Intersection cross-cut: sensor-skin-temperature ∩ algo-activity-classification

Axes: sensors × algorithms

8 corpus entries disclose both tags.

Earliest disclosure: 2005-09

These entries are the direct inputs to OBVIOUSNESS_TEMPLATE.md. Any patent claim combining these two elements is anticipated or rendered obvious by the chain below.

Paradiso et al. (2005) — ‘A wearable health care system based on knitted integrated sensors’ (WEALTHY) (2005-09)

  • id: paradiso-2005-wealthy-knitted-smart-shirt
  • corpus: academic
  • form factor: garment
  • creator: Rita Paradiso / Giannicola Loriga / Nicola Taccini (Smartex / CNR, Italy; EU WEALTHY consortium)
  • disclosure: Paradiso R, Loriga G, Taccini N. ‘A wearable health care system based on knitted integrated sensors.’ IEEE Transactions on Information Technology in Biomedicine 2005;9(3):337-344. (Output of the EU FP5 ‘WEALTHY’ project, 2002-2005.)
  • ip status: public-domain
  • sensors: sensor-ecg, sensor-respiration-impedance, sensor-piezoelectric, sensor-accelerometer, sensor-skin-temperature
  • algorithms: algo-hr, algo-respiratory-rate, algo-activity-classification
  • prior art notes: Discloses a smart shirt with electrodes and sensors knitted directly into the textile (conductive yarns forming dry ECG electrodes; piezoresistive yarns forming respiration sensors via thoracic/abdominal expansion; accelerometer; temperature) plus an on-garment electronic interface and wireless link, deriving ECG, heart rate, respiration, posture/activity, and temperature — i.e. a fully integrated textile-electrode wearable. Any claim reciting ‘an item of clothing with electrodes/sensors integrated into the fabric structure for physiological monitoring’ reads on Paradiso 2005. Anchor for the garment × textile-electrode cross-cut; the foundational EU project for the smart-shirt patent space (Hexoskin, Cityzen, etc. all build on this lineage).

Pantelopoulos & Bourbakis (2010) — survey on wearable sensor-based systems for health monitoring and prognosis (2010-01)

  • id: pantelopoulos-bourbakis-2010-wearable-health-survey
  • corpus: academic
  • form factor: other
  • creator: Alexandros Pantelopoulos / Nikolaos G. Bourbakis
  • disclosure: Pantelopoulos A, Bourbakis NG. ‘A survey on wearable sensor-based systems for health monitoring and prognosis.’ IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 2010;40(1):1-12.
  • ip status: public-domain
  • sensors: sensor-ecg, sensor-ppg, sensor-spo2, sensor-accelerometer, sensor-skin-temperature, sensor-respiration-impedance
  • algorithms: algo-hr, algo-arrhythmia-classification, algo-spo2-estimation, algo-fall-detection, algo-activity-classification
  • prior art notes: Surveys, as of 2010, the architecture and components of wearable health-monitoring systems — sensors (ECG, PPG, SpO2, accelerometry, temperature, respiration), garment- and patch- and watch-based form factors, on-body processing, wireless body-area networking, and the analytics (arrhythmia, fall, activity, deterioration prediction). Prior art establishing that the general ‘multi-sensor wearable + body-area network + cloud analytics’ system architecture and its building blocks were collected and published by 2010 — useful against later claims to the bare system architecture. General anchor.

WHOOP Strap (2015) — display-less wrist/bicep PPG band for continuous HR/HRV, sleep and recovery (2015)

  • id: whoop-strap-2015
  • corpus: private
  • form factor: bracelet
  • creator: WHOOP, Inc. (Will Ahmed)
  • disclosure: WHOOP, Inc. ‘WHOOP Strap’, launched 2015 — a screenless band worn on the wrist or upper arm with photoplethysmography, a 3-axis accelerometer, and skin-temperature sensing, providing continuous heart rate, heart-rate variability, respiratory rate, sleep staging, and a derived ‘recovery’ score, with no on-device display.
  • ip status: patented
  • sensors: sensor-ppg, sensor-accelerometer, sensor-skin-temperature
  • algorithms: algo-hr, algo-hrv, algo-respiratory-rate, algo-sleep-staging, algo-activity-classification
  • prior art notes: Discloses a display-less band worn on the wrist or upper arm with PPG, accelerometry, and skin-temperature sensing that continuously derives HR, HRV, respiratory rate, and sleep stages and combines them into a daily ‘recovery’ index, with no screen (companion-app readout). Anticipates screenless-band claims and PPG-derived-HRV/recovery-score claims from 2015. Product-side anchor for the bracelet × PPG cross-cut and the HRV cross-cut.

