Correction to: Microsystems & Nanoengineering

https://doi.org/10.1038/s41378-023-00591-3 published online 18 September 2023

After the publication of this article1, it was brought to our attention that two references need to be added in the article, the necessary changes are as follows:

Correction 1:

The below description of “In order to collect sEMG signals from the suprahyoid and infrahyoid muscles, Makoto et al. used a flexible PCB (printed circuit board) multichannel sEMG array. Based on temporal and spatial data, they examined the muscular synergism during swallowing motions and presented a machine learning method to categorize swallowing patterns24,25.” will be added between the sentences of “Moreover, it enables accurate, comprehensive, and objective evaluation of the synergistic effects of different muscles during muscle activity.” and “Kim et al. presented a reusable, multichannel sEMG sensor array that covered multiple muscles over relatively large areas.” on page 2.

Correction 2:

  • A published work by “ Suzuki, M. et al. Swallowing pattern classification method using multichannel surface EMG signals of suprahyoid and infrahyoid muscles. Adv. Biomed. Eng. 9, 10–20 (2020).” was included as the new citation No. 24.

  • The original reference No. 42 of “Murakami, C., Sasaki, M., Shimoda, S. & Tamada, Y. Quantification of the swallowing mechanism through muscle synergy analysis. Dysphagia 38, 1–17 (2022).” became the updated reference No. 25.

  • Overall, the citations from No. 24 to No. 46 were updated as follows:

24. Suzuki, M. et al. Swallowing pattern classification method using multichannel surface EMG signals of suprahyoid and infrahyoid muscles. Adv. Biomed. Eng. 9, 10–20 (2020).

25. Murakami, C., Sasaki, M., Shimoda, S. & Tamada, Y. Quantification of the swallowing mechanism through muscle synergy analysis. Dysphagia 38, 1–17 (2022).

26. Yang, G. et al. Adhesive and hydrophobic bilayer hydrogel enabled on-skin biosensors for high-fidelity classification of human emotion. Adv. Funct. Mater. 32, 2200457 (2022).

27. Han, Q. et al. Hydrogel nanoarchitectonics of a flexible and self-adhesive electrode for long-term wireless electroencephalogram recording and high-accuracy sustained attention evaluation. Adv. Mater. 35, 2209606 (2023).

28. Pan, L. et al. A compliant ionic adhesive electrode with ultralow bioelectronic impedance. Adv. Mater. 32, e2003723 (2020).

29. Roy, C. K. et al. Self-adjustable adhesion of polyampholyte hydrogels. Adv. Mater. 27, 7344–7348 (2015).

30. Yuk, H. et al. 3D printing of conducting polymers. Nat. Commun. 11, 1604 (2020).

31. Han, L. et al. Mussel-inspired adhesive and conductive hydrogel with long-lasting moisture and extreme temperature tolerance. Adv. Funct. Mater. 28, 1704195 (2018).

32. Tang, H. et al. In situ forming epidermal bioelectronics for daily monitoring and comprehensive exercise. ACS Nano 16, 17931–17947 (2022).

33. Cheng, S. et al. Ultrathin hydrogel films toward breathable skin-integrated electronics. Adv. Mater. 35, e2206793 (2023).

34. Hsieh, J. C. et al. A highly stable electrode with low electrode-skin impedance for wearable brain-computer interface. Biosens. Bioelectron. 218, 114756 (2022).

35. Zavanelli, N. & Yeo, W. H. Advances in screen printing of conductive nanomaterials for stretchable electronics. ACS Omega 6, 9344–9351 (2021).

36. Jain, V., Ochoa, M., Jiang, H., Rahimi, R. & Ziaie, B. A mass-customizable dermal patch with discrete colorimetric indicators for personalized sweat rate quantification. Microsyst. Nanoeng. 5, 29 (2019).

37. Huang, Y. et al. Strong tough polyampholyte hydrogels via the synergistic effect of ionic and metal–ligand bonds. Adv. Funct. Mater. 31, 2103917 (2021).

38. Wu, L., Li, L., Qu, M., Wang, H. & Bin, Y. Mussel-inspired self-adhesive, antidrying, and antifreezing poly(acrylic acid)/bentonite/polydopamine hybrid glycerol-hydrogel and the sensing application. ACS Appl. Polym. Mater. 2, 3094–3106 (2020).

39. Yuk, H., Wu, J. & Zhao, X. Hydrogel interfaces for merging humans and machines. Nat. Rev. Mater. 7, 935–952 (2022).

40. Heikenfeld, J. et al. Wearable sensors: modalities, challenges, and prospects. Lab Chip 18, 217–248 (2018).

41. He, S., Cheng, Q., Liu, Y., Rong, Q. & Liu, M. Intrinsically anti-freezing and anti-dehydration hydrogel for multifunctional wearable sensors. Sci. China Mater. 65, 1980–1986 (2022).

42. Edition, A. C. I. et al. Polyzwitterionic hydrogels for efficient atmospheric water harvesting. Angew. Chem. Int. Ed. 61, e202200271 (2022).

43. Lee, Y. et al. Soft electronics enabled ergonomic human-computer interaction for swallowing training. Sci. Rep. 7, 46697 (2017).

44. Farina, D., Merletti, R., Indino, B., Nazzaro, M. & Pozzo, M. Surface EMG crosstalk between knee extensor muscles: experimental and model results. Muscle Nerve 26, 681–695 (2002).

45. Srinivasu, P. N. et al. Classification of skin disease using deep learning neural networks with MobileNet V2 and LSTM. Sensors 21, 2852 (2021).

46. Zhu, M. et al. Evaluation of normal swallowing functions by using dynamic high-density surface electromyography maps. Biomed. Eng. Online 16, 133 (2017).