Equivalence of the Alberta infant motor scale using a home-video made by parents and observation by a pediatric physical therapist

Physiotherapy ◽  
2015 ◽  
Vol 101 ◽  
pp. e1109-e1110 ◽  
Author(s):  
J. Nuysink ◽  
E. van Dam ◽  
M. Boonzaaijer ◽  
I.-L. van Haastert
Keyword(s):  
Physical Therapist ◽  
Home Video

Hollywood Vault: Film Libraries before Home Video by Eric Hoyt

2015 ◽  
Vol 68 (3) ◽  
pp. 94-96
Author(s):  
Joseph Pomp
Keyword(s):  
Home Video

Distribution und Vermarktung von Kinofilmen in einer entmaterialisierten Medienwirtschaft

2014 ◽  
Vol 11 (1) ◽  
pp. 12-23
Author(s):  
Felix Sattelberger
Keyword(s):  
Home Video

Die Potenziale einer entmaterialisierten Medienwirtschaft konsequent und mit innovativen Ansätzen im Bereich der Distribution und Vermarkung zu nutzen, ist eine der zentralen Herausforderungen der Filmindustrie, um auf die immer zeitsensiblere und ausdifferenziertere Nachfrage zu reagieren. Der Beitrag arbeitet anhand medienökonomischer Überlegungen aktuelle Risiken und strategische Ansätze heraus, wie Verleiher und Kinobetreiber diesen Herausforderungen begegnen können. Basierend auf dem mikroökonomischen Konzept der Kreuzpreiselastizität kann gezeigt werden, dass zwischen dem Kino- und dem Home-Video-Markt in Deutschland von 2001 bis 2012 insgesamt ein komplementäres Verhältnis besteht. Der Autor plädiert dafür, die Verknappung des Angebots durch zeitliche Preisdiskriminierung in den Vermarktungsfenstern zugunsten flexibel anwendbarer Vermarktungsstrategien unter Stärkung der jeweiligen komparativen Vorteile einzelner Kanäle abzuschaffen.

scholarly journals The Physical Therapist in a Nuclear Disaster

1964 ◽  
Vol 44 (4) ◽  
pp. 251-255
Author(s):  
Bernice R. Krumhansl
Keyword(s):  
Physical Therapist ◽  
Nuclear Disaster

scholarly journals Automatically evaluating balance using machine learning and data from a single inertial measurement unit

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Fahad Kamran ◽  
Kathryn Harrold ◽  
Jonathan Zwier ◽  
Wendy Carender ◽  
Tian Bao ◽  
...  
Keyword(s):  
Machine Learning ◽  
Inertial Measurement Unit ◽  
Physical Therapists ◽  
Physical Therapist ◽  
Model Performance ◽  
Machine Learning Techniques ◽  
Measurement Unit ◽  
Balance Performance ◽  
Inertial Measurement ◽  
Self Assessments

Abstract Background Recently, machine learning techniques have been applied to data collected from inertial measurement units to automatically assess balance, but rely on hand-engineered features. We explore the utility of machine learning to automatically extract important features from inertial measurement unit data for balance assessment. Findings Ten participants with balance concerns performed multiple balance exercises in a laboratory setting while wearing an inertial measurement unit on their lower back. Physical therapists watched video recordings of participants performing the exercises and rated balance on a 5-point scale. We trained machine learning models using different representations of the unprocessed inertial measurement unit data to estimate physical therapist ratings. On a held-out test set, we compared these learned models to one another, to participants’ self-assessments of balance, and to models trained using hand-engineered features. Utilizing the unprocessed kinematic data from the inertial measurement unit provided significant improvements over both self-assessments and models using hand-engineered features (AUROC of 0.806 vs. 0.768, 0.665). Conclusions Unprocessed data from an inertial measurement unit used as input to a machine learning model produced accurate estimates of balance performance. The ability to learn from unprocessed data presents a potentially generalizable approach for assessing balance without the need for labor-intensive feature engineering, while maintaining comparable model performance.

