Sammeli Liikkanen

ORCID: 0000-0001-6705-9785
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About
Contact & Profiles
Research Areas
  • Musculoskeletal pain and rehabilitation
  • Privacy-Preserving Technologies in Data
  • Parkinson's Disease Mechanisms and Treatments
  • Pain Management and Placebo Effect
  • Stroke Rehabilitation and Recovery
  • Computational Drug Discovery Methods
  • Pediatric Pain Management Techniques
  • Biosimilars and Bioanalytical Methods
  • Autism Spectrum Disorder Research
  • Mind wandering and attention
  • Healthcare Systems and Public Health
  • Virtual Reality Applications and Impacts
  • Restless Legs Syndrome Research
  • Muscle activation and electromyography studies
  • Medication Adherence and Compliance
  • Genetics, Bioinformatics, and Biomedical Research
  • Botulinum Toxin and Related Neurological Disorders
  • Neurological disorders and treatments

Orion Corporation (Finland)
2013-2023

University of Turku
2023

Abstract Adults with chronic low back pain, disability, moderate-to-severe and high fear of movement reinjury were recruited into a trial novel, automated, digital therapeutics, virtual reality, psychological intervention for pain (DTxP). We conducted 3-arm, prospective, double-blind, pilot, randomized, controlled comparing DTxP sham placebo comparator an open-label standard care. Participants enrolled 6 to 8 weeks, after which, the care control arm rerandomized receive either or placebo....

10.1097/j.pain.0000000000002617 article EN cc-by-nc-nd Pain 2022-03-24

Parkinson's disease (PD) is a neurodegenerative disorder in which drug dosing regimens become increasingly complicated with the progression of disease. This poses significant risk nonadherence to and failure treatment response. We hypothesized that medication reminder delivered by short message service (SMS) could be one way ameliorate problem errors. conducted an open feasibility study 50 patients advanced PD. The subjects set up process receive reminders Web tool, after they started...

10.1089/tmj.2013.0014 article EN Telemedicine Journal and e-Health 2013-09-19

In the quantification of symptoms Parkinson's disease (PD), healthcare professional assessments, patient reported outcomes (PRO), and medical device grade wearables are currently used. Recently, also commercially available smartphones wearable devices have been actively researched in detection PD symptoms. The continuous, longitudinal, automated motor especially non-motor with these is still a challenge that requires more research. data collected from everyday life can be noisy frequently...

10.1371/journal.pdig.0000225 article EN cc-by PLOS Digital Health 2023-04-07

Chronic low back pain (CLBP) is a major public health problem. Reliably measuring the effects of chronic on movement and activity, any changes due to treatment, healthcare challenge. A recently published paper demonstrated that novel digital therapeutic (DTxP) was efficacious in reducing fear increasing quality life adult patients with moderate severe CLBP. In this paper, we report study how data from wearable devices collected could be used as measure for use studies pain.Movement,...

10.3389/fpain.2022.1085791 article EN cc-by Frontiers in Pain Research 2022-12-20

Introduction: Avatars are becoming more common in virtual reality, used as a guide, teacher, companion, or mentor through immersive experiences. Special attention needs to be paid their design ensure credibility and working alliance, allow for the optimal delivery of behavior change content. Methods: We present new embodied Semi-Autonomous Mentoring Intelligence (SAMI) avatar an reality intervention self-management chronic pain. discuss research findings that were taken into consideration...

10.3389/frvir.2022.882980 article EN cc-by Frontiers in Virtual Reality 2022-07-07

Chronic low back pain (CLBP) is a globally common musculoskeletal problem. Measuring the sensation of and effect treatment has always been challenge for healthcare. Here, we study how movement data, collected while using virtual reality (VR) program, could be used as an objective measurement in patients with CLBP. A specific data collection method based on VR was developed CLBP healthy volunteers. We demonstrate that can to classify individuals these two groups high accuracy by logistic...

10.1145/3582487 article EN ACM Transactions on Computing for Healthcare 2023-02-24

<sec> <title>BACKGROUND</title> Real-time remote monitoring and timely detection of clinical deterioration, especially for high-risk haematological oncological outpatients, continues to be a challenge. Our pilot study, one the few within this specific context, investigated between October 2021 July 2022 telemedicine- wearable-based system detect early changes in vital signs among outpatients. </sec> <title>OBJECTIVE</title> primary objective was assess patients' perceived sense safety at...

10.2196/preprints.53866 preprint EN 2023-10-22
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