Research and Commercialization Progress of Wearable Multiphysiological Parameter Sensors
Source abstract
Abstract
ABSTRACT Clinical diagnosis and treatment of patients can be carried out by measuring human physiological parameters such as pulse wave, blood pressure, blood flow rate, body temperature, and sweat. By wearing more sensors, people can monitor their physiological indicators in their daily lives, which plays a key role in the early detection and diagnosis of diseases. This review mainly outlines the research on wearable physiological signal detection devices in the last five years and the commercial physiological signal detection devices that are commonly used today. There are three main aspects: pulse wave signal, blood flow rate signal detection, and sweat signal detection. In terms of pulse wave signal detection, we reviewed piezoelectric, piezoresistive, triboelectric, capacitive, magnetoelasticity, and photoplethysmographic methods. In terms of blood flow velocity detection, a review of noninvasive blood flow velocity detection devices based on the ultrasonic Doppler frequency shift principle is presented in this section. In terms of sweat signal detection, a review of sweat collection and analysis devices is presented, mainly from the perspective of sweat electrolytes, lactate glucose, and other markers. This review aims to introduce and summarize the latest monitoring technologies for wearable sensors and provide technical references and support for further research.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Non-Invasive Vital Sign Monitoring · Cardiovascular Health and Disease Prevention
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering Beihang University Beijing China
Funding
National Natural Science Foundation of China · National Key Research and Development Program of China
References (100+)
Show source-provided references
1. 10.1038/s41467‐025‐58056‐210.1038/s41467‐025‐58056‐2 ↗
2. 10.1038/s41551‐024‐01183‐w10.1038/s41551‐024‐01183‐w ↗
3. 10.1038/s41440‐025‐02167‐210.1038/s41440‐025‐02167‐2 ↗
4. 10.1038/s41928‐023‐01116‐610.1038/s41928‐023‐01116‐6 ↗
5. 10.1038/s41528‐024‐00373‐510.1038/s41528‐024‐00373‐5 ↗
6. 10.1038/s41467‐023‐40763‐310.1038/s41467‐023‐40763‐3 ↗
7. 10.1038/s41598‐024‐60718‐y10.1038/s41598‐024‐60718‐y ↗
8. 10.1038/s41440‐025‐02165‐410.1038/s41440‐025‐02165‐4 ↗
9. 10.1016/j.jdiacomp.2024.10889410.1016/j.jdiacomp.2024.108894 ↗
10. 10.1097/HJH.000000000000331810.1097/HJH.0000000000003318 ↗
11. 10.1186/s12872‐024‐04394‐w10.1186/s12872‐024‐04394‐w ↗
12. 10.4103/bc.bc_30_2410.4103/bc.bc_30_24 ↗
13. 10.3389/fneur.2022.90637710.3389/fneur.2022.906377 ↗
14. 10.1038/s41928‐024‐01136‐w10.1038/s41928‐024‐01136‐w ↗
15. 10.1021/acssensors.4c0052810.1021/acssensors.4c00528 ↗
16. 10.1038/s41587‐023‐02059‐110.1038/s41587‐023‐02059‐1 ↗
17. 10.1038/s41598‐017‐09544‐z10.1038/s41598‐017‐09544‐z ↗
18. 10.1063/5.018960410.1063/5.0189604 ↗
19. 10.1021/acsnano.9b0826810.1021/acsnano.9b08268 ↗
20. 10.1038/s41528‐022‐00165‐910.1038/s41528‐022‐00165‐9 ↗
21. 10.1002/adma.20210935710.1002/adma.202109357 ↗
22. 10.1038/s41746‐025‐01463‐y10.1038/s41746‐025‐01463‐y ↗
23. 10.1021/acssensors.2c0094210.1021/acssensors.2c00942 ↗
24. 10.1002/adma.20230591710.1002/adma.202305917 ↗
25. 10.1038/s44328‐024‐00021‐y10.1038/s44328‐024‐00021‐y ↗
26. 10.1038/s44328‐025‐00032‐310.1038/s44328‐025‐00032‐3 ↗
27. 10.1038/s41378‐024‐00783‐510.1038/s41378‐024‐00783‐5 ↗
28. 10.1038/s41569‐025‐01127‐010.1038/s41569‐025‐01127‐0 ↗
29. 10.1038/s41551‐021‐00763‐410.1038/s41551‐021‐00763‐4 ↗
30. 10.1038/s41586‐022‐05498‐z10.1038/s41586‐022‐05498‐z ↗
31. 10.1016/j.tibtech.2020.12.01110.1016/j.tibtech.2020.12.011 ↗
32. 10.1021/acsnano.2c1245810.1021/acsnano.2c12458 ↗
33. 10.1016/j.nanoen.2022.10714910.1016/j.nanoen.2022.107149 ↗