scholarly journals Rethinking Telerehabilitation: Attitudes of Physical Therapists and Patients

2021 ◽  
Vol 8 ◽  
pp. 237437352110343
Author(s):  
Fereshteh Saaei ◽  
Susan G Klappa
Keyword(s):  
Patient Population ◽  
Physical Therapists ◽  
Physical Therapist ◽  
Patient Survey ◽  
Patient Perspectives ◽  
Remote Care ◽  
Virtual Therapy ◽  
Therapy Sessions

COVID-19 has accelerated the adoption of telehealth among various specialties, including rehabilitation. The fast-paced implementation of telerehabilitation has laid bare its challenges, providing an opportunity for innovation in order to enhance the experience of remote care. The purpose of this study sought to understand the attitudes toward telerehabilitation from physical therapist (PT) and patient perspectives. Two surveys administered to PTs, and the general patient population explored beliefs regarding telerehabilitation. There were a total of 289 participant responses in this study. There were 228 PT respondents and 61 patients who responded to the patient survey. Qualitative results describe current attitudes toward telerehabilitation. Results indicated both groups were receptive to virtual therapy sessions; however, some challenges were also reported. Current challenges and trends in utilizing telerehabilitation are further discussed.

Blood-flow Restriction Training for a Person With Primary Progressive Multiple Sclerosis: A Case Report

2020 ◽  
Author(s):  
Evan T Cohen ◽  
Nicole Cleffi ◽  
Marianne Ingersoll ◽  
Herb I Karpatkin
Keyword(s):  
Multiple Sclerosis ◽  
Blood Flow ◽  
Case Report ◽  
Physical Therapist ◽  
Blood Flow Restriction ◽  
Patient Specific ◽  
Primary Progressive Multiple Sclerosis ◽  
Primary Progressive ◽  
Flow Restriction ◽  
Strength Tests

Abstract Objective Blood flow restriction (BFR) training, in which an inflatable cuff partially occludes blood flow around the proximal portion of a limb, coupled with low-intensity resistance training (LIRT) has resulted in gains comparable to traditional progressive resistive exercise in healthy populations. The use of BFR with LIRT may enable people with multiple sclerosis (MS) to improve strength without an increase in fatigue. The purpose of this case report is to describe the use of a BFR/LIRT program for a person with MS. Methods (Case Description) The patient was a 54-year-old woman with a 13-year history of primary progressive MS with an Extended Disability Severity Score of 3.0 out of 10. She received a BFR/LIRT program for both lower extremities (LE) biweekly for 12 weeks. Outcomes measured at baseline and at 6 and 12 weeks included the 12-item Multiple Sclerosis Walking Scale (MSWS-12), Fatigue Severity Scale (FSS), Patient-Specific Functional Scale (PSFS) (goals: running for exercise and pleasure for 45 minutes, 100% confidence in negotiating a flight of stairs, confidently and safely drive without restriction), and 14 LE strength tests. Results The intervention was well tolerated without adverse events. After 6 weeks, the MSWS-12 score improved; however, it did not exceed minimum detectable change (MDC). FSS was unchanged. All PSFS goals improved beyond MDC, and improvements in strength exceeded MDC in 2 out of 14 tests. After 12 weeks, MSWS-12 improvements persisted and the FSS score improved, but neither exceeded MDC. The PSFS improvements persisted. There were improvements exceeding MDC for 8 out of 14 strength tests. The remaining 6 strength tests improved but did not exceed MDC. Conclusion The patient had measurable improvements following the use of a BFR/LIRT program. BFR/LIRT may be an option for strength training in people with MS; however, research is needed to determine its safety and effectiveness across the population of people with MS. Impact Traditional physical therapist interventions for people with MS have been shown to be beneficial; however, their usefulness has been limited by fatigue. A growing body of literature has demonstrated the effects of a BFR/LIRT program on strength and other measures of physical function in healthy populations and those with chronic disease. This case report adds missing information to the existing literature and suggests directions for research on the effectiveness of BFR/LIRT in people with primary progressive MS.

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