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  • LATEST MANUSCRIPTS IN Healthcare Technology Letters
  • Ruiqing Wang, Jie Zhang, Shilin He, Huayuan Guo, Tao Li, Qin Zhong, Jun Ma, Jie Xu, Kunlun He. Design and application of a novel telemedicine system jointly driven by multinetwork integration and remote control: Practical experience from PLAGH, China. Healthcare technology letters. 2023, 10 (6): 113-121
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  • Reza Abbasi-Kesbi, Mohammad Fathi, Seyed Zaniyar Sajadi. Movement examination of the lumbar spine using a developed wearable motion sensor. Healthcare technology letters. 2023, 10 (6): 122-132
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  • Richard Laugharne, Mohsen Farid, Christopher James, Anirban Dutta, Christopher Mould, Noelle Molten, Jonathan Laugharne, Rohit Shankar. Neurotechnological solutions for post-traumatic stress disorder: A perspective review and concept proposal. Healthcare technology letters. 2023, 10 (6): 133-138
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  • A Karim Jabali, Fuad A Abdulla. Electronic health records perception among three healthcare providers specialties in Saudi Arabia: A cross-sectional study. Healthcare technology letters. 2023, 10 (5): 104-111
    Cited : 1
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  • Dumtoochukwu Obiora Oyeka, John Batchelor, Rachel Saunders. A comparison of conductive ink usage optimization techniques used in fabrication of epidermal UHF radio frequency identification tags for medical and sensing applications. Healthcare technology letters. 2023, 10 (5): 99-103
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  • Reza Abbasi-Kesbi, Mohammad Fathi, Mohammad Najafi, Alireza Nikfarjam. Assessment of human gait after total knee arthroplasty by dynamic time warping algorithm. Healthcare technology letters. 2023, 10 (4): 73-79
    Cited : 1
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  • Fleur T Tehrani, James H Roum. Non-invasive ventilation treatment for patients with chronic obstructive pulmonary disease. Healthcare technology letters. 2023, 10 (4): 80-86
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  • Ala Abdulsalam Alarood, Muhammad Faheem, Mahmoud Ahmad Al-Khasawneh, Abdullah I A Alzahrani, Abdulrahman A Alshdadi. Secure medical image transmission using deep neural network in e-health applications. Healthcare technology letters. 2023, 10 (4): 87-98
    Cited : 7
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  • Neha Arora, Biswajit Mishra. Detection and classification of atrial and ventricular cardiovascular diseases to improve the cardiac health literacy for resource constrained regions. Healthcare technology letters. 2023, 10 (3): 35-52
    Cited : 0
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  • Jie Sun. Automatic cardiac arrhythmias classification using CNN and attention-based RNN network. Healthcare technology letters. 2023, 10 (3): 53-61
    Cited : 5
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  • Juan Manuel Pinar Manzanet, Giuseppe Fico, Beatriz Merino-Barbancho, Liss Hernández, Cecilia Vera-Muñoz, Germán Seara, Macarena Torrego, Henar Gonzalez, Jonas Wastesson, Johan Fastbom, Julio Mayol, Kristina Johnell, Tomás Gómez-Gascón, María Teresa Arredondo. Feasibility study of a clinical decision support system for polymedicated patients in primary care. Healthcare technology letters. 2023, 10 (3): 62-72
    Cited : 2
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  • Isfafuzzaman Tasin, Tansin Ullah Nabil, Sanjida Islam, Riasat Khan. Diabetes prediction using machine learning and explainable AI techniques. Healthcare technology letters. 2023, 10 (1-2): 1-10
    Cited : 39
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  • Ejay Nsugbe, Jose Javier Reyes-Lagos, Dawn Adams, Oluwarotimi Williams Samuel. On the prediction of premature births in Hispanic labour patients using uterine contractions, heart beat signals and prediction machines. Healthcare technology letters. 2023, 10 (1-2): 11-22
    Cited : 3
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  • Rouidi Mohammed, Elouadi Abd Elmajid, Hamdoune Amine, Choujtani Khadija. Acceptance factors of telemedicine technology during Covid-19 pandemic among health professionals: A qualitative study. Healthcare technology letters. 2023, 10 (1-2): 23-33
    Cited : 3
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  • Niamh McCombe, Jake Bamrah, Jose M Sanchez-Bornot, David P Finn, Paula L McClean, KongFatt Wong-Lin, . Alzheimer's disease classification using cluster-based labelling for graph neural network on heterogeneous data. Healthcare technology letters. 2022, 9 (6): 102-109
    Cited : 2
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