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Senk S, Ulbricht M, Tsokalo I, Rischke J, Li SC, Speidel S, Nguyen GT, Seeling P, Fitzek FHP. Healing Hands: The Tactile Internet in Future Tele-Healthcare. Sensors (Basel) 2022; 22:s22041404. [PMID: 35214306 PMCID: PMC8963047 DOI: 10.3390/s22041404] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 01/31/2022] [Accepted: 02/01/2022] [Indexed: 02/01/2023]
Abstract
In the early 2020s, the coronavirus pandemic brought the notion of remotely connected care to the general population across the globe. Oftentimes, the timely provisioning of access to and the implementation of affordable care are drivers behind tele-healthcare initiatives. Tele-healthcare has already garnered significant momentum in research and implementations in the years preceding the worldwide challenge of 2020, supported by the emerging capabilities of communication networks. The Tactile Internet (TI) with human-in-the-loop is one of those developments, leading to the democratization of skills and expertise that will significantly impact the long-term developments of the provisioning of care. However, significant challenges remain that require today’s communication networks to adapt to support the ultra-low latency required. The resulting latency challenge necessitates trans-disciplinary research efforts combining psychophysiological as well as technological solutions to achieve one millisecond and below round-trip times. The objective of this paper is to provide an overview of the benefits enabled by solving this network latency reduction challenge by employing state-of-the-art Time-Sensitive Networking (TSN) devices in a testbed, realizing the service differentiation required for the multi-modal human-machine interface. With completely new types of services and use cases resulting from the TI, we describe the potential impacts on remote surgery and remote rehabilitation as examples, with a focus on the future of tele-healthcare in rural settings.
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Affiliation(s)
- Stefan Senk
- Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, Deutsche Telekom Chair of Communication Network, 01062 Dresden, Germany; (S.S.); (M.U.); (J.R.); (F.H.P.F.)
| | - Marian Ulbricht
- Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, Deutsche Telekom Chair of Communication Network, 01062 Dresden, Germany; (S.S.); (M.U.); (J.R.); (F.H.P.F.)
| | | | - Justus Rischke
- Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, Deutsche Telekom Chair of Communication Network, 01062 Dresden, Germany; (S.S.); (M.U.); (J.R.); (F.H.P.F.)
| | - Shu-Chen Li
- Centre for Tactile Internet with Human-in-the-Loop (CeTI), Faculty of Psychology, Technische Universität Dresden, 01062 Dresden, Germany;
| | - Stefanie Speidel
- Centre for Tactile Internet with Human-in-the-Loop (CeTI), National Center for Tumor Diseases, Technische Universität Dresden, 01062 Dresden, Germany;
| | - Giang T. Nguyen
- Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, Chair of Haptic Communication Systems, 01062 Dresden, Germany;
| | - Patrick Seeling
- Department of Computer Science, Central Michigan University, Mount Pleasant, MI 48859, USA
- Correspondence:
| | - Frank H. P. Fitzek
- Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, Deutsche Telekom Chair of Communication Network, 01062 Dresden, Germany; (S.S.); (M.U.); (J.R.); (F.H.P.F.)
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Seeling P, Reisslein M, Fitzek FHP. Real-Time Compression for Tactile Internet Data Streams. Sensors (Basel) 2021; 21:1924. [PMID: 33803484 PMCID: PMC7967243 DOI: 10.3390/s21051924] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Revised: 03/02/2021] [Accepted: 03/05/2021] [Indexed: 11/16/2022]
Abstract
The Tactile Internet will require ultra-low latencies for combining machines and humans in systems where humans are in the control loop. Real-time and perceptual coding in these systems commonly require content-specific approaches. We present a generic approach based on deliberately reduced number accuracy and evaluate the trade-off between savings achieved and errors introduced with real-world data for kinesthetic movement and tele-surgery. Our combination of bitplane-level accuracy adaptability with perceptual threshold-based limits allows for great flexibility in broad application scenarios. Combining the attainable savings with the relatively small introduced errors enables the optimal selection of a working point for the method in actual implementations.
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Affiliation(s)
- Patrick Seeling
- Department of Computer Science, Central Michigan University, Mount Pleasant, MI 48859, USA
| | - Martin Reisslein
- School of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ 85287-5706, USA;
| | - Frank H. P. Fitzek
- Centre for Tactile Internet with Human-in-the-Loop, Technische Universität Dresden, 01062 Dresden, Germany;
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Seeling P. Dataset for WWW landing pages webobject retrieval performance evaluation. Data Brief 2020; 30:105429. [PMID: 32258285 PMCID: PMC7118300 DOI: 10.1016/j.dib.2020.105429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Revised: 03/03/2020] [Accepted: 03/09/2020] [Indexed: 11/26/2022] Open
Abstract
This dataset describes data obtained from a multi-day World Wide Web (WWW) measurement campaign distributed internationally across multiple Amazon Web Service (AWS) datacentres. The Chrome web browser was controlled by the Selenium framework to make repetitive requests to several popular websites; the resulting webobjects were captured by a proxy server and details about them stored in the provided SQLite3 databases. A Python script is provided to evaluate the webobjects with respect to their configured as well as their actual expiration times, as part of our more detailed analysis that we provide in [1]. Researchers and practitioners can readily employ this dataset in their own research endeavours with little efforts for avenues of inquiry beyond webobject expiration times we described in [1], as we provide additional information about each webobject and each website visit during the measurement campaign time horizon.
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Affiliation(s)
- Patrick Seeling
- Department of Computer Science, Central Michigan University, United States
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Oner M, Pulcifer-Stump JA, Seeling P, Kaya T. Towards the run and walk activity classification through step detection--an android application. Annu Int Conf IEEE Eng Med Biol Soc 2013; 2012:1980-3. [PMID: 23366305 DOI: 10.1109/embc.2012.6346344] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Falling is one of the most common accidents with potentially irreversible consequences, especially considering special groups, such as the elderly or disabled. One approach to solve this issue would be an early detection of the falling event. Towards reaching the goal of early fall detection, we have worked on distinguishing and monitoring some basic human activities such as walking and running. Since we plan to implement the system mostly for seniors and the disabled, simplicity of the usage becomes very important. We have successfully implemented an algorithm that would not require the acceleration sensor to be fixed in a specific position (the smart phone itself in our application), whereas most of the previous research dictates the sensor to be fixed in a certain direction. This algorithm reviews data from the accelerometer to determine if a user has taken a step or not and keeps track of the total amount of steps. After testing, the algorithm was more accurate than a commercial pedometer in terms of comparing outputs to the actual number of steps taken by the user.
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Affiliation(s)
- Melis Oner
- School of Engineering and Technology, Central Michigan University, Mount Pleasant, MI 48859, USA.
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