.K., Steidl, C., Hibbs-Brenner, M.K., Hedin, D.S., and Lichter, P.A. (2013, January 3–7). VCSEL based, wearable, continuously monitoring pulse oximeter. Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan.10.1109/EMBC.2013.6610460 ↗
46. Noury, N., Dittmar, A., Corroy, C., Baghai, R., Weber, J., Blanc, D., Klefstat, F., Blinovska, A., Vaysse, S., and Comet, B. (2004, January 1–5). VTAMN-A smart clothe for ambulatory remote monitoring of physiological parameters and activity. Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Francisco, CA, USA.
47. Katsaras, T., Milsis, A., Rizikari, M., Saoulis, N., Varoutaki, E., and Vontetsianos, A. (2011, January 27–30). The use of the “Healthwear” wearable system in chronic patients’ early hospital discharge: Control randomized clinical trial. Proceedings of the 2011 5th International Symposium on Medical Information and Communication Technology, Montreux, Switzerland.10.1109/ISMICT.2011.5759815 ↗
48. A novel remote rehabilitation system with the fusion of noninvasive wearable device and motion sensing for pulmonary patients10.1155/2017/5823740 ↗
49. Identification of COPD patients’ health status using an intelligent system in the CHRONIOUS wearable platform10.1109/JBHI.2013.2293172 ↗
50. Chouvarda, I., Philip, N.Y., Natsiavas, P., Kilintzis, V., Sobnath, D., Kayyali, R., Henriques, J., Paiva, R.P., Raptopoulos, A., and Chételat, O. (2014, January 26–30). WELCOME—Innovative integrated care platform using wearable sensing and smart cloud computing for COPD patients with comorbidities. Proceedings of the 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, USA.10.1109/EMBC.2014.6944298 ↗
51. A low-cost, standalone, and multi-tasking watch for personalized environmental monitoring10.1109/TBCAS.2018.2840347 ↗
52. Detecting vital signs with wearable wireless sensors10.3390/s101210837 ↗
53. Wearable biosensors for healthcare monitoring10.1038/s41587-019-0045-y ↗
54. Increasing trend of wearables and multimodal interface for human activity monitoring: A review10.1016/j.bios.2016.12.001 ↗
55. The relationship between indoor and outdoor temperature, apparent temperature, relative humidity, and absolute humidity10.1111/ina.12052 ↗
56. The analysis of PPG morphology: Investigating the effects of aging on arterial compliance10.2478/v10048-012-0036-3 ↗
57. Mobile monitoring with wearable photoplethysmographic biosensors10.1109/MEMB.2003.1213624 ↗
58. The peripheral pulse wave: Information overlooked10.1007/BF02077634 ↗
59. Determination of age-related increases in large artery stiffness by digital pulse contour analysis10.1042/cs1030371 ↗
60. Poon, C., Teng, X., Wong, Y., Zhang, C., and Zhang, Y. (July, January 26). Changes in the photoplethysmogram waveform after exercise. Proceedings of the 2004 2nd IEEE/EMBS International Summer School on Medical Devices and Biosensors, Hong Kong, China.
61. On the analysis of fingertip photoplethysmogram signals10.2174/157340312801215782 ↗
62. Quantitative comparison of photoplethysmographic waveform characteristics: Effect of measurement site10.3389/fphys.2019.00198 ↗
63. Skin temperature measurement using contact thermometry: A systematic review of setup variables and their effects on measured values10.3389/fphys.2018.00029 ↗
64. Evaluation of mist-spraying environment on thermal sensations, thermal environment, and skin temperature under different operation modes10.1016/j.buildenv.2019.106484 ↗
65. Xie, L., Chen, P., Chen, S., Yu, K., and Sun, H. (2019). Low-Cost and highly sensitive wearable sensor based on napkin for health monitoring. Sensors, 19.10.3390/s19153427 ↗
66. Wearable medical sensor-based system design: A survey10.1109/TMSCS.2017.2675888 ↗
67. Smart wearable systems: Current status and future challenges10.1016/j.artmed.2012.09.003 ↗
68. Continuous remote monitoring of COPD patients—Justification and explanation of the requirements and a survey of the available technologies10.1007/s11517-018-1798-z ↗
69. Moraveji, N., Golz, P., Hollenbach, J., Holt, M., and Murray, R. (2019, January 26–28). Long-Term, ambulatory respiratory monitoring of COPD patients using garment-adhered sensors. Proceedings of the 2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Istanbul, Turkey.10.1109/MeMeA.2019.8802187 ↗
70. Manirabona, A., Fourati, L.C., and Boudjit, S. (2018). Investigation on healthcare monitoring systems: Innovative services and applications. Wearable Technologies: Concepts, Methodologies, Tools, and Applications, IGI Global.10.4018/978-1-5225-5484-4.ch058 ↗
71. Shi, S., Xie, Y., Li, M., Liu, A.X., and Zhao, J. (May, January 29). Synthesizing wider WiFi bandwidth for respiration rate monitoring in dynamic environments. Proceedings of the IEEE INFOCOM 2019-IEEE Conference on Computer Communications, Paris, France.10.1109/INFOCOM.2019.8737553 ↗
72. Wu, A.C., Tse, S.M., and Balli, F. (2020). Mobile applications and wearables for chronic respiratory disease monitoring. Precision in Pulmonary, Critical Care, and Sleep Medicine, Springer.10.1007/978-3-030-31507-8_19 ↗
73. Radogna, A.V., Fiore, N., Tumolo, M.R., De Luca, V., De Paolis, L.T., Guarino, R., Leo, C.G., Mincarone, P., Sabato, E., and Satriano, F. (2019). Exhaled breath monitoring during home ventilo-therapy in COPD patients by a new distributed tele-medicine system. J. Ambient Intell. Humaniz Comput., 1–9.10.1007/s12652-019-01618-2 ↗
74. A decision support system for tele-monitoring COPD-related worrisome events10.1109/JBHI.2017.2654682 ↗
75. Facilitating inter-domain synergies in ambient assisted living environments
76. The vehicle as a diagnostic space: Efficient placement of accelerometers for respiration monitoring during driving
77. Obesity and ARDS: Opportunity for highly personalized mechanical ventilation?10.4187/respcare.07292 ↗
78. Aliverti, A. (2017). Monitoring of Respiratory Mechanics. Acute Respiratory Distress Syndrome, Springer International Publishing.10.1007/978-3-319-41852-0_14 ↗
79. Monitoring of vascular endothelial growth factor and its soluble receptor levels in early trauma10.1097/TA.0000000000001373 ↗
80. Biomarkers for acute respiratory distress syndrome and prospects for personalised medicine10.1186/s12950-018-0202-y ↗