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Bai J, Lu Y, Liu H, He F, Guo X. Editorial: New technologies improve maternal and newborn safety. FRONTIERS IN MEDICAL TECHNOLOGY 2024; 6:1372358. [PMID: 38872737 PMCID: PMC11169838 DOI: 10.3389/fmedt.2024.1372358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 05/17/2024] [Indexed: 06/15/2024] Open
Affiliation(s)
- Jieyun Bai
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Information Technology, Jinan University, Guangzhou, China
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Yaosheng Lu
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Information Technology, Jinan University, Guangzhou, China
| | - Huishu Liu
- Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Fang He
- Department of Obstetrics and Gynecology, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaohui Guo
- Department of Obstetrics, Shenzhen People’s Hospital, Shenzhen, China
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De la Fuente C, Weinstein A, Neira A, Valencia O, Cruz-Montecinos C, Silvestre R, Pincheira PA, Palma F, Carpes FP. Biased instantaneous regional muscle activation maps: Embedded fuzzy topology and image feature analysis. Front Bioeng Biotechnol 2022; 10:934041. [PMID: 36619379 PMCID: PMC9813380 DOI: 10.3389/fbioe.2022.934041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 11/15/2022] [Indexed: 12/24/2022] Open
Abstract
The instantaneous spatial representation of electrical propagation produced by muscle contraction may introduce bias in surface electromyographical (sEMG) activation maps. Here, we described the effect of instantaneous spatial representation (sEMG segmentation) on embedded fuzzy topological polyhedrons and image features extracted from sEMG activation maps. We analyzed 73,008 topographic sEMG activation maps from seven healthy participants (age 21.4 ± 1.5 years and body mass 74.5 ± 8.5 kg) who performed submaximal isometric plantar flexions with 64 surface electrodes placed over the medial gastrocnemius muscle. Window lengths of 50, 100, 150, 250, 500, and 1,000 ms and overlap of 0, 25, 50, 75, and 90% to change sEMG map generation were tested in a factorial design (grid search). The Shannon entropy and volume of global embedded tri-dimensional geometries (polyhedron projections), and the Shannon entropy, location of the center (LoC), and image moments of maps were analyzed. The polyhedron volume increased when the overlap was <25% and >75%. Entropy decreased when the overlap was <25% and >75% and when the window length was <100 ms and >500 ms. The LoC in the x-axis, entropy, and the histogram moments of maps showed effects for overlap (p < 0.001), while the LoC in the y-axis and entropy showed effects for both overlap and window length (p < 0.001). In conclusion, the instantaneous sEMG maps are first affected by outer parameters of the overlap, followed by the length of the window. Thus, choosing the window length and overlap parameters can introduce bias in sEMG activation maps, resulting in distorted regional muscle activation.
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Affiliation(s)
- Carlos De la Fuente
- Carrera de Kinesiología, Departamento de Cs. de la Salud, Facultad de Medicina, Pontificia Universidad Católica, Santiago, Chile,Laboratory of Neuromechanics, Universidade Federal do Pampa, Campus Uruguaiana, Uruguaiana, Brazil,Unidad de Biomecánica, Centro de Innovación, Clínica MEDS, Santiago, Chile
| | - Alejandro Weinstein
- Centro de Investigación y Desarrollo en Ingeniería en Salud, Universidad de Valparaíso, Valparaíso, Chile
| | - Alejandro Neira
- Escuela de Kinesiología, Facultad de Ciencias, Universidad Mayor, Santiago, Chile
| | - Oscar Valencia
- Laboratorio Integrativo de Biomecánica y Fisiología del Esfuerzo, Facultad de Medicina, Escuela de Kinesiología, Universidad de los Andes, Santiago, Chile
| | - Carlos Cruz-Montecinos
- Laboratory of Clinical Biomechanics, Department of Physical Therapy, Faculty of Medicine, Universidad de Chile, Santiago, Chile
| | - Rony Silvestre
- Carrera de Kinesiología, Departamento de Cs. de la Salud, Facultad de Medicina, Pontificia Universidad Católica, Santiago, Chile,Unidad de Biomecánica, Centro de Innovación, Clínica MEDS, Santiago, Chile
| | - Patricio A. Pincheira
- School of Health and Rehabilitation Science, The University of Queensland, Brisbane, QLD, Australia,School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Felipe Palma
- Laboratorio Integrativo de Biomecánica y Fisiología del Esfuerzo, Facultad de Medicina, Escuela de Kinesiología, Universidad de los Andes, Santiago, Chile
| | - Felipe P. Carpes
- Laboratory of Neuromechanics, Universidade Federal do Pampa, Campus Uruguaiana, Uruguaiana, Brazil,*Correspondence: Felipe P. Carpes,
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Mhajna M, Sadeh B, Yagel S, Sohn C, Schwartz N, Warsof S, Zahar Y, Reches A. A Novel, Cardiac-Derived Algorithm for Uterine Activity Monitoring in a Wearable Remote Device. Front Bioeng Biotechnol 2022; 10:933612. [PMID: 35928952 PMCID: PMC9343786 DOI: 10.3389/fbioe.2022.933612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 06/15/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Uterine activity (UA) monitoring is an essential element of pregnancy management. The gold-standard intrauterine pressure catheter (IUPC) is invasive and requires ruptured membranes, while the standard-of-care, external tocodynamometry (TOCO)’s accuracy is hampered by obesity, maternal movements, and belt positioning. There is an urgent need to develop telehealth tools enabling patients to remotely access care. Here, we describe and demonstrate a novel algorithm enabling remote, non-invasive detection and monitoring of UA by analyzing the modulation of the maternal electrocardiographic and phonocardiographic signals. The algorithm was designed and implemented as part of a wireless, FDA-cleared device designed for remote pregnancy monitoring. Two separate prospective, comparative, open-label, multi-center studies were conducted to test this algorithm.Methods: In the intrapartum study, 41 laboring women were simultaneously monitored with IUPC and the remote pregnancy monitoring device. Ten patients were also monitored with TOCO. In the antepartum study, 147 pregnant women were simultaneously monitored with TOCO and the remote pregnancy monitoring device.Results: In the intrapartum study, the remote pregnancy monitoring device and TOCO had sensitivities of 89.8 and 38.5%, respectively, and false discovery rates (FDRs) of 8.6 and 1.9%, respectively. In the antepartum study, a direct comparison of the remote pregnancy monitoring device to TOCO yielded a sensitivity of 94% and FDR of 31.1%. This high FDR is likely related to the low sensitivity of TOCO.Conclusion: UA monitoring via the new algorithm embedded in the remote pregnancy monitoring device is accurate and reliable and more precise than TOCO standard of care. Together with the previously reported remote fetal heart rate monitoring capabilities, this novel method for UA detection expands the remote pregnancy monitoring device’s capabilities to include surveillance, such as non-stress tests, greatly benefiting women and providers seeking telehealth solutions for pregnancy care.
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Affiliation(s)
- Muhammad Mhajna
- Nuvo-Group, Ltd, Tel-Aviv, Israel
- *Correspondence: Muhammad Mhajna,
| | | | - Simcha Yagel
- Department of Obstetrics and Gynecology, Hadassah Medical Center, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Christof Sohn
- Department of Obstetrics and Gynecology, University Hospital, Heidelberg, Germany
| | - Nadav Schwartz
- Maternal and Child Health Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Steven Warsof
- Ob-Gyn/MFM at Eastern Virginia Medical School, Norfolk, VA, United States
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