VitalConnect VitalPatch (2016) — adhesive chest patch with single-lead ECG and multi-parameter monitoring (2016)

  • id: vitalconnect-vitalpatch-2016
  • corpus: private
  • form factor: patch
  • creator: VitalConnect, Inc.
  • disclosure: VitalConnect, Inc. ‘VitalPatch’ biosensor, FDA-cleared as a single-use adhesive chest patch with single-lead ECG, heart rate, heart-rate variability, respiratory rate, skin temperature, posture, activity, and fall detection, streamed wirelessly to a smartphone/relay; 7-day wear (later 14-day variants).
  • ip status: patented
  • sensors: sensor-ecg, sensor-accelerometer, sensor-skin-temperature
  • algorithms: algo-hr, algo-hrv, algo-respiratory-rate, algo-activity-classification, algo-posture-detection, algo-fall-detection, algo-arrhythmia-classification
  • prior art notes: Discloses a single-use adhesive chest patch deriving single-lead ECG, HR, HRV, respiratory rate, skin temperature, posture, activity, and falls in one body-worn unit, streamed wirelessly — i.e. a packed multi-parameter vital-signs patch. Anticipates multi-parameter ECG-patch claims combining any subset of those measurements in one adhesive form factor from 2016. Product-side anchor for the patch × multi-parameter-vitals cross-cut alongside [[fda-k113862-irhythm-zio-patch-2011]] (the AFib-focused variant).

Empatica Embrace2 (2018) — first FDA-cleared seizure-monitoring smartwatch (accelerometer + electrodermal activity) (2018-01-31)

  • id: empatica-embrace2-seizure-watch-2018
  • corpus: private
  • form factor: watch
  • creator: Empatica Inc. (Rosalind Picard, Matteo Lai, et al.)
  • disclosure: Empatica Inc. ‘Embrace2’ smartwatch, FDA-cleared January 2018 — a wrist-worn device with a 3-axis accelerometer/gyroscope, an electrodermal-activity (EDA) sensor, and a peripheral skin-temperature sensor, running an on-device classifier that detects probable generalized tonic-clonic seizures from the combined motion + EDA signature and alerts caregivers; the first FDA-cleared smartwatch for seizure monitoring. (Descends from the MIT Media Lab ‘iCalm’/’Q sensor’ EDA wristband research, Picard et al.)
  • ip status: patented
  • sensors: sensor-accelerometer, sensor-gyroscope, sensor-gsr, sensor-skin-temperature
  • algorithms: algo-seizure-detection, algo-stress-index, algo-activity-classification
  • prior art notes: Discloses a wristworn device that detects probable generalized tonic-clonic seizures by combining a motion (accelerometer/gyroscope) signature with an electrodermal-activity (sympathetic-surge) signature in an on-device classifier, and alerts caregivers — i.e. multimodal wrist-based seizure detection, distinct from the EEG-based approach. Anticipates wrist-seizure-detection claims combining ‘a wrist-worn accelerometer and an electrodermal-activity sensor’ and ‘a classifier flagging a seizure from their combined signal’ from 2018. Product-side anchor for the wrist × seizure-detection cross-cut; complementary to the EEG route in [[zanetti-aminifar-atienza-eglass-2025]] and [[chb-mit-scalp-eeg-database-2009]].

BioIntelliSense BioSticker (2019) — long-wear adhesive chest patch with extensive multi-parameter monitoring (2019-12)

  • id: biointellisense-biosticker-2019
  • corpus: private
  • form factor: patch
  • creator: BioIntelliSense, Inc.
  • disclosure: BioIntelliSense, Inc. ‘BioSticker’ single-use adhesive medical-grade biosensor, FDA-cleared 2019 — a chest patch with up to 30-day wear continuously measuring skin temperature, single-lead ECG-derived heart rate at rest, respiratory rate at rest, body position, activity (steps, cadence, gait), sleep, cough, vomiting events, and falls, with wireless upload.
  • ip status: patented
  • sensors: sensor-ecg, sensor-accelerometer, sensor-skin-temperature, sensor-microphone-air
  • algorithms: algo-hr, algo-respiratory-rate, algo-activity-classification, algo-posture-detection, algo-fall-detection, algo-cough-detection, algo-gait-analysis, algo-sleep-staging
  • prior art notes: Discloses a single-use 30-day adhesive chest patch combining skin temperature, resting HR-from-ECG, resting RR, posture/activity, sleep, cough and vomiting event detection, and falls — i.e. an unusually broad multi-parameter long-wear patch with explicit event-detection (cough, vomit) classifiers. Anticipates long-wear multi-parameter patch claims from 2019, including the event-detection (cough/vomit) elements that some later patents recite. Product-side anchor for the patch × long-wear multi-parameter cross-cut.