34. 10.1038/s41440‐024‐01764‐x10.1038/s41440‐024‐01764‐x ↗
35. 10.1109/TUFFC.2012.247310.1109/TUFFC.2012.2473 ↗
36. 10.1177/000331971774254410.1177/0003319717742544 ↗
37. 10.1038/s44385‐025‐00007‐z10.1038/s44385‐025‐00007‐z ↗
38. 10.1038/s41598‐025‐91023‐x10.1038/s41598‐025‐91023‐x ↗
39. 10.1038/s41440‐023‐01552‐z10.1038/s41440‐023‐01552‐z ↗
40. 10.1007/s40292‐018‐0273‐010.1007/s40292‐018‐0273‐0 ↗
41. 10.1161/HYPERTENSIONAHA.123.2243610.1161/HYPERTENSIONAHA.123.22436 ↗
42. 10.1007/s11239‐020‐02166‐910.1007/s11239‐020‐02166‐9 ↗
43. 10.3389/fcvm.2022.101349010.3389/fcvm.2022.1013490 ↗
44. 10.1113/EP08781910.1113/EP087819 ↗
45. 10.1038/s41598‐023‐48776‐010.1038/s41598‐023‐48776‐0 ↗
46. 10.1186/s12903‐024‐05169‐710.1186/s12903‐024‐05169‐7 ↗
47. 10.1016/j.mri.2022.12.00510.1016/j.mri.2022.12.005 ↗
48. 10.1109/JSEN.2021.307431110.1109/JSEN.2021.3074311 ↗
49. 10.1038/s41598‐024‐81042‐510.1038/s41598‐024‐81042‐5 ↗
50. 10.1021/acsnano.4c1034410.1021/acsnano.4c10344 ↗
51. 10.1021/acssensors.1c0113310.1021/acssensors.1c01133 ↗
52. 10.1038/s41586‐024‐07161‐110.1038/s41586‐024‐07161‐1 ↗
53. 10.1021/acsami.4c0152110.1021/acsami.4c01521 ↗
54. 10.1038/s41569‐020‐0426‐410.1038/s41569‐020‐0426‐4 ↗
55. 10.1021/acsami.2c1965410.1021/acsami.2c19654 ↗
56. 10.3390/bios1207047910.3390/bios12070479 ↗
57. 10.1002/adma.20211029110.1002/adma.202110291 ↗
58. 10.1002/adma.20230162710.1002/adma.202301627 ↗
59. 10.1021/acssensors.3c0218010.1021/acssensors.3c02180 ↗
60. 10.1038/s41467‐021‐22663‐610.1038/s41467‐021‐22663‐6 ↗
61. 10.1016/j.nanoen.2022.10762510.1016/j.nanoen.2022.107625 ↗
62. 10.1002/adfm.20210237810.1002/adfm.202102378 ↗
63. 10.1021/acsami.4c0016110.1021/acsami.4c00161 ↗
64. 10.1021/acsami.7b0575310.1021/acsami.7b05753 ↗
65. 10.1021/acsami.9b0326110.1021/acsami.9b03261 ↗
66. 10.1021/acsami.0c0369710.1021/acsami.0c03697 ↗
67. 10.1016/j.jcis.2020.10.00610.1016/j.jcis.2020.10.006 ↗
68. 10.1021/acsnano.2c1189710.1021/acsnano.2c11897 ↗
69. 10.1002/adma.20200600610.1002/adma.202006006 ↗
70. 10.3390/ma1311243110.3390/ma13112431 ↗
71. 10.3390/nano1215252210.3390/nano12152522 ↗
72. 10.1007/s40843‐023‐2534‐110.1007/s40843‐023‐2534‐1 ↗
73. 10.1021/acsnano.1c0669510.1021/acsnano.1c06695 ↗
74. 10.1109/JSEN.2022.323069610.1109/JSEN.2022.3230696 ↗
75. 10.1021/acsami.3c1010010.1021/acsami.3c10100 ↗
76. 10.1002/adma.20210332010.1002/adma.202103320 ↗
77. 10.1021/acssensors.1c0048410.1021/acssensors.1c00484 ↗
78. 10.1126/sciadv.abm117510.1126/sciadv.abm1175 ↗
79. 10.1002/adma.20210417810.1002/adma.202104178 ↗
80. 10.1007/s12274‐022‐4172‐210.1007/s12274‐022‐4172‐2 ↗
81. 10.1021/acsnano.3c0976610.1021/acsnano.3c09766 ↗
82. 10.1016/j.nanoen.2022.10754610.1016/j.nanoen.2022.107546 ↗
83. 10.1002/adma.20220247810.1002/adma.202202478 ↗
84. 10.1016/j.nanoen.2020.10561410.1016/j.nanoen.2020.105614 ↗
85. 10.1016/j.nanoen.2021.10670410.1016/j.nanoen.2021.106704 ↗
86. 10.1016/j.nanoen.2022.10771010.1016/j.nanoen.2022.107710 ↗
87. 10.1007/s40820‐023‐01081‐x10.1007/s40820‐023‐01081‐x ↗
88. 10.1038/s41563‐024‐01802‐610.1038/s41563‐024‐01802‐6 ↗
89. 10.1038/s41563‐021‐01093‐110.1038/s41563‐021‐01093‐1 ↗
90. 10.1038/s41467‐021‐27066‐110.1038/s41467‐021‐27066‐1 ↗
91. 10.1021/acsnano.1c1135010.1021/acsnano.1c11350 ↗
92. 10.1038/s41467‐024‐52462‐810.1038/s41467‐024‐52462‐8 ↗
93. 10.1038/s41928‐025‐01418‐x10.1038/s41928‐025‐01418‐x ↗
94. 10.1038/s41928‐024‐01196‐y10.1038/s41928‐024‐01196‐y ↗
95. 10.1002/adhm.20230183810.1002/adhm.202301838 ↗
96. 10.1016/j.bspc.2022.10421410.1016/j.bspc.2022.104214 ↗
97. 10.1016/j.measurement.2022.11121110.1016/j.measurement.2022.111211 ↗
98. 10.1016/j.bbe.2021.11.00110.1016/j.bbe.2021.11.001 ↗
99. 10.1038/s41467‐021‐22558‐610.1038/s41467‐021‐22558‐6 ↗
100. 10.1021/acsami.7b1530710.1021/acsami.7b15307 ↗