HealthyPi Move (ProtoCentral, 2026) — open-source medical-grade smartwatch (2024)

  • id: healthypi-move-2026
  • corpus: open
  • form factor: watch
  • creator: ProtoCentral Electronics
  • disclosure: ProtoCentral Electronics (Bengaluru, India). ‘HealthyPi Move’ fully open-source AMOLED smartwatch — Crowd Supply campaign launched 2024, units shipping 15 May 2026. Sensors: single-lead ECG, dual-site PPG (wrist + finger), SpO2, blood-pressure trending, EDA/GSR, heart rate, HRV, respiration rate (derived), body temperature, 6-axis IMU. Compute: Nordic nRF5340 (dual ARM Cortex-M33). Display: AMOLED, 300 mAh battery. Companion app: Flutter, runs on Android/iOS/macOS/Windows/Linux, all data stored locally. Hardware design, firmware (Zephyr RTOS on nRF Connect SDK), and companion app all open-source. https://www.crowdsupply.com/protocentral/healthypi-move
  • ip status: open-permissive
  • sensors: sensor-ecg, sensor-ppg, sensor-spo2, sensor-multi-wavelength-ppg, sensor-gsr, sensor-accelerometer, sensor-gyroscope, sensor-skin-temperature
  • algorithms: algo-hr, algo-hrv, algo-spo2-estimation, algo-respiratory-rate, algo-pwv-bp-estimation, algo-sleep-staging, algo-activity-classification, algo-step-count
  • prior art notes: Discloses, as fully open-source hardware and firmware (CC and MIT-style licensing across components), a wrist-worn smartwatch with the full consumer-medical sensor stack: single-lead ECG between back-of-watch electrode and a finger-touch electrode; multi-wavelength reflectance PPG with SpO2 and BP-trending; EDA/GSR; skin temperature; 6-axis IMU; on-device Zephyr-RTOS application; AMOLED display; all-local data storage via cross-platform Flutter app. Anticipates wrist-multi-sensor-watch claims from 2024-2026 to the extent they recite combinations of these elements; as open prior art it is unencumbered and any patent claim reciting these combinations must distinguish over HealthyPi Move’s specific implementation. The product-side anchor for the ‘open watch with the full sensor stack’ cross-cut.

H-Watch (Magno et al., 2024) — open-source ARM Cortex-M4F + ML + NB-IoT + energy-harvesting research smartwatch (2024)

  • id: h-watch-magno-2024
  • corpus: academic
  • form factor: watch
  • creator: Michele Magno et al. (ETH Zürich and collaborators)
  • disclosure: Magno M, et al. ‘H-Watch: A Multi-Sensor Smart Wearable for COVID-19 Symptom Monitoring with ML and Energy Harvesting.’ arXiv:2407.21501 (2024). Fully open-source smartwatch hardware + firmware for symptom monitoring: ARM Cortex-M4F MCU, on-device ML inference, NB-IoT cellular connectivity, integrated energy harvesting + battery. https://arxiv.org/abs/2407.21501
  • ip status: public-domain
  • sensors: sensor-ppg, sensor-spo2, sensor-skin-temperature, sensor-accelerometer
  • algorithms: algo-hr, algo-spo2-estimation, algo-respiratory-rate, algo-activity-classification
  • prior art notes: Discloses a fully open-source research smartwatch combining multi-sensor vitals (PPG/SpO2/temperature/IMU), on-device ML inference, NB-IoT direct cellular connectivity (no phone required), and integrated energy harvesting to extend battery life — published with full hardware design and firmware. Prior art for symptom-monitoring smartwatch claims reciting any of those elements from 2024. Establishes that the cellular-connected open-hardware ML-enabled smartwatch is a published research design.

Public domain (CC0 1.0). The corpus IS the prior art commons.

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